Podcasts about rfp

The reception to our recent post on Code Reviews has been strong. Catch up!Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing well over $1.1B in ARR for the first time with a 28% margin. As we comment on the pod, Aaron Levie is the rare public company CEO equally at home in both worlds of Silicon Valley and Wall Street/Main Street, by day helping 70% of the Fortune 500 with their Enterprise Advanced Suite, and yet by night is often found in the basements of early startups and tweeting viral insights about the future of agents.Now that both Cursor, Cloudflare, Perplexity, Anthropic and more have made Filesystems and Sandboxes and various forms of “Just Give the Agent a Box” cool (not just cool; it is now one of the single hottest areas in AI infrastructure growing 100% MoM), we find it a delightfully appropriate time to do the episode with the OG CEO who has been giving humans and computers Boxes since he was a college dropout pitching VCs at a Michael Arrington house party.Enjoy our special pod, with fan favorite returning guest/guest cohost Jeff Huber!Note: We didn't directly discuss the AI vs SaaS debate - Aaron has done many, many, many other podcasts on that, and you should read his definitive essay on it. Most commentators do not understand SaaS businesses because they have never scaled one themselves, and deeply reflected on what the true value proposition of SaaS is.We also discuss Your Company is a Filesystem:We also shoutout CTO Ben Kus' and the AI team, who talked about the technical architecture and will return for AIE WF 2026.Full Video EpisodeTimestamps* 00:00 Adapting Work for Agents* 01:29 Why Every Agent Needs a Box* 04:38 Agent Governance and Identity* 11:28 Why Coding Agents Took Off First* 21:42 Context Engineering and Search Limits* 31:29 Inside Agent Evals* 33:23 Industries and Datasets* 35:22 Building the Agent Team* 38:50 Read Write Agent Workflows* 41:54 Docs Graphs and Founder Mode* 55:38 Token FOMO Culture* 56:31 Production Function Secrets* 01:01:08 Film Roots to Box* 01:03:38 AI Future of Movies* 01:06:47 Media DevRel and EngineeringTranscriptAdapting Work for AgentsAaron Levie: Like you don't write code, you talk to an agent and it goes and does it for you, and you may be at best review it. That's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work.We basically adapted to how the agent works. All of the economy has to go through that exact same evolution. Right now, it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this ‘cause you'll see compounding returns. But that's just gonna take a while for most companies to actually go and get this deployed.swyx: Welcome to the Lane Space Pod. We're back in the chroma studio with uh, chroma, CEO, Jeff Hoover. Welcome returning guest now guest host.Aaron Levie: It's a pleasure. Wow. How'd you get upgraded to, uh, to that?swyx: Because he's like the perfect guy to be guest those for you.Aaron Levie: That makes sense actually, for We love context. We, we both really love context le we really do.We really do.swyx: Uh, and we're here with, uh, Aaron Levy. Welcome.Aaron Levie: Thank you. Good to, uh, good to be [00:01:00] here.swyx: Uh, yeah. So we've all met offline and like chatted a little bit, but like, it's always nice to get these things in person and conversation. Yeah. You just started off with so much energy. You're, you're super excited about agents.I loveAaron Levie: agents.swyx: Yeah. Open claw. Just got by, got bought by OpenAI. No, not bought, but you know, you know what I mean?Aaron Levie: Some, some, you know, acquihire. Executiveswyx: hire.Aaron Levie: Executive hire. Okay. Executive hire. Say,swyx: hey, that's my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets.Why Every Agent Needs a BoxAaron Levie: Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we've, we've built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files.All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. [00:02:00] But there's been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don't really see them for a long time.And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that's onboarding, that needs to ramp up on a project.Um, it contains the answer to the right thing to sell a customer when you're having a conversation to them, with them contains the roadmap information that's gonna produce the next feature. So all that data. That previously we've been just sort of storing and, and you know, occasionally forgetting about, ‘cause we're only working on the new active stuff.All of that information becomes valuable to the enterprise and it's gonna become extremely valuable to end users because now they can have agents go find what they're looking for and produce new, new [00:03:00] value and new data on that information. And it's gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they're gonna need access to that data as well.And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there's gonna be agents that are just.Effectively autonomous and kind of run on their own and, and you're gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody's, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent.It's on its own system, it's on its own computer, it has access to its own tools. I probably don't give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that [00:04:00] enterprise data.We think it's gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we're building the right platform to support that.swyx: The sort of shorthand I put it is as people build agents, everybody's just realizing that every agent needs a box. Yes.And it's nice to be called box and just give everyone a box.Aaron Levie: Hey, I if I, you know, if we can make that go viral, uh, like I, I think that that terminology, I, that's theswyx: tagline. Every agentAaron Levie: needs a box. Every agent needs a box. If we can make that the headline of this, I'm fine with this. And that's the billboard I wanna like Yeah, exactly.Every agent needs a box. Um, I like it. Can we ship this? Like,swyx: okay, let's do it. Yeah.Aaron Levie: Uh, my work here is done and I got the value I needed outta this podcast Drinks.swyx: Yeah.Agent Governance and IdentityAaron Levie: But, but, um, but, but, you know, so the thing that we, we kind of think about is, um, is, you know, whether you think the number 10 x or a hundred x or whatever the number is, we're gonna have some order of magnitude more agents than people.That's inevitable. It has to happen. So then the question is, what is the infrastructure that's needed to make all those agents effective in the enterprise? Make sure that they are well governed. Make sure they're only doing [00:05:00] safe things on your information. Make sure that they're not getting exposed. The data that they shouldn't have access to.There's gonna be just incredibly spectacularly crazy security incidents that will happen with agents because you'll prompt, inject an agent and sort of find your way through the CRM system and pull out data that you shouldn't have access to. Oh, weJeff Huber: have God,Aaron Levie: right? I mean, that's just gonna happen all over the place, right?So, so then the thing is, is how do you make sure you have the right security, the permissions, the access controls, the data governance. Um, we actually don't yet exactly know in many cases how we're gonna regulate some of these agents, right? If you think about an agent in financial services, does it have the exact same financial sort of, uh, requirements that a human did?Or is it, is the risk fully on the human that was interacting or created the agent? All open questions, but no matter what, there's gonna need to be a layer that manages the, the data they have access to, the workflows that they're involved in, pulling up data from multiple systems. This is the new infrastructure opportunity in the era of agents.swyx: You have a piece on agent identities, [00:06:00] which I think was today, um, which I think a lot of breaking news, the security, security people are talking about, right? Like you basically, I, I always think of this as like, well you need the human you and then there you need the agent. YouAaron Levie: Yes.swyx: And uh, well, I don't know if it's that simple, but is box going to have an opinion on that or you're just gonna be like, well we're just the sort of the, the source layer.Yeah. Let's Okta of zero handle that.Aaron Levie: I think we're gonna have an opinion and we will work with generally wherever the contours of the market end up. Um, and the reason that we're gonna have an opinion more than other topics probably is because one of the biggest use cases for why your agent might need it, an identity is for file system access.So thus we have to kind of think about this pretty deeply. And I think, uh, unless you're like in our world thinking about this particular problem all day long, it might be, you know, like, why is this such a big deal? And the reason why it's a really big deal is because sometimes sort of say, well just give the agent an, an account on the system and it just treats, treat it like every other type of user on the system.The [00:07:00] problem is, is that I as Aaron don't really have any responsibility over anybody else's box account in our organization. I can't see the box account of any other employee that I work with. I am not liable for anything that they do. And they have, I have, I have, you know, strict privacy requirements on everything that they're able to, you know, that, that, that they work on.Agents don't have that, you know, don't have those properties. The person who creates the agent probably is gonna, for the foreseeable future, take on a lot of the liability of what that agent does. That agent doesn't deserve any privacy because, because it's, you know, it can't fully be autonomously operated and it doesn't have any legal, you know, kind of, you know, responsibility.So thus you can't just be like, oh, well I'll just create a bunch of accounts and then I'll, I'll kind of work with that agent and I'll talk to it occasionally. Like you need oversight of that. And so then the question is, how do you have a world where the agent, sometimes you have oversight of, but what if that agent goes and works with other people?That person over there is collaborating with the agent on something you shouldn't have [00:08:00] access to what they're doing. So we have all of these new boundaries that we're gonna have to figure out of, of, you know, it's really, really easy. So far we've been in, in easy mode. We've hit the easy button with ai, which is the agent just is you.And when you're in quad code and you're in cursor, and you're in Codex, you're just, the agent is you. You're offing into your services. It can do everything you can do. That's the easy mode. The hard mode is agents are kind of running on their own. People check in with them occasionally, they're doing things autonomously.How do you give them access to resources in the enterprise and not dramatically increased the security risk and the risk that you might expose the wrong thing to somebody. These are all the new problems that we have to get solved. I like the identity layer and, and identity vendors as being a solution to that, but we'll, we'll need some opinions as well because so many of the use cases are these collaborative file system use cases, which is how do I give it an agent, a subset of my data?Give it its own workspace as well. ‘cause it's gonna need to store off its own information that would be relevant for it. And how do I have the right oversight into that? [00:09:00]Jeff Huber: One thing, which, um, I think is kind interesting, think about is that you know, how humans work, right? Like I may not also just like give you access to the whole file.I might like sit next to you and like scroll to this like one part of the file and just show you that like one part and like, you know,swyx: partial file access.Jeff Huber: I'm just saying I think like our, like RA does seem to be dead, right? Like you wanna say something is dead uhhuh probably RA is dead. And uh, like the auth story to me seems like incredibly unsolved and unaddressed by like the existing state of like AI vendors.ButAaron Levie: yeah, I think, um, we're, I mean you're taking obviously really to level limit that we probably need to solve for. Yeah. And we built an access control system that was, was kind of like, you know, its own little world for, for a long time. And um, and the idea was this, it's a many to many collaboration system where I can give you any part of the file system.And it's a waterfall model. So if I give you higher up in the, in the, in the system, you get everything below. And that, that kind of created immense flexibility because I can kind of point you to any layer in the, in the tree, but then you're gonna get access to everything kind of below it. And that [00:10:00] mostly is, is working in this, in this world.But you do have to manage this issue, which is how do I create an agent that has access to some of my stuff and somebody else's stuff as well. Mm-hmm. And which parts do I get to look at as the creator of the agent? And, and these are just brand new problems? Yeah. Crazy. And humans, when there was a human there that was really easy to do.Like, like if the three of us were all sharing, there'd be a Venn diagram where we'd have an overlapping set of things we've shared, but then we'd have our own ways that we shared with each other. In an agent world, somebody needs to take responsibility for what that agent has access to and what they're working on.These are like the, some of the most probably, you know, boring problems for 98% of people on, on the internet, but they will be the problems that are the difference between can you actually have autonomous agents in an enterprise contextswyx: Yeah.Aaron Levie: That are not leaking your data constantly.swyx: No. Like, I mean, you know, I run a very, very small company for my conference and like we already have data sensitivity issues.Yes. And some of my team members cannot see Yes. Uh, the others and like, I can't imagine what it's like to run a Fortune 500 and like, you have to [00:11:00] worry about this. I'm just kinda curious, like you, you talked to a lot like, like 70, 80% of your cus uh, of the Fortune 500, your customers.Aaron Levie: Yep. 67%. Just so we're being verySEswyx: precise.So Yeah. I'm notAaron Levie: Okay. Okay.swyx: Something I'm rounding up. Yes. Round up. I'm projecting to, forAaron Levie: the government.swyx: I'm projecting to the end of the year.Aaron Levie: Okay.swyx: There you go.Aaron Levie: You do make it sound like, like we, we, well we've gotta be on this. Like we're, we're taking way too long to get to 80%. Well,swyx: no, I mean, so like. How are they approaching it?Right? Because you're, you don't have a, you don't have a final answer yet.Why Coding Agents Took Off FirstAaron Levie: Well, okay, so, so this is actually, this is the stark reality that like, unfortunately is the kinda like pouring the water on the party a little bit.swyx: Yes.Aaron Levie: We all in Silicon Valley are like, have the absolute best conditions possible for AI ever.And I think we all saw the dke, you know, kind of Dario podcast and this idea of AI coding. Why is that taken off? And, and we're not yet fully seeing it everywhere else. Well, look, if you just like enumerated the list of properties that AI coding has and then compared it to other [00:12:00] knowledge work, let's just, let's just go through a few of them.Generally speaking, you bring on a new engineer, they have access to a large swath of the code base. Like, there's like very, like you, just, like new engineer comes on, they can just go and find the, the, the stuff that they, they need to work with. It's a fully text in text out. Medium. It's only, it's just gonna be text at the end of the day.So it's like really great from a, from just a, uh, you know, kinda what the agent can work with. Obviously the models are super trained on that dataset. The labs themselves have a really strong, kind of self-reinforcing positive flywheel of why they need to do, you know, agent coding deeply. So then you get just better tooling, better services.The actual developers of the AI are daily users of the, of the thing that they're we're working on versus like the, you know, probably there's only like seven Claude Cowork legal plugin users at Anthropic any given day, but there's like a couple thousand Claude code and you know, users every single day.So just like, think about which one are they getting more feedback on. All day long. So you just go through this list. You have a, you know, everybody who's a [00:13:00] developer by definition is technical so they can go install the latest thing. We're all generally online, or at least, you know, kinda the weird ones are, and we're all talking to each other, sharing best practices, like that's like already eight differences.Versus the rest of the economy. Every other part of the economy has like, like six to seven headwinds relative to that list. You go into a company, you're a banker in financial services, you have access to like a, a tiny little subset of the total data that's gonna be relevant to do your job. And you're have to start to go and talk to a bunch of people to get the right data to do your job because Sally didn't add you to that deal room, you know, folder.And that that, you know, the information is actually in a completely different organization that you now have to go in and, and sort of run into. And it's like you have this endless list of access controls and security. As, as you talked about, you have a medium, which is not, it's not just text, right? You have, you have a zoom call that, that you're getting all of the requirements from the customer.You have a lot of in-person conversations and you're doing in-person sales and like how do you ever [00:14:00] digitize all of that information? Um, you know, I think a lot of people got upset with this idea that the code base has all the context, um, that I don't know if you follow, you know, did you follow some of that conversation that that went viral?Is like, you know, it's not that simple that, that the code base doesn't have all the knowledge, but like it's a lot, you're a lot better off than you are with other areas of knowledge work. Like you, we like, we like have documentation practices, you write specifications. Those things don't exist for like 80% of work that happens in the enterprise.That's the divide that we have, which is, which is AI coding has, has just fully, you know, where we've reached escape velocity of how powerful this stuff is, and then we're gonna have to find a way to bring that same energy and momentum, but to all these other areas of knowledge work. Where the tools aren't there, the data's not set up to be there.The access controls don't make it that easy. The context engineering is an incredibly hard problem because again, you have access control challenges, you have different data formats. You have end users that are gonna need to kind of be kind of trained through this as opposed to their adopting [00:15:00] these tools in their free time.That's where the Fortune 500 is. And so we, I think, you know, have to be prepared as an industry where we are gonna be on a multi-year march to, to be able to bring agents to the enterprise for these workflows. And I think probably the, the thing that we've learned most in coding that, that the rest of the world is not yet, I think ready for, I mean, we're, they'll, they'll have to be ready for it because it's just gonna inevitably happen is I think in coding.What, what's interesting is if you think about the practice of coding today versus two years ago. It's probably the most changed workflow in maybe the history of time from the amount of time it's changed, right? Yeah. Like, like has any, has any workflow in the entire economy changed that quickly in terms of the amount of change?I just, you know, at least in any knowledge worker workflow, there's like very rarely been an event where one piece of technology and work practice has so fundamentally, you know, changed, changed what you do. Like you don't write code, you talk to an agent and it goes and [00:16:00] does it for you, and you may be at best review it.And even that's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work. We basically adapted to how the agent works. Mm-hmm. All of the economy has to go through that exact same evolution.The rest of the economy is gonna have to update its workflows to make agents effective. And to give agents the context that they need and to actually figure out what kind of prompting works and to figure out how do you ensure that the agent has the right access to information to be able to execute on its work.I, you know, this is not the panacea that people were hoping for, of the agent drops in, just automates your life. Like you have to basically re-engineer your workflow to get the most out of agents and, uh, and that, that's just gonna take, you know, multiple years across the economy. Right now it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this.‘cause [00:17:00] you'll see compounding returns, but that's just gonna take a while for most companies to actually go and get this deployed.swyx: I love, I love pushing back. I think that. That is what a lot of technology consultants love to hear this sort of thing, right? Yeah, yeah, yeah. First to, to embrace the ai. Yes. To get to the promised land, you must pay me so much money to a hundred percent to adopt the prescribed way of, uh, conforming to the agents.Yes. And I worry that you will be eclipsed by someone else who says, no, come as you are.Aaron Levie: Yeah.swyx: And we'll meet you where you are.Aaron Levie: And, and, and and what was the thing that went viral a week ago? OpenAI probably, uh, is hiring F Dees. Yeah. Uh, to go into the enterprise. Yeah. Yeah. And then philanthropic is embedded at Goldman Sachs.Yeah. So if the labs are having to do this, if, if the labs have decided that they need to hire FDE and professional services, then I think that's a pretty clear indication that this, there's no easy mode of workflow transformation. Yeah. Yeah. So, so to your point, I think actually this is a market opportunity for, you know, new professional services and consulting [00:18:00] firms that are like Agent Build and they, and they kind of, you know, go into organizations and they figure out how to re-engineer your workflows to make them more agent ready and get your data into the right format and, you know, reconstruct your business process.So you're, you're not doing most of the work. You're telling agents how to do the work and then you're reviewing it. But I haven't seen the thing that can just drop in and, and kinda let you not go through those changes.swyx: I don't know how that kind of sales pitch goes over. Yeah. You know, you're, you're saying things like, well, in my sort of nice beautiful walled garden, here's, there's, uh, because here's this, here's this beautiful box account that has everything.Yes. And I'm like, well, most, most real life is extremely messy. Sure. And like, poorly named and there duplicate this outdated s**tAaron Levie: a hundred percent. And so No, no, a hundred percent. And so this is actually No. So, so this is, I mean, we agree that, that getting to the beautiful garden is gonna be tough.swyx: Yeah.Aaron Levie: There's also the other end of the spectrum where I, I just like, it's a technical impossibility to solve. The agent is, is truly cannot get enough context to make the right decision in, in the, in the incredibly messy land. Like there's [00:19:00] no a GI that will solve that. So, so we're gonna have to kind of land in somewhere in between, which is like we all collectively get better at.Documentation practices and, and having authoritative relatively up-to-date information and putting it in the right place like agents will, will certainly cause us to be much better organized around how we work with our information, simply because the severity of the agent pulling the wrong data will be too high and the productivity gain of that you'll miss out on by not doing this will be too high as well, that you, that your competition will just do it and they'll just have higher velocity.So, uh, and, and we, we see this a lot firsthand. So we, we build a series of agents internally that they can kind of have access to your full box account and go off and you give it a task and it can go find whatever information you're looking for and work with. And, you know, thank God for the model progress, but like, if, if you gave that task to an agent.Nine months ago, you're just gonna get lots of bogus answers because it's gonna, it's gonna say, Hey, here's, here are fi [00:20:00] five, you know, documents that all kind of smell like the right thing. And I'm gonna, but I, but you're, you're putting me on the clock. ‘cause my assistant prompt says like, you know, be pretty smart, but also try and respond to the user and it's gonna respond.And it's like, ah, it got the wrong document. And then you do that once or twice as a knowledge worker and you're just neverswyx: again,Aaron Levie: never again. You're just like done with the system.swyx: Yeah. It doesn't work.Aaron Levie: It doesn't work. And so, you know, Opus four six and Gemini three one Pro and you know, whatever the latest five 3G BT will be, like, those things are getting better and better and it's using better judgment.And this sort of like the, all of these updates to the agentic tool and search systems are, are, we're seeing, we're seeing very real progress where the agent. Kind of can, can almost smell some things a little bit fishy when it's getting, you know, we, we have this process where we, we have it go fan out, do a bunch of searches, pull up a bunch of data, and then it has to sort of do its own ranking of, you know, what are the right documents that, that it should be working with.And again, like, you know, the intelligence level of a model six months ago, [00:21:00] it'd be just throwing a dart at like, I'm just, I'm gonna grab these seven files and I, I pray, I hope that that's the right answer. And something like an opus first four five, and now four six is like, oh, it's like, no, that one doesn't seem right relative to this question because I'm seeing some signal that is making that, you know, that's contradicting the document where it would normally be in the tree and who should have access.Like it's doing all of that kind of work for you. But like, it still doesn't work if you just have a total wasteland of data. Like, it's just not, it's just not possible. Partly ‘cause a human wouldn't even be able to do it. So basically if a, if a really, really smart human. Could not do that task in five or 10 minutes for a search retrieval type task.Look, you know, your agent's not gonna be able to do it any better. You see this all day long. SoContext Engineering and Search Limitsswyx: this touches on a thing that just passionate about it was just context engineering. I, I'm just gonna let you ramble or riff on, on context engineering. If, if, if there's anything like he, he did really good work on context fraud, which has really taken over as like the term that people use and the referenceAaron Levie: a hundred percent.We, we all we think about is, is the context rob problem. [00:22:00]Jeff Huber: Yeah, there's certainly a lot of like ranking considerations. Gentech surgery think is incredibly promising. Um, yeah, I was trying to generate a question though. I think I have a question right now. Swyx.Aaron Levie: Yeah, no, but like, like I think there was this moment, um, you know, like, I don't know, two years ago before, before we knew like where the, the gotchas were gonna be in ai and I think someone was like, was like, well, infinite context windows will just solve all of these problems and ‘cause you'll just, you'll just give the context window like all the data and.It's just like, okay, I mean, maybe in 2035, like this is a viable solution. First of all, it, it would just, it would just simply cost too much. Like we just can't give the model like the 5,000 documents that might be relevant and it's gonna read them all. And I've seen enough to, to start believing in crazy stuff.So like, I'm willing to just say, sure. Like in, in 10 years from now,swyx: never say, never, never.Aaron Levie: In, in 10 years from now, we'll have infinite context windows at, at a thousandth of the price of today. Like, let's just like believe that that's possible, but Right. We're in reality today. So today we have a context engineering [00:23:00] problem, which is, I got, I got, you know, 200,000 tokens that I can work with, or prob, I don't even know what the latest graph is before, like massive degradation.16. Okay. I have 60,000 tokens that I get to work with where I'm gonna get accurate information. That's not a lot of tokens for a corpus of 10 million documents that a knowledge worker might have across all of the teams and all the projects and all the people they work with. I have, I have 10 million documents.Which, you know, maybe is times five pages per document or something like that. I'm at 50 million pages of information and I have 60,000 tokens. Like, holy s**t. Yeah. This is like, how do I bridge the 50 million pages of information with, you know, the couple hundred that I get to work with in that, in that token window.Yeah. This is like, this is like such an interesting problem and that's why actually so much work is actually like, just like search systems and the databases and that layer has to just get so locked in, but models getting better and importantly [00:24:00] knowing when they've done a search, they found the wrong thing, they go back, they check their work, they, they find a way to balance sort of appeasing the user versus double checking.We have this one, we have this one test case where we ask the agent to go find. 10 pieces of information.swyx: Is this the complex work eval?Aaron Levie: Uh, this is actually not in the eval. This is, this is sort of just like we have a bunch of different, we have a bunch of internal benchmark kind of scenarios. Every time we, we update our agent, we have one, which is, I ask it to find all of our office addresses, and I give it the list of 10 offices that we have.And there's not one document that has this, maybe there should be, that would be a great example of the kind of thing that like maybe over time companies start to, you know, have these sort of like, what are the canonical, you know, kind of key areas of knowledge that we need to have. We don't seem to have this one document that says, here are all of our offices.We have a bunch of documents that have like, here's the New York office and whatever. So you task this agent and you, you get, you say, I need the addresses for these 10 offices. Okay. And by the way, if you do this on any, you know, [00:25:00] public chat model, the same outcome is gonna happen. But for a different kind of query, you give it, you say, I need these 10 addresses.How many times should the agent go and do its search before it decides whether or not, there's just no answer to this question. Often, and especially the, the, let's say lower tier models, it'll come back and it'll give you six of the 10 addresses. And it'll, and I'll just say I couldn't find the otherswyx: four.It, it doesn't know what It doesn't know. ItAaron Levie: doesn't know what It doesn't