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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

Vittorio Gucci arriva all'1% Podcast!In questa prima parte dell'intervista, Vittorio racconta il suo percorso fuori dagli schemi: dagli anni nella musica e in televisione, ai grandi cambiamenti del mondo dell'intrattenimento, fino alla scelta di seguire un'altra passione e trasformarla in un progetto imprenditoriale solido e riconoscibile.Si parla di visione, di errori, di verticalità, di social media come nuovo canale editoriale e di cosa significa oggi costruire un personal brand autentico nel food. Un racconto su come il mercato cambia, su quanto contino il contenuto e la coerenza, e su perché non basta essere visibili per essere credibili.Emergono riflessioni profonde sul lavoro, sulla responsabilità, sulle scelte che segnano un prima e un dopo nella vita di una persona e di un imprenditore. Un dialogo che va oltre il panino e tocca temi come identità, focus e consapevolezza.

È Nicolò Curzi, chef di Radico – Nuova Cucina Rurale a Corinaldo (Ancona), il vincitore dell'edizione 2025 di Veggie Style – L'altra faccia del panino, il contest ideato da 50 Top Italy in collaborazione con D'Amico, dedicato alla rilettura contemporanea del panino in chiave vegetale

Você conhece o Maialono Panino? Eu gosto bastante. Sou fã desde que abriu, como delivery, durante a pandemia.See omnystudio.com/listener for privacy information.

Il panino è una scelta pratica e amata da molti per il pranzo, ma come trasformarlo in un pasto completo e bilanciato? In questa puntata di Obiettivo Salute con la dottoressa Michela Speciani, medico esperta in nutrizione e infiammazione, vediamo come scegliere gli ingredienti giusti per un panino sano e nutriente, senza rinunciare al gusto e alla comodità. Parliamo di abbinamenti equilibrati, fonti proteiche, verdure fresche e carboidrati di qualità.

Questa settimana vi portiamo in giro per la riviera adriatica, da Venezia a Bari! Quindi si mangia, si va al teatro, e forse facciamo anche un po' di sport! Pronti? Mettetevi comodi, stiamo per iniziare. Trascrizione interattiva e Vocab Helper Support Easy Italian and get interactive transcripts, live vocabulary and bonus content: easyitalian.fm/membership Come scaricare la trascrizione Apri l'episodio in Transcript Player (https://play.easyitalian.fm/episodes/qtmtxduxxf9bjv7lufy8k) Scarica come HTML (https://www.dropbox.com/scl/fi/qtmtxduxxf9bjv7lufy8k/easyitalianpodcast191_transcript.html?rlkey=jq16em22sid7aq6mta27r5bsm&st=9ejyb2ye&dl=1) Scarica come PDF (https://www.dropbox.com/scl/fi/giajujft5xrq1er3j82fp/easyitalianpodcast191_transcript.pdf?rlkey=42h5fplvp70ivzx11gx6k6t23&st=jf0men1f&dl=1) Vocabolario Scarica come text file (https://www.dropbox.com/scl/fi/d1sxtl5jeyv2oz4vpl7qa/easyitalianpodcast191_vocab.txt?rlkey=t1yyg0aejeljmqrldz170q4ol&st=kz1z0e7u&dl=1) Scarica come text file with semicolons (https://www.dropbox.com/scl/fi/a1i2glrz2foccz9paelcn/easyitalianpodcast191_vocab-semicolon.txt?rlkey=u7k62q7biqd4cby67x0nc9dsj&st=9m7m9c86&dl=1) (per app che utilizzano flashcard) Iscriviti usando il tuo feed RSS privatoper vedere la trascrizione e il vocab helper subito sulla tua applicazione per ascoltare i podcast sul tuo cellulare. Note dell'episodio Making a Panino! Vlog in Slow Italian

Non mangiare MAI quel panino al McDonald's, una creepypasta inventata da Amico Diverte. Learn more about your ad choices. Visit megaphone.fm/adchoices

La mamma di Martina Carbonaro si è affiancata a Patrizio Chianese per la realizzazione di un contenuto discutibile! Ne parliamo nella nuova puntata di Diva Podcast!

Mike wraps up the show at Panino's where you still have time to score a great meal for a great deal! He also talks with Ron Sanders about next week's Spring kickoff event at Capriotti's. That and more on this hour of The Restaurant Show!See omnystudio.com/listener for privacy information.

Mike keeps things rockin' at Panino's, 604 N Tejon with half price meals! Grab for yourself the best selling grinder sandwich, the Cowboy panino, the veggie panino, or the gluten free chicken fettucine. Mike's advice? Come for a nice lunch, enjoy a panini. Then take home the pasta dish for dinner.See omnystudio.com/listener for privacy information.