know. Yeah. So the model is just like, like when should it stop? When should it stop doing? Like should it, should it do that task for literally an hour and just keep cranking through? Maybe I actually made up an office location and it doesn't know that I made it up and I didn't even know that I made it up.Like, should it just keep, re should it read every single file in your entire box account until it, until it should exhaust every single piece of information.swyx: Expensive.Aaron Levie: These are the new problems that we have. So, you know, something like, let's say a new opus model is sort of like, okay, I'm gonna try these types of queries.I didn't get exactly what I wanted. I'm gonna try again. I'm gonna, at [00:26:00] some point I'm gonna stop searching. ‘cause I've determined that that no amount of searching is gonna solve this problem. I'm just not able to do it. And that judgment is like a really new thing that the model needs to be able to have.It's like, when should it give up on a task? ‘cause, ‘cause you just don't, it's a can't find the thing. That's the real world of knowledge, work problems. And this is the stuff that the coding agents don't have to deal with. Because they, it just doesn't like, like you're not usually asking it about, you're, you're always creating net new information coming right outta the model for the most part.Obviously it has to know about your code base and your specs and your documentation, but, but when you deploy an agent on all of your data that now you have all of these new problems that you're dealing withJeff Huber: our, uh, follow follow-up research to context ride is actually on a genetic search. Ah. Um, and we've like right, sort of stress tested like frontier models and their ability to search.Um, and they're not actually that good at searching. Right. Uh, so you're sort of highlighting this like explore, exploit.swyx: You're just say, Debbie, Donna say everything doesn't work. Like,Aaron Levie: well,Jeff Huber: somebody has to be,Aaron Levie: um, can I just throw out one more thing? Yeah. That is different from coding and, and the rest [00:27:00] of the knowledge work that I, I failed to mention.So one other kind of key point is, is that, you know, at the end of the day. Whether you believe we're in a slop apocalypse or, or whatever. At the end of the day, if you, if you build a working product at the end of, if you, if you've built a working solution that is ultimately what the customer is paying for, like whether I have a lot of slop, a little slop or whatever, I'm sure there's lots of code bases we could go into in enterprise software companies where it's like just crazy slop that humans did over a 20 year period, but the end customer just gets this little interface.They can, they can type into it, it does its thing. Knowledge work, uh, doesn't have that property. If I have an AI model, go generate a contract and I generate a contract 20 times and, you know, all 20 times it's just 3% different and like that I, that, that kind of lop introduces all new kinds of risk for my organization that the code version of that LOP didn't, didn't introduce.These are, and so like, so how do you constrain these models to just the part that you want [00:28:00] them to work on and just do the thing that you want them to do? And, and, you know, in engineering, we don't, you can't be disbarred as an engineer, but you could be disbarred as a lawyer. Like you can do the wrong medical thing In healthcare, you, there's no, there's no equivalent to that of engineering.Like, doswyx: you want there to be, because I've considered softwareJeff Huber: engineer. What's that? Civil engineering there is, right? NotAaron Levie: software civil engineer. Sure. Oh yeah, for sure. But like in any of our companies, you like, you know, you'll be forgiven if you took down the site and, and we, we will do a rollback and you'll, you'll be in a meeting, but you have not been disbarred as an engineer.We don't, we don't change your, you know, your computer science, uh, blameJeff Huber: degree, this postmortem.Aaron Levie: Yeah, exactly. Exactly. So, so, uh, now maybe we collectively as an industry need to figure out like, what are you liable for? Not legally, but like in a, in a management sense, uh, of these agents. All sorts of interesting problems that, that, that, uh, that have to come out.But in knowledge work, that's the real hostile environments that we're operating in. Hmm.swyx: I do think like, uh, a lot of the last year's, 2025 story was the rise of coding agents and I think [00:29:00] 2026 story is definitely knowledge work agents. Yes. A hundredAaron Levie: percent.swyx: Right. Like that would, and I think open claw core work are just the beginning.Yes. Like it's, the next one's gonna just gonna be absolute craziness.Aaron Levie: It it is. And, and, uh, and it's gonna be, I mean, again, like this is gonna be this, this wave where we, we are gonna try and bring as many of the practices from coding because that, that will clearly be the forefront, which is tell an agent to go do something and has an access to a set of resources.You need to be responsible for reviewing it at the end of the process. That to me is the, is the kind of template that I just think goes across knowledge, work and odd. Cowork is a great example. Open Closet's a great example. You can kind of, sort of see what Codex could become over time. These are some, some really interesting kind of platforms that are emerging.swyx: Okay. Um, I wanted to, we touched on evals a little bit. You had, you had the report that you're gonna go bring up and then I was gonna go into like, uh, boxes, evals, but uh, go ahead. Talk about your genetic search thing.Jeff Huber: Yeah. Mostly I think kinda a few of the insights. It's like number one frontier model is not good at search.Humans have this [00:30:00] natural explore, exploit trade off where we kinda understand like when to stop doing something. Also, humans are pretty good at like forgetting actually, and like pruning their own context, whereas agents are not, and actually an agent in their kind of context history, if they knew something was bad and they even, you could see in the trace the reason you trace, Hey, that probably wasn't a good idea.If it's still in the trace, still in the context, they'll still do it again. Uhhuh. Uh, and so like, I think pruning is also gonna be like, really, it's already becoming a thing, right? But like, letting self prune the con windowsswyx: be a big deal. Yeah. So, so don't leave the mistake. Don't leave the mistake in there.Cut out the mistake but tell it that you made a mistake in the past and so it doesn't repeat it.Jeff Huber: Yeah. But like cut it out so it doesn't get like distracted by it again. ‘cause really, you know, what is so, so it will repeat its mistake just because it's been, it's inswyx: theJeff Huber: context. It'sAaron Levie: in the context so much.That's a few shot example. Even if it, yeah.Jeff Huber: It's like oh thisAaron Levie: is a great thing to go try even ifJeff Huber: it didn't work.Aaron Levie: Yeah,Jeff Huber: exactly.Aaron Levie: SoJeff Huber: there's like a bunch of stuff there. JustAaron Levie: Groundhogs Day inside these models. Yeah. I'm gonna go keep doing the same wrongJeff Huber: thing. Covering sense. I feel like, you know, some creator analogy you're trying like fit a manifold in latent space, which kind is doing break program synthesis, which is kinda one we think about we're doing right.Like, you know, certain [00:31:00] facts might be like sort of overly pitting it. There are certain, you know, sec sectors of latent space and so like plug clean space. Yeah. And, uh, andswyx: so we have a bell, our editor as a bell every time you say that. SoJeff Huber: you have, you have to like remove those, likeswyx: you shoulda a gong like TPN or something.IfJeff Huber: we gong, you either remove those links to like kinda give it the freedom, kind of do what you need to do. So, but yeah. We'll, we'll release more soon. That'sAaron Levie: awesome.Jeff Huber: That'll, that'll be cool.swyx: We're a cerebral podcast that people listen to us and, and sort of think really deep. So yeah, we try to keep it subtle.Okay. We try to keep it.Aaron Levie: Okay, fine.Inside Agent Evalsswyx: Um, you, you guys do, you guys do have EVs, you talked about your, your office thing, but, uh, you've been also promoting APEX agents and complex work. Uh, yeah, whatever you, wherever you wanna take this just Yeah. How youAaron Levie: Apex is, is obviously me, core's, uh, uh, kind of, um, agent eval.We, we supported that by sort of. Opening up some data for them around how we kind of see these, um, data workspaces in, in the, you know, kind of regular economy. So how do lawyers have a workspace? How do investment bankers have a workspace? What kind of data goes into those? And so we, [00:32:00] we partner with them on their, their apex eval.Our own, um, eval is, it's actually relatively straightforward. We have a, a set of, of documents in a, in a range of industries. We give the agent previously did this as a one shot test of just purely the model. And then we just realized we, we need to, based on where everything's going, it's just gotta be more agentic.So now it's a bit more of a test of both our harness and the model. And we have a rubric of a set of things that has to get right and we score it. Um, and you're just seeing, you know, these incredible jumps in almost every single model in its own family of, you know, opus four, um, you know, sonnet four six versus sonnet four five.swyx: Yeah. We have this up on screen.Aaron Levie: Okay, cool. So some, you're seeing it somewhere like. I, I forget the to, it was like 15 point jump, I think on the main, on the overall,swyx: yes.Aaron Levie: And it's just like, you know, these incredible leaps that, that are starting to happen. Um,swyx: and OP doesn't know any, like any, it's completely held out from op.Aaron Levie: This is not in any, there's no public data which has, you know, Ben benefits and this is just a private eval that we [00:33:00] do, and then we just happen to show it to, to the world. Hmm. So you can't, you can't train against it. And I think it's just as representative of. It's obviously reasoning capabilities, what it's doing at, at, you know, kind of test time, compute capabilities, thinking levels, all like the context rot issues.So many interesting, you know, kind of, uh, uh, capabilities that are, that are now improvingswyx: one sector that you have. That's interesting.Industries and Datasetsswyx: Uh, people are roughly familiar with healthcare and legal, but you have public sector in there.Aaron Levie: Yeah.swyx: Uh, what's that? Like, what, what, what is that?Aaron Levie: Yeah, and, and we actually test against, I dunno, maybe 10 industries.We, we end up usually just cutting a few that we think have interesting gains. All extras, won a lot of like government type documents. Um,swyx: what is that? What is it? Government type documents?Aaron Levie: Government filings. Like a taxswyx: return, likeAaron Levie: a probably not tax returns. It would be more of what would go the government be using, uh, as data.So, okay. Um, so think about research that, that type of, of, of data sets. And then we have financial services for things like data rooms and what would be in an investment prospectus. Uhhuh,swyx: that one you can dog food.Aaron Levie: Yeah, exactly. Exactly. Yes. Yes. [00:34:00] So, uh, so we, we run the models, um, in now, you know, more of an agent mode, but, but still with, with kinda limited capacity and just try and see like on a, like, for like basis, what are the improvements?And, and again, we just continue to be blown away by. How, how good these models are getting.swyx: Yeah, I mean, I think every serious AI company needs something like that where like, well, this is the work we do. Here's our company eval. Yeah. And if you don't have it, well, you're not a serious AI company.Aaron Levie: There's two dimensions, right?So there's, there's like, how are the models improving? And so which models should you either recommend a customer use, which one should you adopt? But then every single day, we're making changes to our agents. And you need to knowswyx: if you regressed,Aaron Levie: if you know. Yeah. You know, I've been fully convinced that the whole agent observability and eval space is gonna be a massive space.Um, super excited for what Braintrust is doing, excited for, you know, Lang Smith, all the things. And I think what you're going to, I mean, this is like every enter like literally every enterprise right now. It's like the AI companies are the customers of these tools. Every enterprise will have this. Yeah, you'll just [00:35:00] have to have an eval.Of all of your work and like, we'll, you'll have an eval of your RFP generation, you'll have an eval of your sales material creation. You'll have an eval of your, uh, invoice processing. And, and as you, you know, buy or use new agentic systems, you are gonna need to know like, what's the quality of your, of your pipeline.swyx: Yeah.Aaron Levie: Um, so huge, huge market with agent evals.swyx: Yeah.Building the Agent Teamswyx: And, and you know, I'm gonna shout out your, your team a bit, uh, your CTO, Ben, uh, did a great talk with us last year. Awesome. And he's gonna come back again. Oh, cool. For World's Fair.Aaron Levie: Yep.swyx: Just talk about your team, like brag a little bit. I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there's, there's lots of really smart people at work during all this.Aaron Levie: Biggest shout out, uh, is we have a, we have a couple folks at Dya, uh, Sidarth, uh, that, that kind of run this. They're like a, you know, kind of tag tag team duo on our evals, Ben, our CTO, heavily involved Yasha, head of ai, uh, you know, a bunch of folks. And, um, evals is one part of the story. And then just like the full, you know, kind of AI.An agent team [00:36:00] is, uh, is a, is a pretty, you know, is core to this whole effort. So there's probably, I don't know, like maybe a few dozen people that are like the epicenter. And then you just have like layers and layers of, of kind of concentric circles of okay, then there's a search team that supports them and an infrastructure team that supports them.And it's starting to ripple through the entire company. But there's that kind of core agent team, um, that's a pretty, pretty close, uh, close knit group.swyx: The search team is separate from the infra team.Aaron Levie: I mean, we have like every, every layer of the stack we have to kind of do, except for just pure public cloud.Um, but um, you know, we, we store, I don't even know what our public numbers are in, you know, but like, you can just think about it as like a lot of data is, is stored in box. And so we have, and you have every layer of the, of the stack of, you know, how do you manage the data, the file system, the metadata system, the search system, just all of those components.And then they all are having to understand that now you've got this new customer. Which is the agent, and they've been building for two types of customers in the past. They've been building for users and they've been building for like applications. [00:37:00] And now you've got this new agent user, and it comes in with a difference of it, of property sometimes, like, hey, maybe sometimes we should do embeddings, an embedding based, you know, kind of search versus, you know, your, your typical semantic search.Like, it's just like you have to build the, the capabilities to support all of this. And we're testing stuff, throwing things away, something doesn't work and, and not relevant. It's like just, you know, total chaos. But all of those teams are supporting the agent team that is kind of coming up with its requirements of what, what do we need?swyx: Yeah. No, uh, we just came from, uh, fireside chat where you did, and you, you talked about how you're doing this. It's, it's kind of like an internal startup. Yeah. Within the broader company. The broader company's like 3000 people. Yeah. But you know, there's, there's a, this is a core team of like, well, here's the innovation center.Aaron Levie: Yeah.swyx: And like that every company kind of is run this way.Aaron Levie: Yeah. I wanna be sensitive. I don't call it the innovation center. Yeah. Only because I think everybody has to do innovation. Um, there, there's a part of the, the, the company that is, is sort of do or die for the agent wave.swyx: Yeah.Aaron Levie: And it only happens to be more of my focus simply because it's existential that [00:38:00] we get it right.swyx: Yeah.Aaron Levie: All of the supporting systems are necessary. All of the surrounding adjacent capabilities are necessary. Like the only reason we get to be a platform where you'd run an agent is because we have a security feature or a compliance feature, or a governance feature that, that some team is working on.But that's not gonna be the make or break of, of whether we get agents right. Like that already exists and we need to keep innovating there. I don't know what the right, exact precise number is, but it's not a thousand people and it's not 10 people. There's a number of people that are like the, the kind of like, you know, startup within the company that are the make or break on everything related to AI agents, you know, leveraging our platform and letting you work with your data.And that's where I spend a lot of my time, and Ben and Yosh and Diego and Teri, you know, these are just, you know, people that, that, you know, kind of across the team. Are working.swyx: Yeah. Amazing.Read Write Agent WorkflowsJeff Huber: How do you, how do you think about, I mean, you talked a lot about like kinda read workflows over your box data. Yep.Right. You know, gen search questions, queries, et cetera. But like, what about like, write or like authoring workflows?Aaron Levie: Yes. I've [00:39:00] already probably revealed too much actually now that I think about it. So, um, I've talked about whatever,Jeff Huber: whatever you can.Aaron Levie: Okay. It's just us. It's just us. Yeah. Okay. Of course, of course.So I, I guess I would just, uh, I'll make it a little bit conceptual, uh, because again, I've already, I've already said things that are not even ga but, but we've, we've kinda like danced around it publicly, so I, yeah, yeah. Okay. Just like, hopefully nobody watches this, um, episode. No.swyx: It's tidbits for the Heidi engaged to go figure out like what exactly, um, you know, is, is your sort of line of thinking.Sure. They can connect the dots.Aaron Levie: Yeah. So, so I would say that, that, uh, we, you know, as a, as a place where you have your enterprise content, there's a use case where I want to, you know, have an agent read that data and answer questions for me. And then there's a use case where I want the agent to create something.And use the file system to create something or store off data that it's working on, or be able to have, you know, various files that it's writing to about the work it's doing. So we do see it as a total read write. The harder problem has so far been the read only because, because again, you have that kind of like 10 [00:40:00] million to one ratio problem, whereas rights are a lot of, that's just gonna come from the model and, and we just like, we'll just put it in the file system and kinda use it.So it's a little bit of a technically easier problem, but the only part that's like, not necessarily technically hard, it is just like it's not yet perfected in the state of the ecosystem is, you know, building a beautiful PowerPoint presentation. It's still a hard problem for these models. Like, like we still, you know, like, like these formats are just, we're not built for.They'reswyx: working on it.Aaron Levie: They're, they're working on it. Everybody's working on it.swyx: Every launch is like, well, we do PowerPoint now.Aaron Levie: We're getting, yeah, getting a lot, getting a lot of better each time. But then you'll do this thing where you'll ask the update one slide and all of a sudden, like the fonts will be just like a little bit different, you know, on two of the slides, or it moved, you know, some shape over to the left a little bit.And again, these are the kind of things that, like in code, obviously you could really care about if you really care about, you know, how beautiful is the code, but at the end, user doesn't notice all those problems and file creation, the end user instantly sees it. You're [00:41:00] like, ah, like paragraph three, like, you literally just changed the font on me.Like it's a totally different font and like midway through the document. Mm-hmm. Those are the kind of things that you run into a lot of in the, in the content creation side. So, mm-hmm. We are gonna have native agents. That do all of those things, they'll be powered by the leading kind of models and labs.But the thing that I think is, is probably gonna be a much bigger idea over time is any agent on any system, again, using Box as a file system for its work, and in that kind of scenario, we don't necessarily care what it's putting in the file system. It could put its memory files, it could put its, you know, specification, you know, documents.It could put, you know, whatever its markdown files are, or it could, you know, generate PDFs. It's just like, it's a workspace that is, is sort of sandboxed off for its work. People can collaborate into it, it can share with other people. And, and so we, we were thinking a lot about what's the right, you know, kind of way to, to deliver that at scale.Docs Graphs and Founder Modeswyx: I wanted to come into sort of the sort of AI transformation or AI sort of, uh, operations things. [00:42:00] Um, one of the tweets that you, that you wanted to talk about, this is just me going through your tweets, by the way. Oh, okay. I mean, like, this is, you readAaron Levie: one by one,swyx: you're the, you're the easiest guest to prep for because you, you already have like, this is the, this is what I'm interested in.I'm like, okay, well, areAaron Levie: we gonna get to like, like February, January or something? Where are we in the, in the timelines? How far back are we going?swyx: Can you, can you describe boxes? A set of skills? Right? Like that, that's like, that's like one of the extremes of like, well if you, you just turn everything into a markdown file.Yeah. Then your agent can run your company. Uh, like you just have to write, find the right sequence of words toAaron Levie: Yes.swyx: To do it.Aaron Levie: Sorry, isthatswyx: the question? So I think the question is like, what if we documented everything? Yes. The way that you exactly said like,Aaron Levie: yes.swyx: Um, let's get all the Fortune five hundreds, uh, prepared for agents.Yes. And like, you know, everything's in golden and, and nicely filed away and everything. Yes. What's missing? Like, what's left, right? LikeAaron Levie: Yeah.swyx: You've, you've run your company for a decade. LikeAaron Levie: Yeah. I think the challenge is that, that that information changes a week later. And because something happened in the market for that [00:43:00] customer, or us as a company that now has to go get updated, and so these systems are living and breathing and they have to experience reality and updates to reality, which right now is probably gonna be humans, you know, kinda giving those, giving them the updates.And, you know, there is this piece about context graphs as as, uh, that kinda went very viral. Yeah. And I, I, I was like a, i, I, I thought it was super provocative. I agreed with many parts of it. I disagree with a few parts around. You know, it's not gonna be as easy as as just if we just had the agent traces, then we can finally do that work because there's just like, there's so much more other stuff that that's happening that, that we haven't been able to capture and digitize.And I think they actually represented that in the piece to be clear. But like there's just a lot of work, you know, that that has to, you just can't have only skills files, you know, for your company because it's just gonna be like, there's gonna be a lot of other stuff that happens. Yeah. Change over time.Yeah. Most companies are practically apprenticeships.swyx: Most companies are practically apprenticeships. LikeJeff Huber: every new employee who joins the team, [00:44:00] like you span one to three months. Like ramping them up.Aaron Levie: Yes. AllJeff Huber: that tat knowledgeAaron Levie: isJeff Huber: not written down.Aaron Levie: Yes.Jeff Huber: But like, it would have to be if you wanted to like give it to an Asian.Right. And so like that seems to me like to beAaron Levie: one is I think you're gonna see again a premium on companies that can document this. Mm-hmm. Much. There'll be a huge premium on that because, because you know, can you shorten that three month ramp cycle to a two week ramp cycle? That's an instant productivity gain.Can you re dramatically reduce rework in the organization because you've documented where all the stuff is and where the answers are. Can you make your average employee as good as your 90th percentile employee because you've captured the knowledge that's sort of in the heads of, of those top employees and make that available.So like you can see some very clear productivity benefits. Mm-hmm. If you had a company culture of making sure you know your information was captured, digitized, put in a format that was agent ready and then made available to agents to work with, and then you just, again, have this reality of like add a 10,000 person [00:45:00] company.Mapping that to the, you know, access structure of the company is just a hard problem. Is like, is like, yeah, well, you just, not every piece of information that's digitized can be shared to everybody. And so now you have to organize that in a way that actually works. There was a pretty good piece, um, this, this, uh, this piece called your company as a file is a file system.I, did you see that one?swyx: Nope.Aaron Levie: Uh, yes. You saw it. Yeah. And, and, uh, I actually be curious your thoughts on it. Um, like, like an interesting kind of like, we, we agree with it because, because that's how we see the world and, uh,swyx: okay. We, we have it up on screen. Oh,Aaron Levie: okay. Yeah. But, but it's all about basically like, you know, we've already, we, we, we already organized in this kind of like, you know, permission structure way.Uh, and, and these are the kind of, you know, natural ways that, that agents can now work with data. So it's kind of like this, this, you know, kind of interesting metaphor, but I do think companies will have to start to think about how they start to digitize more, more of that data. What was your take?Jeff Huber: Yeah, I mean, like the company's probably like an acid compliant file system.Aaron Levie: Uh,Jeff Huber: yeah. Which I'm guessing boxes, right? So, yeah. Yes.swyx: Yeah. [00:46:00]Jeff Huber: Which you have a great piece on, but,swyx: uh, yeah. Well, uh, I, I, my, my, my direction is a little bit like, I wanna rewind a little bit to the graph word you said that there, that's a magic trigger word for us. I always ask what's your take on knowledge graphs?Yeah. Uh, ‘cause every, especially at every data database person, I just wanna see what they think. There's been knowledge graphs, hype cycles, and you've seen it all. So.Aaron Levie: Hmm. I actually am not the expert in knowledge graphs, so, so that you might need toswyx: research, you don't need to be an expert. Yeah. I think it's just like, well, how, how seriously do people take it?Yeah. Like, is is, is there a lot of potential in the, in the HOVI?Aaron Levie: Uh, well, can I, can I, uh, understand first if it's, um, is this a loaded question in the sense of are you super pro, super con, super anti medium? Iswyx: see pro, I see pros and cons. Okay. Uh, but I, I think your opinion should be independent of mine.Aaron Levie: Yeah. No, no, totally. Yeah. I just want to see what I'm stepping into.swyx: No, I know. It's a, and it's a huge trigger word for a lot of people out Yeah. In our audience. And they're, they're trying to figure out why is that? Because whyAaron Levie: is this such aswyx: hot item for them? Because a lot of people get graph religion.And they're like, everything's a graph. Of course you have to represent it as a graph. Well, [00:47:00] how do you solve your knowledge? Um, changing over time? Well, it's a graph.Aaron Levie: Yeah.swyx: And, and I think there, there's that line of work and then there's, there's a lot of people who are like, well, you don't need it. And both are right.Aaron Levie: Yeah. And what do the people who say you don't need it, what are theyswyx: arguing for Mark down files. Oh, sure, sure. Simplicity.Aaron Levie: Yeah.swyx: Versus it's, it's structure versus less structure. Right. That's, that's all what it is. I do.Aaron Levie: I think the tricky thing is, um, is, is again, when this gets met with real humans, they're just going to their computer.They're just working with some people on Slack or teams. They're just sharing some data through a collaborative file system and Google Docs or Box or whatever. I certainly like the vision of most, most knowledge graph, you know, kind of futuristic kind of ways of thinking about it. Uh, it's just like, you know, it's 2026.We haven't seen it yet. Kind of play out as as, I mean, I remember. Do you remember the, um, in like, actually I don't, I don't even know how old you guys are, but I'll for, for to show my age. I remember 17 years ago, everybody thought enterprises would just run on [00:48:00] Wikis. Yeah. And, uh, confluence and, and not even, I mean, confluence actually took off for engineering for sure.Like unquestionably. But like, this was like everything would be in the w. And I think based on our, uh, our, uh, general style of, of, of what we were building, like we were just like, I don't know, people just like wanna workspace. They're gonna collaborate with other people.swyx: Exactly. Yeah. So you were, you were anti-knowledge graph.Aaron Levie: Not anti, not anti. Soswyx: not nonAaron Levie: I'm not, I'm not anti. ‘cause I think, I think your search system, I just think these are two systems that probably, but like, I'm, I'm not in any religious war. I don't want to be in anybody's YouTube comments on this. There's not a fight for me.swyx: We, we love YouTube comments. We're, we're, we're get into comments.Aaron Levie: Okay. Uh, but like, but I, I, it's mostly just a virtue of what we built. Yeah. And we just continued down that path. Yeah.swyx: Yeah.Aaron Levie: And, um, and that, that was what we pursued. But I'm not, this is not a, you know, kind of, this is not a, uh, it'sswyx: not existential for you. Great.Aaron Levie: We're happy to plug into somebody else's graph.We're happy to feed data into it. We're happy for [00:49:00] agents to, to talk to multiple systems. Not, not our fight.swyx: Yeah.Aaron Levie: But I need your answer. Yeah. Graphs or nerd Snipes is very effective nerd.swyx: See this is, this is one, one opinion and then I've,Jeff Huber: and I think that the actual graph structure is emergent in the mind of the agent.Ah, in the same way it is in the mind of the human. And that's a more powerful graph ‘cause it actually involved over time.swyx: So don't tell me how to graph. I'll, I'll figure it out myself. Exactly. Okay. All right. AndJeff Huber: what's yours?swyx: I like the, the Wiki approach. Uh, my, I'm actually