Mike kicks off this gorgeous Saturday with a live show from Panino's! Great specials will be HALF PRICE meals. The best selling grinder sandwich, the Cowboy panino, and the veggie panino will all be featured as well as the gluten free chicken fettucine.See omnystudio.com/listener for privacy information.

Martedì 18 febbraio a Buccinasco, in provincia di Milano, si è svolta la finale nazionale di Artista del Panino, ben otto tra i migliori baristi italiani, si sono sfidati, per conquistare la vittoria. Ha trionfato Luca Giuliani, del  pub Porco Rosso di Colleferro (RM).Ascoltiamo il podcast!giovannicertoma.it

Martedì 18 febbraio a Buccinasco, in provincia di Milano, si è svolta la finale nazionale di Artista del Panino, ben otto tra i migliori baristi italiani, si sono sfidati, per conquistare la vittoria.Tra i partecipanti e in rappresentanza della Calabria, Mario Giulio Osso che, valorizzando dei prodotti di eccellenza, alcuni presidio slowfood, ha presentato la sua creazione: AbbraCalabria.Mario non ha vinto, ma con questa sua prima partecipazione ha tenuto alto il nome della sua amata Calabria.La vittoria è andata a Luca Giuliani, pub Porco Rosso di Colleferro (RM).giovannicertoma.it

May Ann and Frank Savitski are celebrating their 35th year as owners of Panino's Italian restaurants in Rockford, Illinois. Liz and Tim chatted about everything under the sun after a wonderful lunch at the East State Street location. It's so great to see locals succeed on this level.Recorded on January 29, 2025.

Da Mozart a Rossini, da Verdi a Elvis Presley, da Mick Jagger a Ozzy Osbourne, in questa puntata andiamo alla scoperta del rapporto tra cibo e musica e dei legami “di origine inventata” tra piatti tipici e grandi musicisti.See omnystudio.com/listener for privacy information.

Da Mozart a Rossini, da Verdi a Elvis Presley, da Mick Jagger a Ozzy Osbourne, in questa puntata andiamo alla scoperta del rapporto tra cibo e musica e dei legami “di origine inventata” tra piatti tipici e grandi musicisti.See omnystudio.com/listener for privacy information.

Qui trovi i libri che scrivo www.nonraccontostorie.it -- Un uomo si avvicina alla carrozza, spara e uccide l'arciduca Federico Ferdinando... finito, viene liquidato solitamente così questo evento nei libri di storia, però visto che io non voglio raccontarvi cose noiose, vi racconto davvero cosa è successo quel giorno, perchè questa storia potrebbe davvero diventare un monologo di stand up comedy: "la strepitosa morte dell'arciduca" ma soprattutto i 7 tentativi tragicomici falliti e uno in particolare, Questa è la storia che nessuno vi racconta dell'evento scatenante della prima guerra mondiale, che senza quel chiosco di panini costruito a Sarajevo, probabilmente, non sarebbe mai scoppiata.

Because Bobby and Christina Lashwood had so much fun offering specials in June for the restaurant's 50th anniversary, we're doing another event. The dine in or take out specials at the restaurant will feature any of their panino's on a TWO-4-ONE basis.  Choose from the Philly, the Big Bopper, Popeye, Cowboy, Cubano, Italian, Buffalo Chicken,Reuben, Grinder, or more (they have a lot to choose from). They will also offer on the same 2-4-1 basis , their two most popular pasta dishes - the chicken parmigiana and the shrimp scampi.  Come for lunch, enjoy a paninos, take home the pasta for dinner. NOTE - Plus, we will be promoting their Panino's To Go program which they created so you can ship Panino's to friends, family anywhere in the country.See omnystudio.com/listener for privacy information.

Bere un bicchiere di vino al giorno è il consiglio che i medici danno dall’alba dei tempi.. ecco, e all’alba dei tempi sarebbe dovuto restare. Nella puntata di oggi analizzeremo le motivazioni che portano le persone a credere che un bicchiere di vino al giorno possa fare più bene che male e capiremo se ha davvero senso crederci. Spoiler? Ovviamente no.See omnystudio.com/listener for privacy information.

The restaurant  group called 4North in the southeast quadrant of Voyager and Interquest, in front of the theater and across from New Life Church, has a FABULOUS new steak house called Cansano's.  Owned and operated by Chuck Schaefer, longtime CS restaurant owner, owner of Prime 25.  The place has just started serving lunch. Choose from the steak burger.  Half pound beef patty with onion jam, gorgonzola, tomato, arugula, pancetta crisps, black pepper mustard, brioche bun, house cut fries. Also offering the chicken parmesan sandwich with fresh mozzarella, peppers, basil, arugula.  Finally, offering the pizza for half price also.See omnystudio.com/listener for privacy information.