For over 30 years, Robin has helped Investment Consultants, Retirement Plan Advisors, and recordkeepers better understand their competition, improve efficiency, elevate client service, and win new business. She began her career as a retirement plan sponsor in healthcare and manufacturing before moving into consulting roles with Deloitte and North Highland, and later serving as Head of Research at Ann Schleck & Co. Following its sale to fi360, she became a Senior Vice President overseeing the Fiduciary Score.In 2018, Robin founded WinMore Plans and relaunched the Practice Management Benchmarking Study for retirement plan advisors. Today, she partners with hundreds of advisory firms nationwide, providing benchmarking, coaching, win/loss analysis, and valuation services to help advisors implement practical growth strategies.In this episode, Eric and Robin Green discuss:Positioning the advisor as a true business partnerCapturing a history of plan accomplishmentsDelivering meaningful financial wellness supportClarifying contracts, data use, and rising expectationsKey Takeaways:Advisors should be treated as strategic partners, not just investment technicians. Committees can formalize this by adding a recurring Strategic Business Discussion as the first agenda item each year. This ensures the retirement plan aligns with the company's broader goals and workforce strategy.An important and very useful deliverable to consider; a concise document that tracks major milestones like fee reductions, vendor changes, and plan design improvements. This goes beyond an annual report by highlighting long-term strategic progress. It strengthens continuity during leadership turnover and supports the advisor's value in RFP situations.In many cases, employers now expect help for participants beyond the retirement plan itself. Advisors should support broader financial wellness, including debt, budgeting, and outside assets. For many participants, this may be their only access to professional financial guidance.Sponsors should review recordkeeper contracts to understand participant outreach and data usage. Decisions about who can contact participants must be intentional and documented. Advisors who provide strategic insight and participant-level impact will stand out in today's higher-expectation environment.“The plan sponsor, I want you to focus on your advisor as your business partner. Ask them, What am I missing? What else should we be doing here? And will you be my strategic business partner, not just tactical investment information?” - Robin GreenConnect with Robin Green:Website: https://winmoreplans.com/ LinkedIn: https://www.linkedin.com/in/robingreen/ Connect with Eric Dyson: Website: https://90northllc.com/Phone: 940-248-4800Email: contact@90northllc.com LinkedIn: https://www.linkedin.com/in/401kguy/ The information and content of this podcast are general in nature and are provided solely for educational and informational purposes. It is believed to be accurate and reliable as of the posting date, but may be subject to change.It is not intended to provide a specific recommendation for any type of product or service discussed in this presentation or to provide any warranties, investment advice, financial advice, tax, plan design, or legal advice (unless otherwise specifically indicated). Please consult your own independent advisor as to any investment, tax, or legal statements made.The specific facts and circumstances of all qualified plans can vary, and the information contained in this podcast may or may not apply to your individual circumstances or to your plan or client plan-specific circumstances.The opinions expressed by guests are not necessarily agreed by, or the same opinions of 90 North Consulting or of Eric Dyson.