In this episode André take a look at the origin of the famous Panino from the Italian Star Deli in Regina. https://www.italianstardeli.com/Here is the CBC story referenced in the podcast - https://www.cbc.ca/radio/asithappens/as-it-happens-wednesday-edition-1.4191090/regina-deli-owner-cuts-off-his-legendary-mullet-from-heck-1.4191095Miroki visited Khoury's Fine Wine and Spirits on her recent visit to Las Vegas - What's it like slinging bottled in sin city? https://www.khourysfinewine.com/ Hosted on Acast. See acast.com/privacy for more information.

Alessandro Frassica is an Italian chef and the creator of our favorite panino shop of all time, Ino, in Florence, Italy. Alessandro is a cookbook author, the recipient of several noteworthy culinary awards, and a proud husband and father. His friends affectionally call him Ino and today on That Was Delicious, we discuss what makes a fantastic panino, how he started his iconic panino shop 18 years ago, and how to enjoy Italian food in its purest form without overcomplicating things.      Follow Ino on Instagram Follow Female Foodie on Instagram Visit Ino in Florence

Ormai è probabilmente il piatto più amato dal genere umano. Ma chi è stato il primo a mettere del cibo in mezzo a due fette di pane? Una curiosità da raccontare a pranzo! Scopri altre storie nel mio libro - "Persone che pensano in grande" - https://amzn.to/475PihA Entra nel canale telegram - https://t.me/storiedibrand Learn more about your ad choices. Visit megaphone.fm/adchoices

Mike is in Monument, Colorado at the Papa John's with a $5.95 special until 1 PM, talking with District Manager Brad Manske. Brad explains what makes the ingredients "better" at Papa John's, what is a Papadia pizza sandwich?, and more on why he chose Papa John's. Also, Mike talks with Bobby Lashwood from Panino's Italian Restaurant in Fort Collins. Mike tried a Spaghetti Salad, what did he think?See omnystudio.com/listener for privacy information.

Join our Patreon for the exclusive MtM Vegas Aftershow! More info at: https://www.patreon.com/MtMVegas Episode Description: As a reminder you can watch this show as well at: http://www.YouTube.com/milestomemories Recently the Las Vegas Convention & Visitor's Authority released their visitor profile for 2023 that dives deep into who is coming to town. Through a series of surveys they gather all sorts of data including who is visiting, how much they are spending and what they are doing in town. The trends over time are interesting and we share the most profound ones. In other news Atomic Golf has finally opened its doors at the Strat and it looks great. We also discuss Gold Coast's new rooms, Circa Sports expanding again, the best bagels in Las Vegas, the return of Glitter Gulch, Oyo's pretty new paint and vintage 3D printed Vegas signs you definitely have to see. Episode Guide: 0:00 Amazing 3D printed vintage Vegas signs 1:08 Oyo's pool gets a cool fresh paint job 2:22 Pahrump as a budget alternative to Vegas? 3:51 Atomic Golf finally opens at Strat 6:02 Food Roundup - Volcano combo pizza 6:48 Abel's Bagels - Best bagel in Vegas? 7:18 Panino for amazing Italian Sandwiches 7:47 Glitter Gulch returning to Downtown Las Vegas 8:57 Gold Coast announces major hotel room renovations 10:08 Circa Sports expands again - Silverton's new book now open 11:37 The sports book boom in Vegas 12:41 Focus on sports betting and problem gambling in the wake of March Madness 13:50 2023 Las Vegas Visitor Profile Study - Are people satisfied? 15:22 Who is visiting Las Vegas - Interesting demographics 17:00 How many Vegas visitors came for Sports & how much they spent 17:45 Downtown Las Vegas - How visitors view it & how many go 19:00 Vegas visitor gaming stats - More people gambling & bigger budgets 20:46 Family travel in Vegas - Making a comeback? About the Show: Each week tens of thousands of people tune into our MtM Vegas news shows at http://www.YouTube.com/milestomemories. We do two news shows weekly on YouTube with this being the audio version. Never miss out on the latest happenings in and around Las Vegas! Enjoying the podcast? Please consider leaving us a positive review on your favorite podcast platform! You can also connect with us anytime at podcast@milestomemories.com.  You can subscribe on Apple Podcasts, Google Podcasts, Spotify or by searching "MtM Vegas" or "Miles to Memories" in your favorite podcast app. Don't forget to check out our travel/miles/points podcast as well!