¿Estás perdiendo propuestas por “precio”… o por cómo las estás escribiendo?En este episodio me siento con Mariano Paredes, director de Shipley (España) —la escuela y metodología más reconocida del mundo en gestión de propuestas comerciales— para hablar de lo que casi nadie entrena y que define tu win rate: cómo construir propuestas que realmente ganen.Yo hice Shipley hace años y te digo algo: si vendes B2B y estás compitiendo en deals grandes, esto te puede cambiar el juego.Por qué en LatAm y España muchas empresas aún están “30 años atrás” en madurez de propuestas (comparado con mercados anglosajones).La métrica que casi nadie mide (y sin eso, no mejoras): tu win rate de propuestas.La verdad incómoda: muchas organizaciones ganan 1 de cada 3… y lo normal debería estar mucho más arriba cuando hay proceso.El principio clave de Mariano: “Si no hay un antes, no hay un después” (si te llega el RFP sin relación previa, vas tarde).Los errores clásicos que matan propuestas: hablar de “quiénes somos”, desorden, cero enfoque en el cliente, copy difícil de leer, títulos que no venden, y fallas de edición que destruyen confianza.Un framework brutal para ordenar el mensaje: NARIZ → Necesidades / Aspiraciones / Resultados / Implicaciones / Credenciales.El futuro: propuestas con video, WhatsApp, presentaciones y tecnología, pero sin vender humo: prometer solo lo que puedes cumplir.Este episodio es para vendedores, líderes comerciales y equipos que envían propuestas, licitaciones o RFPs y quieren dejar de “participar” y empezar a ganar con consistencia.

We're live and poolside at the close of eTail Palm Springs. This year's conference brought less theory and more proof, from agentic platforms doing actual operational work to the quiet rise of go-to-market tooling among merchants. One thing is clear: AI stopped talking and started shipping. Brian and Phillip break down the sessions, hallway conversations, and briefings that mattered most, and dive into their marathon week of discussions with companies including CommerceIQ, Attentive, Resolve AI, Decile, Modem, and more. The Year AI Stopped Talking and Started Working Key takeaways: Agentic AI is operational now. Platforms like CommerceIQ are replacing FTE-style workflows, running around the clock, and proactively surfacing insights. Context is everything… and most native AI tools don't have it. In-tool AI using synthetic or siloed data is producing unreliable outputs. The winning stack integrates across all data sources. CRM is mainstream; go-to-market tooling is emerging. Merchants are now using tools like Clay, a tool built for B2B sales prospecting, to find creators, influencers, and strategic partners. Clienteling looks different when repurchase cycles are a decade long. Brands like Ernesta (custom rugs) and GHD (hairstyling tools) are rethinking loyalty and relationship-building without the luxury of frequent transactions. "Consolidation is power." Whoever consolidates information, tasks, and systems the best will hold the advantage, both in business and in AI. Quotes: [00:20:15] "The marketing agent is looking for a segmentation issue... high CAC and low LTV. Those are things that, as an organization, you'd have to surface, invest in, create segments, create a dashboard — and then bother to look at." — Phillip [00:37:38] "The job of the RFP responder is the same as the code developer. They become a shepherd and a reviewer rather than a writer." — Brian  [00:48:03] "What do we lose when we eliminate the mundane?" — Brian  [00:51:09] "In the next six months, AI is going to own entire workflows without any human intervention." — George Davis, CMO of Cozy Earth (as quoted by Phillip) In-Show Mentions: Listen to Kristin Flor Perret's episode on Future Commerce Get on the list for our ShopTalk Spring After Party Associated Links: Check out Future Commerce on YouTube Check out Future Commerce Plus for exclusive content and save on merch and print Subscribe to Insiders and The Senses to read more about what we are witnessing in the commerce world Listen to our other episodes of Future Commerce Have any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send a textJoin hosts Ben Kornell and guest host Peter Stiepleman, host of The Imperfect Leader, as they explore AI in schools, screen-time policy, math reform, higher ed disruption, and the future of assessment integrity.✨ Episode Highlights:[00:00:00] Peter Stiepleman on leading with “ed, not tech” when implementing AI in schools[00:06:33] Seattle-area student walkout over ChatGPT access sparks debate on AI in classrooms[00:08:11] 26 states advance phone bans and K–5 screen-time legislation[00:10:59] Khan Academy's failed India rollout shows implementation, not tools, drives impact[00:16:26] Whether global systems may leapfrog the U.S. in AI-powered education[00:18:38] AI-supported speech therapy and reading intervention free educators for human connection[00:20:55] Utah's math overhaul ignites debate over data science, calculus acceleration, and rigor[00:27:24] Rural districts innovate through regional collaboration and expanded course access[00:29:14] Higher ed faces declining endowments, enrollment pressure, and early college expansion[00:35:09] Anthropic co-founder argues AI will increase the value of humanities degreesPlus, special guest:[00:39:10] Brandon Smith, CEO of Integrity Advocate, on AI-driven cheating, proctoring reform, and protecting assessment integrity

#333 | Dave is joined by Clare Schmitt, a seasoned marketing leader and a member of our CMO community, to walk through what it actually takes to lead a rebrand at a mid-market B2B company. Clare shares how she partnered with her CEO to drive a full rebrand, from hiring a naming agency and running an RFP, to managing a small decision-making council, rolling out the new brand across every department, and measuring success post-launch. If you're a marketing leader thinking about a rebrand, this episode is a practical, top to bottom playbook from someone who just did it.Timestamps(00:00) - Why rebrands come up and what this episode covers (03:01) - Clare's role at Piedmont Global and how the rebrand got started (05:16) - Should you hire a naming agency? What it costs and what they actually do (08:44) - Running an RFP and why they chose Focus Lab (09:30) - Why the CEO has to own the rebrand go-to-market (11:06) - Keeping the decision-making council small and who was in it (18:24) - How to get CEO buy-in: framing a rebrand as infrastructure, not a marketing initiative (21:01) - Timeline: how long a rebrand actually takes ($50M+ companies) (22:43) - The rollout: project management, execution, and building the website internally (24:40) - Measurement, post-launch QA, and tracking whether your narrative is sticking Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Knak - A no-code, campaign creation platform that lets you go from idea to on-brand email and landing pages in minutes, using AI where it actually matters. Learn more at knak.com/exitfive.Optimizely - An AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive (PS - you'll get a FREE pair of Meta Ray Bans if you do). Customer.io - An AI powered customer engagement platform that help marketers turn first-party data into engaging customer experiences across email, SMS, and push. Learn more at customer.io/exitfive.  ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

Meta sent out a request for product (RFP) to third-party firms to help administer stablecoin-based payments, according to sources. Stripe, which acquired stablecoin firm Bridge last year, was mentioned by one source as a likely candidate for piloting Meta's stablecoin.Guest: Evan Cheng, Co-founder & CEO at Mysten Labs ~This episode is sponsored by Sui~Sui delivers the benefits of Web3 with the ease of Web2 - Visit ➜ https://bit.ly/SuiWebsite00:00 intro00:08 Sui One Year Later00:38 Meta Launching Stablecoin Again01:15 Stripe Acquiring PayPal?02:02 Meta Neighbors?02:24 Stripe's L1 Blockchain04:00 Meta Cash Size05:58 Transaction Volume Potential06:24 Sui Ad Tech Stack07:39 Apple Losing 30% of Meta Revenue08:30 Mark Zuckerberg Scheming?09:12 Stripe CEO: "We're only focusing on commerce"10:43 Commerce vs Defi Focus11:56 High Throughput Upgrades12:53 Zero AI Agent Fees15:08 First Agentic Bank on Sui16:50 eSui Dollar Vaults vs Kai Vaults18:04 Sui RWA Incoming19:24 LIGHTNING ROUND Qs27:13 outro#Sui #Meta #Crypto~Meta Launching Stablecoin!

This week on Pioneers and Pathfinders, we're pleased to welcome back Basha Rubin, CEO and co-founder of Priori. It's been about four years since Basha last joined us, and in that time, Priori has gone through a remarkable transformation. What began as a marketplace connecting clients with flexible legal talent and boutique firms has evolved into a robust platform with innovative RFP and panel management tools that help organizations better manage, evaluate, and leverage their outside counsel relationships. In our conversation, Basha reflects on more than a decade of building and leading a legal tech company. She shares insights on scaling a business, evolving a product in a fast-changing market, and navigating the growing complexity of legal data. We also talk about how Priori is preparing for the next wave of technology shaping the legal industry, and she gives us a look into her work with the Yale Law School fund board. It was great catching up with Basha, and we hope you enjoy listening to the conversation. Read the full transcript of today's episode here: https://www.seyfarth.com/dir_docs/podcast_transcripts/Pioneers_Basha-Rubin-Returns.pdf

On Monday night, the city of Coquitlam rezoned a property on Brunette Ave with the purpose for issuing an RFP for a non-profit to come forward and build non-market housing. But the province has put a pause on applications to the Community Housing Fund - which puts this project in jeopardy. Guest: Matt Djonlic - Coquitlam City Councillor Learn more about your ad choices. Visit megaphone.fm/adchoices

Series 5 – Episode 6 Hosts: Renee Chiuchiarelli & Julie Parks (Hammer & Heels) Length: ~12 minutes Format: Simply Trade Tips Episode Summary In this final installment of the Trade & Tech series, Renee and Julie deliver what many listeners have been asking for:

LSI's own Josh Johnson discusses the difference between the RFP and the RFI, which is also known as "sources sought". He explains how to capitalize on the opportunity that an RFI presents and answers some common questions on the process here. Bottom line: is it worth your time to respond to an RFI?

Welcome back to WithSONAR! In this episode we're breaking down the key freight market indicators you should be watching to confidently back your pricing and bid decisions. SONAR Page: https://sonar.surf/sharepage/351f3340-e6d7-4f2c-a4a0-aa086ed14c0f As we move deeper into bid season, understanding both demand and capacity signals is critical. In this webinar, we cover:

Welcome back to WithSONAR! In this episode we're breaking down the key freight market indicators you should be watching to confidently back your pricing and bid decisions. SONAR Page: https://sonar.surf/sharepage/351f3340-e6d7-4f2c-a4a0-aa086ed14c0f As we move deeper into bid season, understanding both demand and capacity signals is critical. In this webinar, we cover:

Live from Go West Live in Edmonton, this episode of Events: Demystified unpacks what happens when an industry event is designed with intention instead of habit.Joined by Arthur Kerekes and Evan Babins, we break down:Why this 600-person conference felt more alive than many large-scale industry shows• The RFP compensation problem and the creative labor conversation no one wants to have• How thoughtful programming eliminates attendee burnout• What makes a trade show floor feel like a retail experience instead of a fluorescent maze• Why people, not production budgets, ultimately define event successWe also explore how schedule design, entertainment integration, food experience, and speaker selection can shift an event from transactional to meaningful.If you plan events, speak at events, sponsor events, or attend them, this conversation will challenge how you think about experience design, energy management, and where the industry should go next.Recorded live at Go West Live. Real reactions. Real noise. Real insights.00:00 Live from Go West Live: Why This Conference Feels Different01:47 Meet the Guests: Arthur's AI Activations & First-Time Go West Impressions03:04 Evan's Speaker Lineup + Arthur's Interactive Game Show Reveal05:46 Industry ‘Dirty Secrets': RFPs, Creative Work & Fair Compensation08:19 What Go West Gets Right: Fresh Speakers, Short Keynotes & Smart Agenda Design09:47 No Competing Sessions (Mostly): Programming Wins + Tech to Beat Breakout FOMO12:22 Networking Across Canada: New Connections, Canadian Hospitality & Value14:34 The Vibe Factor: Food Everywhere and a Retail-Style Trade Show Floor16:21 AV Production That Actually Delivers (No Extra Gear Needed)17:31 Design + Trade Show Energy Spills Into Social Events17:55 Instagrammable Activations & Surprisingly Great Food19:15 Small-Conference Feel: Community, Care, and Real Connections20:32 Entertainment That Feels Intentional (Not Slapped On)22:10 Sustainability-Focused Venue & Navigating the Multi-Level Layout23:51 Wrap-Up Hot Takes: Trade Show Vibe, People, and Wellness-Friendly Scheduling28:39 What Could Improve: Speaker App Tools, Rotating Cities, and US Marketing32:19 Where to Connect + Final Thanks and Sign-Off

https://ltcrfp.com/book-appointmentChoosing the right LTC pharmacy affects costs and care quality. Learn how an RFP process helps nursing homes negotiate better contracts and cut expenses. LTCRFP City: Vestal Address: 117 Rano Blvd Website: https://ltcrfp.com Email: assist@ltcrfp.com

Finding a lawyer should not feel harder than solving the legal problem itself. And yet, here we are. In this episode, Meghan and I talk about something that comes up constantly in my nonprofit law practice: how nonprofit leaders and boards actually find a good lawyer and how to tell whether someone is the right fit. Real Listener Question: "I am a board member tasked with finding my small nonprofit a lawyer. I am trying to collect five options for the board to review and have the board interview each lawyer. I've prepared an RFP to get information from as many firms as possible. Is there anything else I'm supposed to do to make sure we did a fair search?" We dig into why hiring a lawyer is not the same as hiring other vendors and why an RFP is often the wrong tool for the job. We talk about common misconceptions nonprofits have about fairness, pricing, and process, and why trying to copy large institutions can backfire for smaller organizations. This conversation also pulls back the curtain on how lawyers actually work, what red flags to watch for, and how to avoid overcomplicating a decision that already feels overwhelming. What You'll Learn: How nonprofits typically find lawyers Why RFPs usually do not work for legal services What legal expertise actually looks like How pricing structures should be discussed Warning signs early in the relationship Why "cheapest" is not always best How to trust your gut while doing due diligence Bottom line: Hiring a lawyer does not require a perfect process. It requires clarity, trust, and a focus on finding someone who understands your nonprofit and can actually help you. Resources from this Episode Previous Episode: How Classy May Be Hurting Your Donor Relationships: https://birkenlaw.com/charity-therapy-podcast/ct157-classy-donor-acknowledgement/ Episode Transcript: https://birkenlaw.com/wp-content/uploads/2026/01/CT158_Transcript.pdf Connect with Us Jess Birken: https://www.linkedin.com/in/jessbirken/ Meghan Heitkamp: https://www.linkedin.com/in/meghan-heitkamp-829254115/ Listen & Engage Listen on Apple Podcasts | Spotify | YouTube | Amazon Music Rate & Review on Apple Podcasts: Click "Ratings and Reviews" then "Write a Review" Send us your nonprofit questions: https://birkenlaw.com/podcast/#podcast-story Stay Connected Sign up for the Birken Law Email list: https://birkenlaw.com/signup/   Follow us on Facebook, Instagram, Twitter

Send a textPriyank Chodisetti is the Co-founder and CEO of Workback.ai, an AI-powered platform helping edtech organizations achieve accessibility compliance faster and at scale. A repeat founder and former engineering leader at Coursera, Priyank brings firsthand experience navigating the complexity of WCAG standards and ADA requirements.