Morbido. Un nome che è tutto un programma. Fa subito venire in mente un bel panino da addentare. Ma anche l'idea di comfort, di anti-stress, di delicatezza, non solo nel cibo ma anche nel modo di approcciarsi alle cose. Alla vita. Perché Morbido è un vero e proprio state of mind. Meno corsa e più ricerca. Meno foodporn e più qualità, con grandi materie prime e fornitori di quartiere. Siamo a Roma, nel cuore del quartiere Appio Claudio, a due passi dal bellissimo Parco degli Acquedotti, uno dei polmoni verdi della città. Qui sorge Morbido, l'hamburgeria di quartiere aperta nel settembre 2019, che col tempo è riuscita a conquistare tutta la città. L'inizio senza dubbio è stato complicato, con l'arrivo della pandemia e dei vari lockdown, ma le grandi idee e la forza di volontà hanno fatto la differenza, e oggi possiamo dire che quello di Morbido è senza dubbio uno dei migliori burger di Roma.

On Today's Menu: Can Sam, The Baron of Bavette's, get through an entire show without talking about Bavette's? Answer: no. Our preferred non-alcoholic beverages John's most frequented restaurants last year (besides 1228 Main) John's strategy when ordering at restaurants Ash's Fontainebleau croissant crawl & other good Vegas spots to grab a croissant All'Antico Vinaio vs. Panino… which sammy slays? Shots were FIRED on X over Wasabi… Sushi Bro Sam dukes it out with John Food News You Can Use: Is a Barcelona breakdown coming soon on eatinglv.com? Esther's Kitchen's new spot opening on March 7 Two new Hot Pot Restaurants to open in Resorts World Wineaux at the UnCommons opens Saturday (by Shawn McClain from Balla Italian Soul) Ash got the inside scoop on Monzù since Dave Portnoy's pizza review Recent Ventures & Spots Mentioned: Esther's Kitchen IZAKAYA GO (John's go-to in Chinatown) Café Cutó Chez Bon Bon Cafe Breizh Burgundy Cafe & Bakery Vesta Coffee Roasters Osteria Fiorella All'Antico Vinaio (the Pinkberry of sandwich shops) Panino on Decatur - INCREDIBLE Via Focaccia at Ellis Island Kaiseki Yuzu SoulBelly BBQ Milpa LV Mexican Cafe Peppermill Las Vegas Palette Tea Lounge Irv's Burgers Whataburger at Waldorf Astoria Pro Tip: if Bavette's Steakhouse & Bar is full, go to Side Betty Grill because they share a kitchen Thanks for tuning into today's episode! If you enjoyed this episode, subscribe to the show, & make sure you leave us a 5-star review. Visit us at ⁠⁠⁠⁠⁠⁠Eating Las Vegas⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠Eat. Talk. Repeat.⁠⁠⁠⁠⁠⁠ Email us at ⁠⁠cheers@eattalkrepeat.com⁠⁠.  Follow us on social: Twitter: ⁠⁠⁠⁠⁠⁠@EatTalkRepeat⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠@EatingLasVegas⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠@WhatsRightSam⁠⁠⁠⁠⁠⁠, & ⁠⁠⁠⁠⁠⁠@AshTheAttorney⁠⁠⁠⁠⁠⁠ Instagram: ⁠⁠⁠⁠⁠⁠@EatTalkRepeatLV⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠@JohnCurtas⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠@WhatsRightSam⁠⁠⁠⁠⁠⁠, & ⁠⁠⁠⁠⁠⁠@AshTheAttorney