We sit down with Houston County Fire Chief and EMA Director Christopher Stoner to unpack the Houston County's move from CodeRED to Houston Alerts/Perry Alerts, and how smarter technology makes Perry and Houston County safer while cutting the noise.We walk through the RFP that led to Rave, the benefits of pairing with existing Motorola systems, and why usability is a lifesaver when you need to launch an alert from the field. Chief Stoner explains how precise geofencing lets teams draw a polygon around an affected neighborhood for a hazmat incident, tornado warning, or boil water advisory, so people outside the area aren't jolted awake.  You'll learn how re-registering modernized an outdated database and put residents in full control of the information they receive, including emergency weather, public safety alerts, trash delays, water service updates, and community events, as well as how they receive it, whether by call, text, email, push notification, or Alexa. We cover Smart911 privacy safeguards, what data is useful for first responders, and how local caller IDs and familiar emails help people trust the messages they receive. Most importantly, we make a case for why local alerts beat generic weather apps: polygon-level accuracy for your address, not countywide alarms that don't apply to your block.Ready to tailor your notifications? Sign up through houstoncountyga.gov or the City of Perry website, choose only the updates you want, and set how and when you want to be reached. If you need help, call 478-542-2026 and the EMA team will guide you. If this conversation helped, subscribe, share with a neighbor, and leave a quick review so more Perry residents can get informed faster.If you like Inside Perry - subscribe and share the podcast with friends and family. The podcast is available on all major podcast platforms.Visit us at perry-ga.gov. We hope to see you around in our amazing community...Where Georgia Comes Together.

Tender rejections just jumped, rates are wobbling instead of sliding, and the market is starting to look less like “winter lull” and more like a reset. On this week's episode of Transfix Take, host Jenni Ruiz sits down with Justin Maze (NFI Industries) to break down what's driving the sudden capacity squeeze, what it means for RFP season, and where pricing is likely to land as we head into late February. In this episode, we cover: • Why tender rejections climbed to ~14% and what's behind the tightening (including high-visibility enforcement and safety actions that can take capacity off the road) • The current national average linehaul sitting around $2.10/mile (lengths of haul 200+ miles), plus the added pressure of rising fuel • Fresh retail spending signals and what they could mean for inventory strategy and freight demand • A weather watch shift to the West Coast, as California storms bring flooding, mudslides, and pass closures risk • Regional rate moves and where volatility is cooling vs. lingering Plus: we “dust off the crystal ball” to talk where tender rejections may head next week as negotiations and new rates get set for the 2026 baseline. Subscribe for weekly market updates, and if you're in the thick of RFPs right now, this one's your mid-Feb pulse check. -- Disclaimer: All views and opinions expressed in this podcast are those of the speakers and do not necessarily reflect the views or positions of Transfix, Inc. or any parent companies or affiliates or the companies with which the participants are affiliated, and may have been previously disseminated by them. The views and opinions expressed in this podcast are based upon information considered reliable, but neither Transfix, Inc. nor its affiliates, nor the companies with which such participants are affiliated, warrant its completeness or accuracy, and it should not be relied upon as such. All such views and opinions are subject to change.

With Delbert Singleton Jr. and Stacy Adams, we dive into South Carolina's competitive negotiations model—a source selection method designed for high-stakes buys like ERP, digital services, and cloud—where the team establishes a competitive range and negotiates in parallel with multiple finalists. By moving beyond apples-to-apples checklists, we explore how trade‑offs, enhancements, and smarter risk allocation can surface more value than a traditional RFP ever could.We walk through the full arc: building an acquisition team, doing real market research, crafting a different kind of solicitation, and running an initial evaluation that focuses on capability and value potential. Then comes the critical shift—setting a tight competitive range (often three), negotiating detailed terms with each finalist, and conducting a second, final evaluation on the negotiated contracts. You'll hear why suppliers appreciate the chance to clarify issues and propose better solutions, how the process remains transparent and criteria-led, and where a selection executive provides oversight to catch bias and keep the record defensible.Along the way, we talk code changes, protest realities, and the kinds of outcomes this method unlocks: lower risk, better terms, and modern functionality that evolves as fast as the market. We also reflect on the human side of procurement—from museum exhibits that communities can touch to emergency logistics that keep people safe—showing why process integrity and public impact go hand in hand.If you care about getting complex procurements right, hit play and join the conversation. Subscribe, share with a colleague who handles major acquisitions, and leave a review with your biggest procurement challenge—we may tackle it next.Follow & subscribe to stay up-to-date on NASPO!naspo.org | Pulse Blog | LinkedIn | Youtube | Facebook

Send a textDr. Kathy Weston is one of the leading national experts on parenting, family life and parental engagement in children's lives. In 2018, she established Tooled Up Education, a holistic bank of evidence-based resources for whole-school communities. Tooled Up supports 166 schools in 8 countries, delivering bespoke CPD for educators as well as 'on tap' resource support for parents.

Send a textJoin hosts Alex Sarlin and Ben Kornell as they unpack a fast-moving week in education. From AI-native curriculum battles and literacy leadership shifts to voucher surges and national AI pilots reshaping special education. ✨ Episode Highlights:[00:01:48] ASU+GSV preview and the expanding global EdTech ecosystem[00:06:25] The 2026 EdTech AI Map launches with 240+ companies[00:07:14] Brisk introduces AI-powered curriculum integration[00:09:04] The race to own the AI layer in schools[00:13:10] Data ownership becomes the key AI battleground[00:16:59] Kira 2.0 expands into a full AI-native LMS[00:21:16] Texas ESA applications surge past 61,000[00:30:20] UK launches $23M AI pilot for special needs[00:33:40] Microsoft invests in AI teacher training[00:34:59] Google expands Gemini in education[00:35:57] UX emerges as EdTech's new advantage[00:36:43] The AI grad profile prioritizes human skills Plus, special guests:[00:38:33] Karl Rectanus, CEO of Really Great Reading, on literacy outcomes, science of reading implementation, and scaling impact [01:02:22] Dan Meyer, VP of User Growth of Amplify on AI skepticism, social AI in math classrooms, and keeping learning human-centered

What matters after decades of building, losing, and rebuilding?In this episode of KP Unpacked, KP Reddy turns 55, and Nick uses the milestone for a lightning round conversation exploring career highs, crushing losses, and the philosophy that's shaped three decades of entrepreneurship. From living in a truck eating 19-cent tuna to running a VC fund, KP reflects on the moments that actually stuck and why they weren't the trophy wins.The conversation moves between tactical and existential. KP explains how Claude Cowork is now his nurse practitioner (drafting insurance appeals, scheduling appointments, analyzing x-rays), why he runs four Mac Studios doing different jobs while he unpacks office furniture, and why the future of CRM is taking people to lunch instead of data entry. But the deeper thread is about identity: why his worst fear (going back to zero) doesn't actually scare him, why his family has more confidence in him than he has in himself, and why the 2008 financial crisis validated the self-doubt that still drives him today.Key topics covered:Why KP spent his 55th birthday at the DMV after his assistant cleared his calendar without askingHow Claude became his healthcare coordinator and delivered better emotional support than his momThe blank slate moment after his first exit paying off the house and feeling peace, not accomplishmentLiving in a truck with sleeves of tuna and stolen mayo packets and why going back doesn't scare himThe 2008 crisis, personal guarantees, and why losing everything validated his lack of confidenceWhy "celebrating small wins" is for people not building unicorns assume wins, magnify lossesVibe working: running four Mac Studios with Claude Cowork while doing manual labor he actually wants to doWhy relationship-driven CRM beats software: take engineers to lunch after RFP meetings, not Salesforce data entryThe manager vs. maker schedule and why KP operates at sprint speed with no please-and-thank-yousMorning meditation as leadership: visualizing every founder and team member's context before the workdayWhy one founder said "I can feel when you're praying for me" and what that reveals about leading mission-driven teamsThe 10-year goal isn't three private jets, it's building community where all LPs are former founders who exited and came backIf you're navigating what success looks like after the wins, trying to lead without micromanaging while operating at full speed, or wondering whether your worst-case scenario is actually that bad, this episode will reframe how you think about ambition, fear, and what matters most.Listen now.BuildingWorks & Brookwood Sponsors

This week on ASUG Talks, Geoff Scott, ASUG CEO & Chief Community Champion, sits down with the new SAP North America President, David Robinson. During their conversation, the two dive into David's background, responsibilities, and thoughts about IT innovation within the North American customer base. Key HighlightsHow David is working to help customer obtain--and maintain--a "persistent innovation state" The ways AI is reshaping ERP softwareHow software evaluation and purchasing are moving beyond RFP-driven processesFrom the ASUG CommunityRead ASUG editorial's FAQ on compatibility packs and the upcoming May expiration dateDive into new ASUG research focused on SAP Business Technology Platform (BTP) adoption

In this episode of the Federal Help Center Podcast, Ryan Atencio shares his experience as someone who has worked both sides of the table — first as a government customer developing performance work statements, cost estimates, and source selections for tens of millions of dollars in contracts, and later as a contractor selling directly to Special Operations units after leaving the military in 2021. He shares how capturing end-user requirements and building custom "kits" can create a powerful edge that competitors can't easily match. The conversation then goes behind the curtain into the world of Special Operations professional service contracts, including highly specialized SERE (Survive, Evade, Resist, Escape) training support. You will get a rare look at how opportunities are found live on SAM.gov, shaped through source sought responses, and "shredded" quickly using AI tools like Gemini to extract the who/what/why before competition even wakes up. This is a masterclass in modern capture strategy for serious federal contractors. Key Takeaways: Winning starts before the RFP — source sought responses help shape the requirement early Contractors who understand the "customer side" gain a major advantage in DoD procurement AI shredding tools can accelerate bid/no-bid decisions and opportunity analysis in minutes If you want to learn more about the community and to join the webinars go to: https://federalhelpcenter.com/  Website: https://govcongiants.org/  Connect with Encore Funding: http://govcongiants.org/funding

In a podcast recorded at ITEXPO / MSP EXPO, Doug Green, Publisher of Technology Reseller News, spoke with Gregory Tellone, CEO of Cloud IBR, about simplifying disaster recovery (DR) testing and turning recoverability into a practical, recurring revenue opportunity for MSPs. Cloud IBR is a SaaS platform designed for organizations using Veeam backups. With a single click, the system provisions dedicated bare-metal cloud servers, installs operating systems, restores encrypted backup repositories, configures networking, VPN access, firewalls, and hands off a fully operational environment for either a live disaster or a scheduled recovery test. “Most backup products are great at backup,” Tellone explained. “The problem is knowing whether your backups are actually good and being able to test recovery easily.” The platform addresses a longstanding gap in the SMB market: the complexity and cost of maintaining secondary DR sites and conducting realistic recovery testing. Traditional DR requires duplicate infrastructure, bandwidth, replication management, and ongoing maintenance—often making full testing impractical. Cloud IBR automates that entire process in approximately 20 minutes of onboarding time, enabling monthly recovery testing by default and generating detailed PDF reports documenting every recovered server and recovery time objective (RTO). For MSPs, the opportunity is strategic. Starting at $299 per month, the service provides a low-barrier entry point into customer accounts while strengthening trust and expanding monthly recurring revenue. Tellone described it as a relationship builder: “It's always easier to sell to a customer than to a prospect. You start with something simple that works, and from there you grow.” With automated reporting suitable for cyber insurance applications and RFP responses, Cloud IBR transforms disaster recovery from a checkbox exercise into a demonstrable operational advantage. Visit https://cloudibr.com/

In this episode, Zach Golden walks through one of the most critical skills in federal contracting: making fast, confident bid/no-bid decisions before you waste weeks chasing the wrong opportunity. Using OpnGovIQ, Zach shows how contractors can decode an RFP in under five minutes, identify hidden requirements, and immediately spot what could prevent them from winning — especially in complex VA janitorial and medical-adjacent contracts. Zach also explains how this rapid breakdown process scales across industries, allowing contractors to review 6+ projects in a single session, plan months ahead during capture, and highlight red flags early (like hospital experience, medical waste handling, or compliance gaps). The goal is simple: move faster than competitors, avoid disqualification, and build a repeatable proposal engine that wins. Key Takeaways: OpnGovIQ helps contractors break down RFPs in 3–5 minutes for faster bid/no-bid decisions The biggest proposal killers are usually disqualifiers like missing hospital experience or compliance gaps Reviewing multiple opportunities weekly builds a pipeline — winning starts before the RFP drops If you want to learn more about the community and to join the webinars go to: https://federalhelpcenter.com/  Website: https://govcongiants.org/  Connect with Encore Funding: http://govcongiants.org/funding

"Now with agentic AI, RFPs are becoming and will become even leaner, and they'll cut to the chase a whole lot faster. There'll be a lot less fluff." - Barri Horn, Director of Product Marketing for AI for SAP Ariba and SAP Fieldglass' strategic procurement portfolios AI is reshaping the RFP process, but smart procurement leaders know they have to think beyond speed or efficiency drivers and, instead, reimagine the value they deliver. As teams turn to AI to break free from past challenges, the question isn't if change is coming, but how to capture its advantages while managing risk, trust, and adoption. In this episode, Philip Ideson speaks with Barri Horn, Director of Product Marketing for AI for SAP Ariba and SAP Fieldglass' strategic procurement portfolios, to dig into what's truly changing in the world of RFPs, why agentic AI is different from yesterday's tools, and how procurement can use new technology without losing stakeholder trust.  Expect practical, leader-level guidance for running better RFPs and rolling out AI that sticks. Barri discusses workflows, pitfalls, and organizational mindsets that separate successful AI adoption from failed pilots: How to streamline repetitive RFP tasks with AI so teams can focus on insight Asking smarter, market-driven questions without overwhelming suppliers Aligning AI "autonomy" with procurement's risk comfort level Building trust and credibility through transparency and foundational training Resetting and rebooting change programs to support adoption Links: Barri Horn on LinkedIn Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube  