Das Bier brachte den Neuseeländer Merlin Monagan nach Deutschland. Er lernte bei Alexander Himburg, erlebte den Aufbruch der Craftbeerszene – und wagt heute bei der Astra St. Pauli Brauerei schräge Experimente am Braukessel. Wer braut schon Bier mit Fußballrasen? Na Merlin. Anarchie am Sudkessel: Merlin Monagan braut Biere mit Goldglitter oder echtem Rasen. Den Begriff Kreativbier reizt er aus. Das Überraschende: Die Biere schmecken. Wobei: Wer den Neuseeländer und seine Biere kennt, weiß, dass das gar nicht so überraschend ist. Merlin Monegan hat ein Händchen für Braukunst. Sein Inkasso IPA zum Beispiel gewann die Goldmedaille beim International Craft Beer Award 2021. Das Bier trinken wir in dieser Folge. Außerdem haben wir sein Fichten Fiete im Glas. Ein hazy IPA mit Fichtennadeln, der leckerste Saunaaufguss, den man trinken kann. In dieser Folge erfahrt ihr, warum Merlin unbedingt in Deutschland zum Brauer ausgebildet werden wollte. Ihr hört, wie er vor rund zehn Jahren ausgerechnet beim legendären Alexander Himburg gelandet ist, einem der großen Brauer der aufstrebenden deutschen Kreativbierszene. Er verrät uns mehr über seinen Job als Headbrewer bei der Astra St. Pauli Brauerei und wie er dort gemeinsam mit Marketingleiterin Iris Eickert an mutigen Bieren tüftelt. Spätestens seit dieser Folge sind wir Merlin-Fans. Und wir sind ziemlich sicher, dass ihr es nach dem Hören auch sein werdet. Verkostete Biere - Pacific Ale, Störtebeker - Inkasso IPA, Astra St. Pauli Brauerei - Fichten Fiete, Astra St. Pauli Brauerei - Irish Red, Maisel & Friends - Lütte Höög Termine -Thomas Lang, Bierkrimi-Lesung: 18.03.24 Stuttgarter Kriminächte in der Jakobstube in der Jakobstrasse & 16.03.2024 Pretzfeld / Franken - Eröffnung Le Big TamTam, Hanseviertel, Ende Februar - Mittwochs: Birra e Lasagna, Donnerstags Vino & Panino, Malto, Hamburg - 8.-12.03.24, Internorga, Hamburg - 7.-8.06.24, Hamburg Beer Festival, Altes Mädchen, Hamburg4 - 20.04.24, Beer Tasting Challenge München - 2.3.24, Landgang Jam Session, Hamburg - 9.3.24, Landgang 90er u. 2000er Dance Party, Hamburg - 15.3.24, Pubquiz mit Mitti, Landgang, Hamburg - 07.03.24, Biertasting x Konzert Jan Salander, Wildwuchs, Hamburg - 31.5.-01.06.24, Superfreundefest, House of Superfreunde, Norderstedt - 01.03.24, Anzapfen in der Brauerei, Rotes Pony, Augsburg - 26.3.24, Galopper Eimsbüttel Quiz Night mit Loius, Hamburg - 25.5.24, Brauhaus Nolte Lüneburg Bierfest Nr 7, Lüneburg - 08.03.24, Baby Goat Barn Tap Takeover BillBrew, Hamburg - 2.03.24, Memberevent im House of Superfreunde, Norderstedt HHopcast ist ein Original Podcast von Sounds and Pods Hamburg. Der nächste Podcast erscheint am 29.03. 2023 Alle Termine auch unter HHopcast.de Kontakt Mail: cheers@hhopcast.de Unterstützt uns auf Steady! Hier könnt Ihr auch unseren kostenfreien Newsletter abonnieren und noch mehr Bierstorys lesen. https://steadyhq.com/de/hhopcast-der-craft-beer-podcast/about

Il feedback è un concetto fondamentale della comunicazione, dell'apprendimento e di tutta la psicologia. Per questo abbiamo fatto un sacco di studi ed esistono tecniche potenti che vengono insegnate da anni, tra le quali quella del PANINO. Nuove ricerche indicano che queste tecniche sono OBSOLETE e ci mostrano come farlo molto meglio e con molto meno sforzo. Buon ascolto e approfondimento, mi raccomando leggi anche il Post se ti è piaciuta la puntata. Clicca qui per approfondire: (link attivo dalle 5:00 AM del 05/02/24) https://psinel.com/la-scienza-del-feedback-perche-il-panino-non-funziona-piu/Sei Psicologa/o? Stiamo creando una squadra di professionisti partecipa al Sondaggio https://newmanspirit.typeform.com/to/cq3TyGC1Mindfitness è il nostro percorso gratuito per sviluppare il legame tra energia mentale e fisica. L'ho fatto insieme ad un grande professinista il dott. Valerio Rosso (medico psichiatra). Iscriviti gratis cliccando quiSe ti piace il podcast adorerai il mio Nuovo libro: “Restare in piedi in mezzo alle Onde - Manuale di gestione delle emozioni”... https://amzn.eu/d/1grjAUS- Vuoi Imparare a Meditare? Scarica Gratis Clarity: https://clarityapp.it/- Instagram: https://www.instagram.com/gennaro_romagnoli/- Test sull'Ansia: https://psinel.com/test-ansia-ig-pd/I NOSTRI CORSI:- Dall'Ansia alla Serenità: https://psinel.com/ansia-serenita-sp/- Emotional Freedom: https://psinel.com/emotional-freedom-sp/- Self-Kindness: https://psinel.com/self-kindness-sp/- MMA (Master in Meditazione Avanzata): https://psinel.com/master-meditazione-avanzata-sp/- Scrivi la Tua Storia: https://psinel.com/scrivi-la-tua-storia-sp/- Self-Love: https://psinel.com/self-love-sp/Credits (traccia audio): https://www.bensound.com

Nel podcast di oggi parliamo di due settori molto diversi tra loro: il lusso e il farmaceutico. C'è però qualcosa che li accomuna: la selezione dei titoli azionari.In questi ultimi anni e sopratutto nel 2023 in entrambi questi settori ci sono stati titoli azionari che sono andati molto bene con numeri da record e in altri casi alcune società hanno sofferto particolarmente in Borsa. Anche se un settore può essere in trend positivo avere una strategia di selezione dei titoli potrebbe evitare di prendere delle cantonate.

Intervista ad Antonio Civita, Presidente dell'Accademia del Panino Italiano. giovannicertoma.it Copertina: Peppe Denaro Sigla: Mara Rechichi (Voce) | Carmelo Coglitore (Musica - "Blues in five") Musica di sottofondo: Carmelo Coglitore (Musica - "Blues in five") --- Send in a voice message: https://podcasters.spotify.com/pod/show/giovanni-certom/message

Ripresi dalle infinite cibarie ingollate nelle vacanze natalizie, vi raccontiamo cosa abbiamo giocato durante questa breve pausa. Cosa avete giocato in queste settimane? UNISCITI ALLA COMMUNITY ❤️ https://t.me/MustacchiChat TUTTI I NOSTRI LINK

Your favorite sister duo discusses the history of Boston, what to do there, where to eat, where to stay, day trips to plan, and even a travel hacking tip on how to get to Boston for (almost) free!Boston Favorites:Activities - Freedom Trail, Boston Common, Red Sox game at Fenway Park, Harvard campus, Charles River Esplanade, Museum of Fine Arts, Institute of Contemporary ArtFood - Lobster roll at James Hook Lobster, seafood at Saltie Girl, Italian at Trattoria il Panino, brunch at Contessa, quick breakfast at Tatte BakeryWhere to stay - Omni Parker House HotelDay Trip - Cape Cod, Martha's Vineyard, NantucketTravel Credit Card - Delta SkyMiles Platinum American Express For all of the Love It There content: Visit our Website!Follow Love It There Podcast on Instagram: @loveittherepodPrefer video podcasts? Watch on YouTube! Hosted on Acast. See acast.com/privacy for more information.

AUGUSTO Contract, hospitality & foodservice general contractor che opera in Italia e all'estero con un'expertise distintiva nella realizzazione “chiavi in mano” di arredamento per la ristorazione, approda anche in Merlata Bloom Milano, l'innovativo life style center dal cuore verde inaugurato lo scorso 15 novembre tra l'ex area Expo e Cascina Merlata. La specializzazione di AUGUSTO Contract nel settore del food retail, unita all'eccezionale flessibilità produttiva e alla capacità di lavorare in contesti ad elevata complessità tipica dei centri commerciali, ne hanno fatto l'interlocutore ideale. Sono stati firmati così due nuovi locali che sanciscono la partnership storica con le insegne di PANINO GIUSTO e ROSSOPOMODORO.

Lenny Rago has been working in professional kitchens since he was 14. Now in his 50s, the Chicago native has built Panino's into a pizza powerhouse, creating nearly a half dozen types of pie at three different locations. We met up with him at his Evanston location, where he showed off a classic Chicago tavern style, as well as a preview of his deep-dish, which will be launching in the new year. --- Support this podcast: https://podcasters.spotify.com/pod/show/pizzacity/support

Il 21 novembre si celebra la Giornata Mondiale del Panino Italiano. Un grande classico del nostro Paese che ha conquistato sempre più culture. Fragrante o morbido, dalle versioni più semplici a quelle più elaborate e gourmet, il panino all'italiana è “democratico”: pratico, facile e veloce da preparare e da mangiare, comodo da portare con sé fuori casa, in ufficio, a scuola, in viaggio, è anche una soluzione economica. Secondo un'indagine condotta da AstraRicerche, se la quasi totalità dei nostri connazionali (98%) lo consuma occasionalmente, oltre il 65% gusta un panino almeno una volta a settimana e quasi un italiano su due lo sceglie in pausa pranzo fuori casa. Il Consorzio di Tutela Bresaola della Valtellina propone cinque panini protagonisti di “Destinazione Bresaola” e i consigli del nutrizionista Emilio Buono per il panino perfetto, gustoso e nutrizionalmente bilanciato.

In Australia the humble sandwich is part and parcel of many diets. But when it comes to sandwiches Italy's panino and its many iterations are hard to beat. For Peter Mastro, the vision of his Panino bar began as a child. https://www.saluministi.com.au/ Follow The Crackling https://www.instagram.com/thecracklingpodcast/ Follow Huck https://www.instagram.com/huckstergram/ Follow Rob Locke (Executive Producer) https://www.instagram.com/foodwinedine/ Follow PorkStar https://www.instagram.com/porkstars/?hl=en https://www.porkstar.com.au LISTEN TO OUR OTHER FOOD PODCASTS https://linktr.ee/DeepintheWeedsNetwork