Tim Martinez, Value Creation, Strategic, and Exit & Succession Planning Advisor—also known as “The Inside Man”—is on a mission to empower entrepreneurs and make the world a better place with his philosophy of “No entrepreneur left behind.”  In this episode, Tim shares how he evolved from starting small businesses as a teenager to advising founders on high-stakes growth and exit decisions. We explore Tim's 3 Exits Framework, which breaks exit planning into three critical phases: Mental Exit (separating identity from the business), Role Exit (building leadership and succession so the business can run without the owner), and Technical Exit (valuation, deal structure, and the formal sale process). Tim also explains why AI is accelerating business disruption, why minimalism is a competitive advantage, and what keeps so many businesses stuck at the $3M revenue ceiling. — 3 Ways to Exit Your Business with Tim Martinez Good day, dear listeners. Steve Preda here, the Founder of the Summit OS Group. And I have as my guest today Tim Martinez, who is a Value Creation, Strategic, and Exit & Succession Planning Advisor, also known as “The Inside Man.” Tim also has a successful Substack with lots of followers, which has a similar title, Inside Man. He's also built his own ChatGPT API, so he's running with the times. Tim, welcome to the show.  Thanks, Steve. Great to be here.  Finally, we have someone who is ahead of the curve on AI and the technological evolution that's part of this new industry revolution. So let’s start with my favorite question. What is your personal ‘Why’ and how are you manifesting it in your practice and in your business?  Yeah. My personal ‘Why’ is to make the world a better place and to empower entrepreneurs. “No entrepreneur left behind” has kind of been my motto. Since I was a kid—I started businesses very young, like 15 or 16—people would ask me, “How are you doing this?” And I would help however I could. And it was just always felt really good to help my fellow entrepreneurs, whether I was helping them in a small way or a big way. And there's nothing better than seeing some of the advice you're able to give someone actually get implemented.Share on X Then you see them go, “Wow, oh my gosh, this is great.” And again, sometimes it’s small, sometimes it’s big. But I believe entrepreneurs rule the world, and I do my part every day—whether it's writing my Substack, jumping on podcasts, or writing books. I'm always here just to share what I've learned, because I think that’s what makes the world go round.  Well, you have a boundless energy, because you are writing books, you are writing your blog, you are doing these podcasts. Then you also have to gather the information, right? You have to work with clients—otherwise there's no raw material. That is very impressive. So what took you to this point? How did you evolve? I mean, you started at 15, but surely you were not coaching or consulting people at 15.  Yeah, so I probably spent about 10 years just starting small businesses. I had the lemonade stand, then a coffee business and a silk-screen business. I had a DJ business, a retail store, a marketing and advertising agency, a small one, but I was able to sell it. And I got lucky and sold a couple of these small businesses. I built websites, built apps—I mean, anything you can do to make a buck. I was just kind of hustling and figuring it out on my own. And at a certain point in time, maybe like 10 years later, someone asked me to help them write their business plan. It was the first time I thought, “Huh, someone wants to pay me to help them write a business plan. That sounds interesting.” Okay. And I had written all of my own business plans for 10 years. I used to go to SCORE—the Senior Corps of Retired Executives, a division of the SBA—and they would consult for free. They still do, by the way. And I always said my long-term goal was to be an old advisor at SCORE, because they helped me so much when I was a kid.Share on X So I charged money for my first business plan. That person was able to raise money from their uncle. Then they said, “Well, hey, we got this money. What do we do now?” So I said, “Well, I think I can charge you. I think this is called consulting. Maybe I'll just charge you to help execute your business plan.” It was a small business, and I went to Barnes & Noble and bought a book that was like this big—How to Start a Consulting Business. I just sat there and highlighted the whole thing. It had CD-ROM forms in the back. I knew nothing about consulting. And probably for the next handful of years, I just focused on writing business plans and helping people. That's kind of what got me into consulting and working with bigger businesses. It really started with business plans and small businesses.Share on X  Yeah. I mean, business plans are great because you are envisioning the future of the business, crunching the numbers—what's going to happen with your top line, bottom line, costs, overhead, margins—and essentially it helps you visualize the skeleton of the business. Then you can put the meat on the bone, kind of thing.  Yeah. And I had worked on hundreds of business plans, and  pitch decks, financial models, and market research. That documentation aspect of a business, I had spent a good, let's say, 10 years working very heavily with clients as an analyst in consulting firms. And that’s really what got me into the game and got me into bigger and bigger businesses, because I got very good at doing that with no formal training—and we didn't really have what the internet is today. I remember going to the downtown library in Los Angeles, finding articles, and taking scanned copies of them. That’s how we did our market research. And business plans used to be like a dictionary. The SBA would require business plans to meet all these requirements, so we ended up with huge business plans. Now people want a one-pager, maybe a 10-slide deck, and call it a day. Where I got my chops was from understanding every imaginable nuance of every business in all verticals. I worked around the world with businesses, and I guess I was in the right place at the right time for it.Share on X  Yeah, that’s very humble. So one of the things that you do is you help people prepare for exit, and you came up with this framework called The 3 Exits Framework. I thought it was fascinating to think about exits from different perspectives and to have different mental models for them. How did you come up with this, and can you explain to the audience what it looks like, how it works, and how it helps entrepreneurs? Yeah. And it’s important to note that I started my career starting businesses, helping people get the start. And as I got older, the businesses I worked with were also getting older. And as I got a little more gray hair and a few more wrinkles, people would take me more seriously at the later stages of the business, when they maybe wouldn’t take me so seriously when I was in my early twenties. So my business had evolved from starting to growing and then eventually to exiting, and that’s where most of my clients are now. What I’ve discovered is most people enter the exit planning conversation at the very end, asking, “What is my business worth? Who wants to buy it?” Needing a business valuation is the most common first question: “Whoa, what's it worth?” But after working with a handful of companies through this whole exit process, you start to realize that there’s far more than just the numbers. The 3 Exits Framework says there are three exits that need to occur before you're out and on your yacht, sailing into the sunset.Share on X The first exit is the mental exit, which we can talk about at length. It's your role—your identity in the business. Who am I if I'm not the CEO? What am I going to do with my time if I'm not running this business? Who am I if people can't come to me with their every burning question? It’s this piece, it’s so important. And a lot of people don’t want to give up control. They don’t even know they’re control freaks, which I'll call them for lack of a better term. But they don’t even know that they are that. You have to help them through that.  The second exit is really your role exit, because eventually someone needs to run this business in your absence. The whole tenant of selling a business is that you're not going to be in it. You might have earnouts or some transitional involvement, but eventually, you will not run this business. So you have to replicate yourself. Most people say, “I've tried, but it hasn't worked.” Well, you know what? Now’s the time for this to work. It's time to build SOPs, standards of excellence, and get someone who could be better than you ever were in that seat. So that role exit is a big part, and that would be true succession. The other part of that is it’s not just the CEO or the owner. A lot of times it’s them and they’re number one, or they’re number two, or number three, because in many cases those people also have equity and ownership in the companies in some cases. So we need to get succession in line for multiple roles.  And then the third exit is your technical exit. It’s the one piece everyone feels like they start with that is your valuation, getting your documentation together, running a formal auction process, making sure that you’re looking at multiple buyers, whether strategic or financial. And just running a very thorough, formal process that’s going to get you the highest valuation possible. And structuring a deal that there’s going to be a little bit of give and take. Most deals die because of misaligned expectations. And they’re usually misaligned expectations on that final exit. So when you put those three things together and someone says, I want to sell my business, or we're thinking about exiting in the next couple years, I just start first with the identity part.Share on X Yeah. And people underestimate the significance of that. It can sound touchy-feely and like an afterthought in most cases. And people think that just by earning a sack of money, their life will be solved and all problems will disappear. But actually, problems exist at all levels. Elon Musk probably has more problems than most listeners here.  Sure.  So, it's not going to solve your problems, and identity is huge. I talk to people—I was also an M&A advisor for over 10 years, sold many businesses, visited former clients, and went out on their boats on the lake. Often, that was the one time they actually used the boat, because they didn't really need it. They thought they did, but they didn't. Next time, the engine wouldn't start, or the boat was full of water. Or they'd go out on the golf course, meet new people, and ask, “Who are they?” It turned out they were just retired rich people—not interesting entrepreneurs or CEO. That's a huge change. And with the Great Wealth Transfer and the aging Baby Boomer population, there's a statistic that says 50% of business owners are forced into an exit—meaning there’s some life event that occurs that says you now need to sell your business and get out. And you and I both know that if you’re forced to an exit, you’re going to be taking a major discount. But those forces can happen when you have a heart attack, or someone in your family has a health issue, or your grandkids and everybody moves multiple states and you want to go with them. All these things happen. So our recommendation is just start having the conversation now.  Yeah. And so I think it's a little bit like saving for retirement. A lot of people keep putting it off, and eventually there's no time left to do it, and then they’re in trouble. So how do you even raise awareness with people about this? How do you work with them to prepare this? Can you actually raise awareness and make them feel this is a real issue? How do you raise awareness?  Well, I have my blog, and that’s probably where I do most of my conversations. I wrote about the 3 Exits Framework. Any chance I get to speak, I always use it to raise awareness around the subject. In my consulting practice, I work with a handful of consulting firms and investment banks. Anytime I get pulled into a conversation about exit planning, I usually just pause for a second and just talk about their life goals.Share on X Like, what do you really want this exit to do for you? Because there are so many things you can do and a million ways to do it. So, what do you really want this exit to mean for you? Also, remember, Uncle Sam is going to take his cut—so not everyone gets the biggest check possible. Usually, what we hear is people say, “I'm just so exhausted. I don't have anything left in me for this thing, and anything I can get for it, I'd be happy to take, as long as it means I don't have to put out every single fire.” And this usually happens because they didn't build good systems to remove themselves from the business.  Otherwise, they would've been the chairman, and just meeting with their CEO, who's running the business. That’s usually not the case with these owner-operator businesses. And that doesn't mean they're small, by the way. I mean, they could be running a $50 million business and still the choke point where everything has to run through them and they’re just exhausted and burnt out.  Do you think that this AI revolution is going to change things? Is it going to make more people exit-ready because it's easier to create systems?  Perhaps. Yeah, I think it's helping the service provider world be more efficient. In my world as a management consultant, I'm 10 times more efficient. I’m sure you’re 10 times more efficient with tools like the one we’re using here, and it just helps us speed things up. I've noticed people use it as a thought partner, as a psychiatrist, even as a best friend. I've seen people go into deep dialogue like, “Should I sell my business? Give me five factors.” The ones who are aware of this are using it fully. The people who aren't are a little behind the times. And then from an operational standpoint, yeah, I mean with the bots and all the many things you could put in your business to make you more efficient, but that doesn’t apply to everybody. I would say there’s going to be a 10 to 20% group of people that are already on it, making it work for them, and then there are the laggards who will probably never touch it.  Or is it that—okay, maybe we can be more efficient with AI, but we'll have the appetite to do more, and there will be more complexity? Some things we'll simplify, but we'll create other complexities that replace the previous ones. What do you think about it?  Yes. So businesses typically have cycles. There's usually a five- to seven-year cycle where a business hits its peak, and then it starts to trend down. And they usually have some level of innovation that has to reoccur for it to hit another up cycle, and then there will be a down cycle and so on and so forth. So it's always like an up slope after an up slope. When you've been in business for 30 or 40 years, you've gone through multiple rounds of these cycles—three or four rounds of those cycles. What I’m hearing right now is business owners that are, let’s say, at retirement age, they’re saying, “I don't know if I have what it takes to go through this AI cycle. Maybe I had what it took to make it through the eighties, nineties, and two thousands, but now we're in 2026. I’m not sure I’m equipped, or my team who’s also very senior, they don’t feel like they have what it takes to get through that next cycle without hiring young talent. But even then, they don’t really understand what they’re talking about. So there’s this gap. And again, I’m hearing it more and more of people saying, I think now’s the time to get out and let some other company that has gas in the tank, vision, and capacity to come in and do that thing.  Yeah, that's interesting. Do you think a multiple-AI–enabled company versus a post-AI company is going to be markedly different?  Maybe. Because it all comes down to revenue—it comes down to the revenue story. I'll give you a perfect example. You have a very profitable company, but they're using an old CRM. A new company comes in and says, “Hey, you're already profitable. If we buy you and put in a new CRM, maybe we could be even more profitable.” That’s cool. So we don’t really need you to put in all the tech. We’ll come in and do all that, and then we’ll get the upside on that. Just as long as you’re profitable, as long as you’re profitable, yet you don’t have major client concentration, your business has all the components. A new company with new vision could come in. That would largely be a strategic buyer. The PE buyer, the financial buyer, most likely is going to want to inject capital into your business so you can go and reinvest, and build new tech, or become a platform, whatever you’re going to be. But that would be a different arrangement. So it's basically a numbers issue. It doesn't matter your technological evolution. And maybe it’s even worse if you've already implemented AI and that only allows you to make five million dollars—there's less upside for the buyer.  Yeah. The bigger concern is: Is your industry at risk because of AI? Is your particular business at risk? And that's why I think people need to adopt it—so they can say, “No, we're not at risk. We've adopted it, we're applying it in whatever fashion we're doing it, and we're going to see the results.” We've already seen a major downswing in a handful of industries because of AI. I mean, advertising agencies are getting hit really hard. People used to be able to charge for writing press releases, to write blogs, to write social, to do video editing on social media. A lot of that's gone, so the bottom tier of those agencies is just gone—there's no need for them anymore.  Do you see people proactively working on making themselves AI-resilient? Everyone knows that they need to do it. Nobody is unaware that today, it’s like websites. There was a time when everyone knew they needed a website. They just didn’t really know how they were going to build it or who was going to build it. They knew it was going to be expensive. It’s kind of where we’re at right now. Everybody knows they need AI. They’re just not exactly sure how they need AI, what it can actually, literally do for them.I think for some people, that big dream that it was going to do everything quickly got taken off the tableShare on X and they say, okay, we could do this much, but even this much is make me very effective.  But it’s just not going to do everything. Like, I still need an accountant. I still need an account manager. I still need someone to do these things, but maybe I don’t need as many people as I once did. So we’re seeing kind of some leveling off there. But I would say largely most people don’t know what AI can do for them, and they’re not really prepared to make those investments. We have a client right now that just made a half million dollar investment into an RFP tool that’s going to help them move faster than their competitors, submit more on RFPs, build everything out in a very complicated way, but they’re making a half million dollar investment. How many companies out there are saying, let’s go, give me the invoice. I’m ready to roll. There’s still a lot of pause there.  What you're describing feels more like a defensive play—okay, we know AI is coming, so we have to implement some AI tools. But I’m thinking more about the big picture. Is my industry going to be disrupted by AI? And how do I pivot my business before I lose momentum, so I become like Netflix—going from a video rental company to a streaming company? Yep.  Do you see companies rethinking their business model?  I think from what I’ve seen, people are rethinking everything—top to bottom. Because you have to start with labor. That’s usually where people start. “AI can do all these things—do I need less talent on the deck?” And if I do, then what can AI do so I don’t have such heavy overhead? Because overhead is also liability, and it has this employment risk behind it. So if you can go from a thousand staff to 800 or 750, great, let’s do it—why wouldn't you do it? Most people are saying, “Let's figure that part out first.” The next thing is the industry disruption, which is what’s our competitors doing to service clients better, manufacture faster, or do things cheaper, so then we’re not left in the dust. So from a production standpoint, we need to figure this out quickly. What I'd say—what I do—is, as an analyst, as a consultant and advisor coming in, that's why I built my AI. I built my AI to fire myself. I basically said, “What I used to do as a management consultant is now irrelevant, because AI is better than me.” So let me just build the digital me and not worry about that side of my business anymore. So I just don’t worry about that anymore. I don’t even really take on assignments that I used to, because AI can do it better and faster. Now, if you want to hire me and allow me to use my AI tool to handle the technical work, I'm more than happy to do that. But I'll tell you firsthand—save your money.  So you're giving it away, or are you selling it?  Yeah, it's free. It's free. It's on ChatGPT. What people can’t do is sit down and have an honest, sincere conversation and ask them the hard questions and challenge them. That's where AI still lacks the human component. I can take a client and say, “Hey, let's hang out. Let's get lunch. Let's go play golf. Let's bring in your kids. Let's talk to your kids. Let's talk about the family dynamic.” Let’s just have a sincere conversation. Let me hold space and create a forum where I can hear people. And that human component is the only thing that I’m worried, like I’m working on now. I'm out of the technical side, because that part of my job is gone.  So fascinating. So does it mean you have to be more of a social animal?  I think so. If you're not going to be a social animal and you're just going to sit at your desk, you should probably be building software using tools like Replit, n8n, or any of these different software tools and just go all in.Share on X But the way we used to do it—you probably see this on LinkedIn, with all the bots on LinkedIn, it’s not what it used to be. It used to be a place where you had a handful of connections and actually met people. Now it’s just so overrun with the bots. It’s like I don’t even want to accept connections anymore. I'd much rather have a conversation like this. To me, this is the future.  Yeah. But maybe we connected originally through LinkedIn. I don’t know where, how we connected, but we may have have connected through a bot—actually.  It’s possible.  Yeah.  It’s possible. But I'll tell you, I connect with maybe one or two percent of people now. Previously, because I didn't get so many inbound inquiries, I would connect with more, because I felt like there was a sincere person on the other end. Now, I really don't know. I've become very skeptical.  Yeah, I'm with you. Let's switch gears, because our time is running out. And there are a couple of things that in our pre-interview you talked about, and one was minimalism. Yeah.  What is minimalism? How do you do it? And what’s a low-hanging way to start to become a minimalist?  It's kind of like that first-principles idea of what really matters. It’s essentialism. It’s kind of getting down to the one thing, that was my recent blog, if there was only one thing you could do this year, but it would make all the difference, what would it be? And anything that gets in the way of that one thing is just noise. For me, minimalism is really about reduction, and kind of getting rid, and being aware and cognizant of things that really shouldn't be on your desk, on your to-do list.Share on X And using AI tools and assistance to get rid of everything that’s low-level activity. If you think of a pyramid, at the very top is where the most value that you can add would be. But yet we spend all of our time, if this is a time pyramid, most of our time is spent at the bottom, the wide part that pretty much anyone can do. So we kind of got to invert the pyramid. To get there, you have to reduce and extract. To protect your time, you have to treat it as very precious and focus only on the most important thing at all times. It is a very hard thing for all professionals to do, and it’s always been a hard thing, but I just take it upon myself and say, okay, well, as a minimalist, I mean, if you were to come to my house and see how sparse my furniture is on purpose. How sparse my closet is on purpose. I’m trying to get rid of options. It's like Steve Jobs and the black turtleneck—if I have one less thing, because I can only make so many choices and decisions in a given day, let me spend my time on the things that are the most important and most impactful.Share on X And that’s not always, because it’s going to put millions of dollars in my bank account. Sometimes it’s just helps me sleep better at night. So I don’t need 50 clients. If I’m going to have 50 headaches. What if I just have five clients? And every one of those was one that I felt very good about, and that would allowed me to charge more. It allowed me to go deeper with them. It's that concept—then you're free to see where your scalable opportunities are. It's the story I told you about a monk who was carving away at this beautiful elephant. Someone walks up and asks, “How did you learn to do this, carving away this elephant in the stone? And he says, Oh, I just chip away everything that's not the elephant. So for me, I have to have a very clear picture of what the elephant is. I have to see the picture in my brain first—like what my life is, what I’m trying to build, how good of a dad I’m trying to be, how good of a husband I’m trying to be, how good of a business partner or a service provider, an advisor. This is my life’s work as a masterpiece, so let me just get rid of anything that doesn’t belong as part of that picture. So that, to me, is kind of how I would explain it. And my approach toward it is I just get rid of everything. It’s not about accumulation. I don't really need more information, because AI already has all the information. Anything I'm going to absorb, I have to be very intentional about—why am I reading it? I see all the books on your shelf. I could show you my bookshelf—tons of books, right? I feel like I've read them all. Am I going to learn anything new? I could also just go back to the books I've already read. I try to highlight them and stuff, but it's like, what more do I need at this point?  Yeah. So I’m wondering about this idea of a lifestyle business versus a growth business. Because what I see is that people who are building a lifestyle business, it’s easier for them to be a minimalist. Because you just do this most valuable thing. You don’t have to build the business. You don’t have to worry about necessarily all the other people, systems, and processes, or making sure of quality control. You just do your high-value work, and at the end of the day, you can put things down and relax. Whereas a growth business, it's different.  I would say with the clients that I have—some have thousands of employees, some have hundreds—I still encourage them to reduce and subtract. Even though they're in high-growth, highly scalable businesses, sometimes the conversation is: How many direct reports do you have, and why do you have that many direct reports? How are you delegating? How are you giving authority? How are you limiting all the inputs? Because a lot of it is noise in your given day. So how do I make your day a little more silent so you can have a little more peace to make better decisions while you run this highly scalable business? Just because you're scaling doesn't mean it needs to be pure chaos. That's what people think—they think, “Oh, if I scale, that means chaos.” I'm anti-chaos.  Okay. But let me ask you this: Two of the most successful entrepreneurs of our time are Elon Musk and Jensen Huang. Elon Musk runs six companies, so he's got a lot of direct reports and goes deep in each of them. And then Jensen Huang has, I don't know, 20, 30, or 40 direct reports—he basically has a million direct reports as well. And that actually allows them to be closer to decisions and make sure things don't go off the rails and their vision gets manifested. So that's what I'm kind of wondering—whether minimalism means you're going to, maybe the flip side is you have to accept less growth, or maybe not.  So I’ve met with a lot of entrepreneurs in my life. Not one of them has been Elon Musk. So I would say we’re looking at the median of entrepreneurs, the average entrepreneur. Those are the people I deal with. I’m not dealing with Elon Musk. I would love to, but I don’t have those types. I have the family-owned business who took it over from their dad and they’ve been running it for 50 years, and he has 250 employees, and he’s got pure chaos, and I’m getting the call to go in and try to sort him out. These are not always the highly sophisticated Steve Jobs types of the world. If you really take a look under the hood with Elon—I read his book and listened to the audiobook with my kids, so I'm very familiar with his story, because I've heard it twice now—what they don't really mention is all the heroes underneath Elon. He wouldn't be who he is without all the many heroes, all the systems, and the Six Sigma and other processes and procedures. That's not to say he doesn't take a deep analytical look at everything, but who are those heroes and what are the processes? I'm far more interested in hearing about his VP of Operations than about Elon. Because what has his VP of Operations worked out? What systems have they implemented that allow him to scale and build a Tesla? Or his COO, like, what do they have going on? Elon's a face. Elon's a madman. He creates all this momentum and chaos, and then he has teams of people behind him who make sense and order out of that chaos. That's why you have what you have with Tesla. If he were just Elon Chaos, without that, I don't believe he would be where he is. But he had people that wanted to get in line. He had a lot of people that wanted to get in line. They believed in his vision. He had huge visions, and it's very inspiring to get behind those visions. Then they say, “Okay, give me the ball. We'll create the infrastructure that allows this thing to take off.” So I'm far more interested in the infrastructure that allows for that scale.  I agree. I'm just thinking whether there is this kind of dichotomy. Because I see that many entrepreneurs—when I was an investment banker—until they sold their business, they were not able to have that simple lifestyle they perhaps desired, because they were building, they were reinvesting. And it wasn't just reinvesting their cash—they were reinvesting their time. So every time they simplified, that was the opportunity cost of not using that time to improve their business. So they plowed it back in, plowed it back in.  Well, it's kind of like the E-Myth is a bit skewed. It's almost like the E-Myth is a myth. E-Myth is a dream—a dream that you can work on your business, step out completely, and everything about it runs itself. It doesn't really work that way. If you're going to be a successful entrepreneur, you're going to have late nights, long weekends, and you're going to feel like every major problem is your own because you're taking all the legal risks. I'm not telling people not to scale. I'm not telling them not to have chaos. What I'm trying to help them do is get clear on what they consider to be important.  And not get killed in the process, and not get divorced.  Statistically, that can happen—the more successful someone gets.  Yeah, it does. Because our time becomes much more valuable, and at some point, it's really hard to say no to the million-dollar hour—to spend that hour watching Netflix with your spouse, right? Exactly. Just feels harder to do.  Exactly.  Yeah.  That was good.  Alright, well, I enjoyed this tremendously. So one more question, one more question that I have to ask you. You talk about this $3 million rule—what do you mean by that? That’s a really interesting concept.  Yeah. So most small businesses get stuck around $3 million, statistically. The question is, why? Why do they get stuck there? A large majority gets stuck and it’s because they create a lifestyle for themself around $3 million. They’re taking enough off the table that they would never be able to find a job that would be able to replace that type of income. So they've made their small business their sole business, their job, and they say, “This is good enough for me,” because let's say half a million dollars, more or less, is going into their bank. They're filling up their 401(k), sending their kids to private school, giving themselves big bonuses. If they're profitable, they don't really see the need to take more risks or double down to go past that wall. I've seen many businesses kind of stay there. They’ll go fluctuate up and down through the years, but more or less they’ll hit that wall. They could stay there for 20 years and never make any progress. It’s not until they put on new thinking and say, we’re going to grow through acquisitions, we’re going to target a different market, new products, we’re going to innovate in some way. But that takes extra gas in the tank. Sometimes, a lot of entrepreneurs, once they hit that first level of success, say, “This is good enough for me,” because it usually takes them about five to seven years to get to that first major breathing point.  They're not hungry enough anymore.  Exactly.  Does someone has to be a little crazy to still want to eat more, even though they're already full?  Yeah. Some people are just wired that way. Some people just more and more, and that's no slight against them. They're never satisfied. They always want more—another dollar, another nickel. If they saw a nickel on the floor, they would stop and pick it up. They want every piece of everything. And those people usually are the ones that go and go and go and go. They’re usually the ones that just keep going because it’s an insatiable appetite. I'm not talking about people who get—well, I don't want to call it lucky—but sometimes things do fall out of the sky. Sometimes a big client falls out of the sky, or an opportunity opens up, and people are smart enough to buy their competitor when the competitor approaches them. Or sometimes they make these little moves, and that gives them a leap. I’m not talking about those people. Those are outliers to me. I’m talking about your average entrepreneur that built a $3 million business on his own with no major clients falling, just hard work, blood, sweat in tears. The average Joe typically gets stuck around that $3 million.  Yeah, that’s interesting. Fascinating. Alright, well, if you don't want to be stuck around $3 million, or if you want to get to the next level, then reach out to Tim and check out what he’s doing. So where can our listeners find you? Where can our listeners find you if they want to learn with you, learn about you, read your Substack, read your books? Where should they go?  Just go to Google or AI and type in Tim “The Inside Man” Martinez. The Inside Man is an acronym for Tim. You'll find my LinkedIn—happy to connect with you, just tell me you heard me on Steve's podcast. You can also check out my blog: it's Tim “The Inside Man” on Substack, or go to www.theinsideman.biz, my website. I'd love to connect with anyone. Well, do check out Tim's Substack—it's awesome. You're going to get more of what you heard on this podcast. And if you enjoy listening, make sure you follow us. Subscribe on YouTube, LinkedIn, Apple Podcasts, or wherever else you get your podcasts, because every week I'm inviting—and luckily more and more people want to come on the show—to have a conversation. So thank you, Tim, for coming, and thank you for listening. Important Links: Tim's LinkedIn Tim's website