In Australia the humble sandwich is part and parcel of many diets. But when it comes to sandwiches Italy's panino and its many iterations are hard to beat. For Peter Mastro, the vision of his Panino bar began as a child. https://www.saluministi.com.au/ Follow The Crackling https://www.instagram.com/thecracklingpodcast/ Follow Huck https://www.instagram.com/huckstergram/ Follow Rob Locke (Executive Producer) https://www.instagram.com/foodwinedine/ Follow PorkStar https://www.instagram.com/porkstars/?hl=en https://www.porkstar.com.au LISTEN TO OUR OTHER FOOD PODCASTS https://linktr.ee/DeepintheWeedsNetwork

De Santis, il panino di Milano dal 1964 lancia la sua prima linea di gin artigianali, portando l'arte della mixology nel proprio universo gastronomico. L'ampliamento dell'offerta segna un nuovo capitolo nell'evoluzione del marchio, costruito su una solida tradizione di qualità e dedizione al mondo del food. Adesso, questa stessa passione per la ricerca dell'eccellenza si estende alla miscelzione con il lancio di De Santis London Dry Gin, De Santis Distilled Gin XO e De Santis L'Amaro. La complessità e la varietà delle note botaniche presenti nei gin invitano gli ospiti a esplorare un nuovo mondo di sapori, creando un'esperienza di aperitivo completa ed esclusiva, in abbinamento ai panini gastronomici. Questi gin, prodotti su ricetta De Santis da Trip Distillery, sono un omaggio all'autentica artigianalità milanese che ha fatto il successo del brand, un successo che dura da oltre mezzo secolo.

Guardalo: https://youtu.be/kMKfixz9eP4?si=0eZCAS96UhXOwpJj Nell'Introduzione di questo mese parlo di miglioramento personale, intelligenza emotiva e gestione delle relazioni. Sottolineo l'importanza di un atteggiamento mentale positivo e responsabile. Presento il concetto (che ho portato in Italia per primo) del "panino di merda" come strumento per favorire una buona comunicazione. Capitoli 0:00:01 L'atteggiamento mentale per migliorare le relazioni 0:03:20 Gli errori da evitare nel percorso di miglioramento personale 0:07:12 La qualità delle relazioni come base per il benessere globale 0:08:30 Strategie a lungo termine vs tattiche a breve termine 0:09:15 Il potere di aiutare gli altri e semplificare le relazioni PORCAST #277 YouTube

Wie schon beim letzten Staffelfinale, begeben wir uns auch diesmal wieder mit dem Finger auf der Google-Maps-Karte auf eine philosophische Sommerreise. Wir beginnen im Örtchen Arquà Petrarca, wo – wer hätte es gedacht – der Dichter Francesco Petrarca starb. Dann ab auf die A1, an Bologna und Florenz vorbei, auf einen Panino in Mentana, das mal Nomentum hieß und wo Seneca freiwillig unfreiwillig aus dem Leben dekretiert wurde. Auf dem Campo de' Fiori inmitten Roms, wo es bestimmt einen Parkplatz gibt, schauen wir Giordano Bruno beim Verewigtsein zu. In Ascea aka. Elea machen wir Pause in Italiens unterschätztester Region. Ganz am Schluss stehen wir in Agrigent auf Sizilien, und dann ist da nur noch Meer, und der Blick geht in die Ferne Richtung Horizont, wo zwei Podcastvögel in die Sommerpause ziehen. Musik: Albert Campbell & Henry Burr, »On the shores of Italy« (CC BY-NC 3.0 US) Mehr Infos wie immer auf hallo-ernstfall.de

D'Amico, in collaborazione con 50 Top Italy, riparte con la terza edizione del contest “Veggie Style – L'Altra Faccia del Panino”, il progetto che nasce con l'idea di valorizzare l'ingrediente in tutte le sue possibilità creative e di gusto, attraverso gli occhi dei giovani talenti, in una visione consapevole e sostenibile dell'alimentazione.Vera e propria rivoluzione del sistema alimentare, il panino è diventato simbolo del cambiamento nel mondo culinario. Se prima era considerato un pasto fast e easy, con un'attenzione più all'aspetto pratico che alla qualità, negli ultimi anni si è assistito a una sua evoluzione, sia nella qualità che nel gusto. Le ricette golose sono diventate anche leggere e salutari ed è sempre più frequente l'utilizzo di prodotti vegetali che, grazie alla loro varietà e versatilità, si adattano bene a realizzare preparazioni sane ma gustose, in grado di appagare allo stesso tempo la vista e il palato.

De Santis il panino di Milano dal 1964 arriva a Roma. Nel cuore della capitale, all'interno della food hall di Rinascente di Via del Tritone 61, tempio dello shopping romano, De Santis propone una pausa gourmet a base di panino. Un percorso che inizia quando i coniugi Renzo e Dina De Santis ebbero l'intuizione di aprire il primo locale nel 1964 in corso Magenta 9 nel capoluogo meneghino, per proporre una formula innovativa per il periodo: il pasto veloce. Intuiscono che un buon panino può essere il pranzo ideale e i risultati non tardano ad arrivare. Oggi De Santis conta quattro punti vendita a Milano, a conferma di un successo che dura da oltre mezzo secolo che ha raccontato i costumi, i cambiamenti, i gusti, gli umori. Le ricette nascono da una creatività che trae ispirazione dai desideri delle persone e dalla ricerca degli ingredienti più genuini.Il menu è molto ricco e si compone di 35 panini, oltre a 4 vegetariani/vegani, per un totale di 39 proposte. Completano la carta i piatti di carne, pesce, insalate e ovviamente i dolci, senza dimenticare i cocktail e i vini.Tra le ultime novità: Giardiniera (Prosciutto cotto, fontina DOP, giardiniera), Velasca (Roast-beef, fontina DOP, funghi porcini, crema al tartufo, limone, pepe), Foresta (prosciutto di cinghiale, funghi porcini, rucola, crema al tartufo, limone, pepe), Favignana (Gamberi rosa crudi del Mediterraneo, cuori di lattuga, caprino di latte vaccino al vino bianco, salsa rosa, limone, pepe) e Bologna (Mortadella al pistacchio, gorgonzola, confettura di peperoni).

Si chiama “Sanpa” ed è il nuovo panino ideato da De Santis, in collaborazione con San Patrignano. Il formaggio Mucchino e la pancetta sono le due eccellenze prodotte dalla comunità, che farciscono la proposta gourmet arricchita con crema al tartufo bianco e pepe nero.Mucchino nasce nel 2004 dal latte proveniente dall'allevamento della comunità; è un formaggio di media stagionatura dalla pasta uniforme e compatta, di consistenza morbida. Prodotto con latte vaccino intero, leggermente aromatico, ha un sapore dolce con un leggero tono acidulo. Perfetto per essere affettato e fonde all'interno del panino. La pancetta è stagionata per circa otto mesi in ambienti naturali. Viene salata a secco utilizzando una miscela di sale, pepe e spezie e legata a mano.“La collaborazione con San Patrignano nasce da una condivisione profonda di intenti. È una realtà che conosciamo da sempre e ne apprezziamo, da un lato, il lavoro che svolge nei confronti dei ragazzi e, dall'altro, ammiriamo tutto quello che al suo interno viene realizzato. Ci accomuna l'attitudine a ricercare solo l'eccellenza e la volontà di produrre il meglio. Considero De Santis un ambasciatore del Made in Italy e per sostenere questa nostra vocazione scegliamo partner, come in questo caso San Patrignano, che ci danno le migliori materie prime, che ci ispirano continuamente consentendoci di innovare e proporre ricette sempre nuove e in linea con i gusti del momento. Mi auguro che “Sanpa” sia il primo di una serie di nuovi panini”. afferma Luca Monica, Amministratore Delegato di De Santis.

Alessandro Frassica è il proprietario di Ino Panino di Firenze, dove serve quello che viene da lui stesso definito come un panino d'autore. Da qualche anno, Alessandro gira il mondo per portare questa sua filosofia alimentare.

In Sicilia lo chiamano pani câ meusa, ed è una vera delizia, secondo gli intenditori. Ecco un'anticipazione.

When his career in the music industry was put on hold indefinitely thanks to the covid-19 pandemic, Dom Ruggeri (Dom Panino) found inspiration from his grand mothers cooking. Keen to find stability and a source of income he started a paninotecca that championed the humble panini, his grandmothers recipes, and food he enjoyed while travelling the world through music.https://www.dompanino.com.auFollow Deep In The Weeds on Instagram https://www.instagram.com/deepintheweedspodcast/?hl=enFollow Huckhttps://www.instagram.com/huckstergram/Follow Rob Locke (Executive Producer)https://www.instagram.com/foodwinedine/LISTEN TO OUR OTHER FOOD PODCASTShttps://linktr.ee/DeepintheWeedsNetwork

Sandwich è una contea inglese governata dal Conte John Montagu, uomo di mondo col vizio del gioco. Proprio al suo stile di vita sembra legarsi la nascita del sandwich, spuntino per eccellenza che in Italia diventa tramezzino grazie a Angela Demichelis Nebiolo e Gabriele D'Annunzio

Apreciando os sabores dos sanduíches da cidade, Patrícia Ferraz fala sobre as opções disponíveis no Maialino Panino, um restaurante italiano, com produtos totalmente artesanais e que funciona via Delivery.  See omnystudio.com/listener for privacy information.