Send us a textAs CEO of ISTE+ASCD, Richard Culatta focuses on shaping innovative learning leaders. He previously served as Rhode Island's Chief Innovation Officer and was appointed by President Obama to lead the US Department of Education's Office of Educational Technology. His book, Digital for Good, helps create conditions for healthy tech use.

Unified commerce is everywhere — but Pim Vijftigschild (Chief Commercial & Partner Officer at New Black) argues the next wave is bigger: contextual commerce.In this episode, we break down what “contextual” actually means in retail: capturing the interaction that leads to the transaction, rebuilding the “black book” level of customer understanding, and why most enterprise retail architectures (and RFPs) are stuck in the past.We also get into why modern retail transformation is 15% technology and 85% courage, how retailers get trapped in Frankenstacks and “best-of-breed” RFP thinking, and why click & collect became the wake-up call for legacy systems.Plus: a look at New Black's NRF plans, including iOS Avenue (a live store experience built with an ecosystem of partners) and a world tour concept designed to help retailers bring NRF inspiration back home and translate vision into execution.What you'll learn:How to convert any interaction into a transactionWhy retail tech stacks must shift from an enterprise pyramid to a customer-first funnelThe hidden failure in best-of-breed RFPs (and what's missing)Why “open heart surgery” is the right metaphor for POS changeHow brand communities move from one-way “clienteling” to two-way belongingGuest: Pim Vijftigschild, Chief Commercial & Partner Officer, New BlackTopic: Contextual commerce, retail transformation, platform strategy, communities, NRF

Send us a textA train rumbles past our new Union Station studio as we kick off a candid, future-facing look at what makes the Quad Cities move: river, road, rail and a visitor economy ready to surge in 2026. We walk through the marquee wins already on the books and the quiet engine behind them: high-impact group tourism that fills weeknights, fuels local businesses, and lifts community pride.From multi-week bowling tournament and the nation's largest D3 women's wrestling invitational to the LBAA women's bass fishing tournament on the Mississippi, we unpack how sports tourism transforms venues and storefronts across the region. Then we stack championship golf, NAIA Men's at TPC Deere Run, MVC Women's, and the new NJCAA D1 Women's at Oakwood, creating a rare doubleheader that cements the Quad Cities as a championship-ready destination. The spotlight widens with SAFECON, the collegiate aviation finals hosted with the Quad Cities International Airport, drawing top talent and industry leaders for weeks of competition while commercial service keeps humming.We pull back the curtain on how these wins actually happen: relentless sales, trade shows, RFP strategy, and partner alignment in a fiercely competitive market. That's why a facilities and venues master plan is next. This is an honest audit of event space to modernize aging assets, close gaps, and prevent the costly drip of lost business. Along the way, we tap the power of digital trails to convert meetings into longer stays: the John Deere Trail for heritage lovers and the upcoming Rock Island Arsenal Trail to unlock America 250 stories with tours, events, and self-guided discovery.Visitor trends show fewer trips but longer stays; we're ready with authentic experiences, QC-style pizza, local makers, and a vibe that's world-class yet hassle-free. International travelers find the real Midwest here, supported by partners like Travel Iowa, Enjoy Illinois, and Brand USA. Resident sentiment tells us pride is rising and tourism's benefits are clear: more tax revenue, better amenities, and a stronger brand. Help us keep the momentum: share the show, rate and review, subscribe for more stories, and Bring It QC—what event or association will you help us host next?QC, That's Where is a podcast powered by Visit Quad Cities. Through the people, partnerships, and personalities woven throughout the Quad Cities region, you'll meet real Quad Citizens and hear the untold stories of the region.Follow Visit Quad Cities on social media and never miss an episode of #QCThatsWhere.FacebookInstagramLinkedInX

In this episode of the Federal Help Center Podcast, Zach Golden walks through how contractors can use OpnGovIQ to break down an RFP quickly and avoid falling behind as opportunities begin dropping faster and deadlines shrink. He explains how uploading key documents like the PWS and price schedule can instantly generate a compliance matrix, helping businesses identify exactly what the government is asking for before wasting weeks on the wrong bid. Zach also highlights the importance of spotting early "beige flags," like difficult overnight staffing shifts or specialized medical cleaning requirements inside VA hospital environments. Instead of bidding blindly, this approach allows contractors to make smarter bid/no-bid decisions, understand evaluation factors beyond lowest price, and prepare stronger proposals with confidence and speed. Key Takeaways OpnGovIQ helps contractors evaluate RFP requirements fast by building a submission matrix from uploaded documents. Deadlines are shortening and opportunities are accelerating, so speed in bid/no-bid decisions is now a competitive advantage. Specialized requirements (medical spaces, surgical suites, shift coverage) must be flagged early before committing to a proposal. If you want to learn more about the community and to join the webinars go to: https://federalhelpcenter.com/  Website: https://govcongiants.org/  Connect with Encore Funding: http://govcongiants.org/funding

Send us a textJoin hosts Ben Kornell and Alex Sarlin, joined by special co-host Mike Palmer, host of Trending in Ed, as they break down the biggest stories shaping AI, K–12 policy, higher education, and the global future of education.✨ Episode Highlights:[00:03:34] SchoolAI study shows teachers using AI for reasoning and inquiry [00:09:58] Denver Public Schools blocks ChatGPT over safety and privacy concerns [00:12:20] SoftBank invests another $30B in OpenAI as ads roll out [00:13:24] Gemini and Anthropic lead the race for AI in education [00:20:36] China launches nationwide AI literacy for K–12 [00:29:58] Most U.S. states still lack formal AI guidance for schools [00:33:13] Phone bans spread rapidly across schools [00:38:44] Higher ed enrollment rebounds but retention remains weakPlus, special guests:[00:46:19] Jeremy Smith, CEO and Co-founder of pega6, on one-year AI-first career accelerators [01:11:29] Stewart Brown, K–12 Computer Science and AI Literacy Leader at Code4Kids, on CS as a core elementary subject

Guest Devansh Mehta Panelists Eriol Fox | Victory Brown Show Notes In this episode of Sustain, host Eriol Fox and co-host Victory Brown are at Devconnect Conference in Buenos Aires with Devansh Mehta from the Ethereum Foundation, to unpack one of the hardest problems in open source: how to fund the public good infrastructure that everything else depends on fairly, ethically, and at scale. They dig into quadratic funding, “credit assignment,” dependency graphs, Goodhart's Law, and how AI can help, without taking over. Also, why open networks still struggle to compete with corporations and what new funding mechanisms like Deep Funding are trying to change. Hit download now to hear more! [00:00:22] Eriol introduces Devansh, and he tells us about the work he does at Ethereum Foundation. [00:01:32] He explains two core problems: Funding loop and Credit assignment. [00:03:57] He identifies two failure modes: Popularity contests and lobbying & favoritism and shares why he found quadratic funding very liberating. [00:05:48] Devansh uses Bitcoin as a simple model: miners get all the credit for a block and the new BTC is the funding loop. [00:06:51] He defines public goods as value created minus value captured and argues the real challenge is linking revenue centers to cost centers. [00:09:19] Devansh proposes a 3-step model for connecting revenue and OSS dependencies: Build an accurate dependency graph, weight the edges, capturing “how much value I get from you, and send money into one address and let it flow through the graph by weights. [00:11:28] Goodhart's law is explained, and Devansh warns metrics like stars/downloads break once tied directly to money and he gives some solutions to use non-deterministic AI and human judgement. [00:16:04] Victory wonders how we can make this more ethical. Devansh notes that experts have the biggest conflict of interest, and he introduces cryptographic ideas: Confusion and Diffusion. [00:18:27] Devansh analogizes funding mechanisms are like recommendation algorithms and critiques the current RFP/grant system common in non-Web3 open source. [00:21:01] Find out where you can follow Devansh on the internet and he shares the Ethereum Foundation believes in the “policy of subtraction” and highlights some key partners in deep funding: Seer, Pond, and Drips. Links podcast@sustainoss.org richard@sustainoss.org SustainOSS Discourse SustainOSS Mastodon SustainOSS Bluesky SustainOSS LinkedIn Open Collective-SustainOSS (Contribute) Richard Littauer Socials Eriol Fox X Victory Brown X Devansh Mehta X Deep Funding Deep Funding GG24 Web3 Tooling and Infra Round Agent Allocators Devconnect- 2025, Buenos Aires, Argentina, 17-22 November Ethereum Ethereum Foundation Ethereum Foundation Blog Goodhart's law Seer Pond Drips Credits Produced by Richard Littauer Edited by Paul M. Bahr at Peachtree Sound Show notes by DeAnn Bahr Peachtree Sound Logistical support by Tina Arboleda from Digital Savvies Special Guest: Devansh Mehta.

Government issues an RFP to improve road safety; a local nurse is honored; Cayman marks World Wetlands Day; and students learn all about Cayman's endangered Nassau Grouper population.

Send us a textShangyup Kim is the CEO of ZEP QUIZ, the metaverse-based gamified K-12 learning platform. Built AI-driven tools that help teachers motivate students at scale and is expanding across Asia and the U.S. As a former ZEPETO leader, focusing on gamification, futuristic change, and education. Formerly built two Series B companies.Jangwoo Bae is the business developer of ZEP QUIZ, a former English teacher and school administrator in Thailand during COVID-19. Recognized the need for educational tools that extend beyond traditional classrooms and the urgent necessity for digital transformation in schools, while preserving the fundamental values of learning.

RFP - 'The Menopause Industry' by Sandra Coney, discussed by Sheila Jeffreys and Renate Klein.A live webinar recorded on 1st Feb 2026 at 10am UK time.On Sundays (10am UK time), our webinar series Radical Feminist Perspectives offers a chance to hear leading feminists discuss radical feminist theory and politics.Attendance of our live webinars is women-only, register at https://bit.ly/registerRFP

In this episode, Janette Roush, the SVP of Innovation and Chief AI Officer at Brand USA, shares how her team moved past AI hype to real, working applications across the organization. She explains what agentic AI looks like in practice, how organizations shift from individual experimentation to true organizational upskilling, and why trust and verified data are becoming mission-critical as travelers rely more on AI for planning. You'll hear concrete examples from RFP evaluation, internal workflows, and campaign launches, along with a clear argument for why destination organizations must reposition themselves as trusted sources of truth. This episode is for hospitality and travel leaders who need practical direction on how AI is already reshaping discovery, decision-making, and organizational strategy.Listen to our previous conversation: America's Chief AI Officer for Travel Shares AdviceResources we mentioned:Janette's websiteClaude Code LovableBrand USA's America the Beautiful campaign siteHow I AI PodcastEveryMarketing Against the Grain A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

The China Aerospace Science and Technology Corporation (CASC) has shared plans to develop space-based data centers. A SpaceX Falcon 9 vehicle launched the GPS III-9 Space Vehicle 09 for the US Space Force (USSF). The US Space Systems Command (SSC) has released a draft request for proposals (RFP) for the Hybrid Architecture and Development for Experimental Systems, or HADES, contract, and more. Remember to leave us a 5-star rating and review in your favorite podcast app. Be sure to follow T-Minus on LinkedIn and Instagram. T-Minus Guest Our guest today is Brian Miske, Americas Space Leader for KPMG. You can connect with Brian on LinkedIn, and find out more about KPMG on their website. Selected Reading China plans space‑based AI data centres, challenging Musk's SpaceX ambitions- Reuters U. S. Space Force Field Commands successfully launch GPS III Space Vehicle 09 into orbit Space Systems Command Issues Draft RFP for HADES Contract NASA's SpaceX Crew-12 Begins Quarantine for Space Station Mission York Space Systems Announces Pricing of Upsized Initial Public Offering NASA's Arcstone Instrument Successfully Completes Primary Mission Share your feedback. What do you think about T-Minus Space Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.  Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

B2B sales leaders lose deals not in the RFP-but long before it arrives. In this episode, we unpack why RFPs fail in B2B sales, how sales leadership must rethink RFP strategy, and what outcome-based selling looks like in complex enterprise sales environments. RFPs trigger pressure, speed, and reaction - but that instinct is exactly what kills win rates. Host Harry Kendlbacher sits down with Patrick Oestreich, a senior commercial leader preparing to assume a CEO role, to break down how elite B2B sales teams approach RFPs with discipline, clarity, and leadership judgment. This episode is a masterclass in B2B sales strategy, qualification, and modern sales leadership - especially for teams operating in procurement-driven, enterprise environments.

Hiring a capital campaign consultant can quietly shape the success of your entire campaign, long before a single dollar is raised.In this episode of All About Capital Campaigns, hosts Amy Eisenstein and Andrea Kihlstedt walk through how nonprofit leaders can involve their boards, educate their teams, and choose a capital campaign consultant with clarity and confidence. Amy and Andrea share why the consultant selection process itself creates valuable learning for board members and staff, even before any hiring decision is made. They explain how a thoughtful process builds alignment, surfaces assumptions, and helps organizations understand what experienced capital campaign support actually looks like.Listeners hear why starting with conversations matters more than paperwork, and how early calls with consultants reveal far more than a standardized proposal ever could. Amy and Andrea outline how to form an effective consultant selection committee, who should serve, how large it should be, and how to set expectations so the work stays focused and productive. They also explain how involving skeptical board members at the right moment can strengthen buy in rather than stall progress.The conversation addresses one of the most common missteps nonprofits make when hiring a consultant: relying on an RFP to drive the decision. Amy and Andrea explain how RFPs often lead organizations to define services they do not yet understand, while strong consultants respond best to real conversations about goals, readiness, leadership dynamics, and fundraising history. Listeners learn what to listen for during early calls, including curiosity, responsiveness, and the kinds of questions consultants ask when they truly understand campaigns.This episode also tackles persistent myths about local consultants and donor lists. Amy and Andrea clarify why ethical capital campaign consulting never involves bringing outside donors into an organization, and why experience across many campaigns matters more than proximity. They discuss how national firms bring broader perspective, tested approaches, and exposure to a wide range of campaign environments, while still respecting local context and relationships.As the episode continues, Amy and Andrea explain how to narrow a consultant list, gather proposals that actually reflect strategic thinking, and evaluate models of support. They compare hands on implementation approaches with advisory and coaching models, helping listeners identify which style best fits their organization, staff capacity, and campaign goals. The discussion also highlights why staff leadership matters in the final decision, since staff will work most closely with the consultant throughout the campaign.This episode offers practical guidance for nonprofit executives, development leaders, and board chairs who want to approach consultant selection with intention rather than pressure or assumptions. By the end, listeners gain a clearer understanding of how to use the hiring process as a learning opportunity, how to avoid common traps, and how to choose a consultant who truly strengthens their campaign from start to finish.For more board engagement tips, be sure to download our free Board Member's Guide to Capital Campaign Fundraising. It answers the questions board members most frequently ask, or wish they could ask.

RFP - 'Barbie Meets A Very Poor Thing' by Jocelynne Scutt, discussed by Jocelynne Scutt and Marian Rutigliano.A live webinar recorded on 25th January at 10am UK time.On Sundays (10am UK time), our webinar series Radical Feminist Perspectives offers a chance to hear leading feminists discuss radical feminist theory and politics.Attendance of our live webinars is women-only, register at https://bit.ly/registerRFP

In this episode of the Federal Help Center Podcast, Ryan Atencio breaks down a practical, AI-powered approach to opportunity shredding—the fastest way to determine whether a government contract is worth pursuing before wasting time and resources. You'll learn how a custom AI "shredder" prompt can instantly extract the who, what, when, where, why, estimated FTEs, security clearance requirements, key personnel roles, contract structure, and even potential incumbents—without manually reading dozens of pages. The episode also covers how this summary becomes a clean internal go/no-go decision tool, why brevity matters when sending opportunities upstream, and how visual summaries (like infographics) can dramatically improve decision speed and clarity. Key Takeaways Speed wins contracts. AI-driven shredding replaces manual highlighting and cuts RFP review time from hours to minutes. Go/No-Go is the real objective. Early summaries should answer only one question: Do we pursue or walk away? Brevity beats brilliance. Decision-makers won't read walls of text—clear summaries (or visuals) get faster approvals. If you want to learn more about the community and to join the webinars go to: https://federalhelpcenter.com/  Website: https://govcongiants.org/  Connect with Encore Funding: http://govcongiants.org/funding Join 2026 Surge Bootcamp Starting January 31: https://govcongiants.org/surge 

This episode of Astonishing Healthcare features three members of The Judi Group's leadership team: Jeff Hogan (Co-Founder & Managing Director), Chris Deacon (Director, Growth & Strategy), and Julie Selesnick (Director, Legal & Compliance). The Judi Group is a new venture - a premier advisory firm in healthcare on a mission to help companies evaluate the totality of their health vendors and contracts, deliver insights that lead to more responsible action, and ultimately improve the overall cost picture and health outcomes for their health plans and plan members, respectively. But why now? What steps can employer plan sponsors take to improve their contracting and access data? How do you set up a sustainable fiduciary process? For the answers to these and many more questions, like our guests' personal reasons for embarking on this journey, you'll have to listen in!HighlightsWe've reached a boiling point - everyone is tired of how the US healthcare system operates,, the misaligned incentives throughout the supply chain, and the unnecessary complexity of it all.There's a growing willingness among employers to challenge the status quo, embrace transparency, and create customized benefit plans that better serve their unique populations.Jeff is driven - in part - by his experience as a public servant, Julie tends to fight for the underdog, and Chris is inspired by the opportunity to make a tangible difference in healthcare.The RFP process must be redesigned for each employer, with their unique needs in mind.Access to claim-level data is critical if employers are to fulfill their fiduciary duties, make informed decisions, and ensure prudent use of employees' healthcare dollars.Related Content AH041 - ERISA Litigation Outlook and Meeting CAA Requirements: What Can Plan Fiduciaries Do?Health Benefits 101: The Importance of a Transparent PBM ModelReplay - Unifying Medical and Pharmacy Benefits: The Blueprint for Better Employee Health and WellnessJudi Health Policy Pulse: 2025 Regulatory Roundup, the Push for PBM ReformTo learn more about the Judi Group, the team, and its mission and services, please visit www.judi.group.For more information about Judi Health and this episode, please visit Judi Health - Insights.

Send us a textJohn Gamba is Entrepreneur in Residence at Catalyst @ Penn GSE, where he mentors education entrepreneurs and leads the Milken-Penn GSE Education Business Plan Competition. Over 17 years, the competition has awarded $2M to ventures that have gone on to raise more than $200M in follow-on funding, with a strong focus on equity and research-to-practice impact.

Edward Don & Co. CIO Tim Walter sat down with host Lucas Mearian at Foundry's CIO100 Symposium to talk about his company's efforts to harness AI for e-commerce, demand forecasting, and RFP automation. The company's goals are to improve customer experience, accelerate sales cycles, and optimize supply chains. From truck tracking to virtual kitchen design, the distributor blends emerging technology with human expertise to drive efficiency and grow nationwide operations. https://www.linkedin.com/in/timwalter55/ And for more conversations with CIOs, check out CIO Leadership Live in Atlanta on March 5th at the Westin Buckhead Atlanta. This exclusive, in-person experience brings together CIOs and senior technology leaders for candid, peer-driven conversations on leadership, innovation, and what's next. We're also accepting nominations for the Next CIO Awards, recognizing emerging technology leaders who are shaping the future of IT. If that sounds like you — or someone on your team — now is the time to nominate. Learn more, register for Atlanta, and submit your Next CIO nomination at event.foundryco.com/cio-100-leadership-live-atlanta/.

How Solo PR Pros Can Use RFPs To Land New Business Episode 330 Episode Summary In this new year, many independent communications professionals are often looking for ways to make some noise and grow their businesses. For some, that path may lead to the dreaded Request for Proposal (RFP). In this episode of That Solo Life, Karen Swim, APR, and Michelle Kane tackle the topic we all "love to hate." While RFPs can sometimes feel like a heavy lift for a solo practitioner, they remain a vital avenue for securing work with corporations, government entities, and nonprofits. Karen and Michelle break down how to stop fearing the process and start strategizing for success. They discuss the importance of discerning which opportunities are worth your time, how to humanize a sterile bidding process, and why relationships often trump qualifications on paper. Whether you are looking to streamline your proposal workflow with an asset library or wondering how to use AI as a thinking partner, this episode offers practical tips to help you turn the RFP process from a burden into a winning business strategy. Episode Highlights [00:01:26] The Necessary Evil: Introduction to RFPs as a topic and why they are a valid pathway to new work in the current business climate. [00:03:24] decoding the "Cattle Call": Distinguishing between different types of RFPs—from government contracts to open calls on PR sites—and determining which are worth the effort. [00:04:51] The Human Element: Why you should always try to move beyond the document to have a personal conversation or "discovery call" before submitting. [00:05:37] Red Flags and Alignment: How to spot budget mismatches early and decide if a prospect aligns with your values before you write a single word. [00:09:32] Streamlining the Workflow: Tips for building a "library of assets," including case studies and testimonials, so you never have to start a proposal from scratch. [00:10:15] AI as a Strategist: Using artificial intelligence to perform SWOT analyses on prospective clients to demonstrate big-picture thinking in your response. [00:14:47] Standing Out Visually: How to use creative elements, visuals, and even audio/video to showcase your personality and brand alignment. Related Episodes & Additional Information Solo PR Pro Blog: How to Evaluate RFP Opportunities Solo PR Pro Blog: Succeeding at Business Development in a Tough Year Episode 313: Strategies for Securing New PR Business   Join the conversation and share your own RFP success stories (or horror stories) with the community. Host & Show Info That Solo Life is a podcast created for public relations, communication, and marketing professionals who work as independent and small practitioners. Hosted by Karen Swim, APR, founder of Words For Hire and President of Solo PR, and Michelle Kane, Principal of Voice Matters, the show delivers expert insights, encouragement, and advice for solo PR pros navigating today's dynamic professional landscape.   Ready to take your solo business to the next level in 2026? Don't navigate this journey alone! Subscribe to the Solo PR Pro Youtube channel for That Solo Life episodes and actionable tips and insights. If you found value in today's discussion about RFPs, please leave us a review and share this episode with a fellow communication professional.

Building a company isn't glamorous - it's brutal, uncertain, and rarely as fast as the headlines suggest. But it's also where real growth happens.In this Season 9 kickoff, Logan and Evan sit down to reflect on a pivotal 2025 and share what's ahead. Logan announces he's joined Valent full-time after months as a contractor and angel investor, while Evan shares updates on scaling the AI-powered RFP platform now landing major enterprise customers.The conversation covers the real cost of entrepreneurship, why Logan's attempt to launch DevelopLou didn't pan out, how AI is transforming B2B sales without replacing the fundamentals, and Logan's new "Mission Critical" content series focused on energy, defense, and advanced manufacturing. They also touch on DevelopLex's breakout partnerships with Commerce Lexington and Downtown Lexington Partnership, and why Middle Tech will keep going - even if it never becomes a big business.Hosted by Logan JonesMiddle Tech is proudly supported by:KY Innovation → kyinnovation.comAwesome Inc → awesomeinc.org

Welcome back to #WithSONAR! This week, we're diving into Batch Rate Intelligence, SONAR's multi-lane pricing tool designed to support short-term pricing decisions and RFP strategy with downloadable, market-aligned rate intelligence. In this session, you'll learn how to: -Access Batch Rate Intelligence within SONAR applications -Upload lanes using the downloadable template or work directly in the UI -View real-time broker-to-carrier spot rates updated daily -Compare spot and contract rates (where available) to evaluate margin and spread -Understand lane scores to gauge capacity difficulty and pricing leverage -Monitor daily rejection rates to anticipate spot rate pressure -Export full datasets for Excel-based RFP analysis and customization Batch Rate Intelligence is an add-on within SONAR and is especially valuable as we head into RFP season, helping ensure your pricing reflects real-time market conditions.