Podcasts about Clever

Did you know this?Dave was joined by UB40 frontman Ali Campbell to chat about their Big Love Tour.They will play TF Castlebar on November 27th and 3Arena on November 29th.

Great Marketing Isn't About Being Clever. It's About Being Understood. One of the biggest mistakes marketers make is chasing creativity for creativity's sake. A clever campaign might win awards, but if it doesn't help customers understand why they should buy, it misses the mark. That was the heart of my conversation with Scott Flood, a veteran copywriter who has spent decades helping companies communicate complex ideas in ways that drive results. Whether you're selling snacks, software, or something that costs a quarter of a million dollars, the goal is the same. Your marketing needs to connect with the right audience and give them what they need to make a decision. What I Took Away from the Conversation Clarity beats cleverness in complex sales. When buyers are making big decisions, they aren't looking for entertainment. They need information they can trust and share with others involved in the buying process. Creativity isn't the same as being funny. Scott made a great point. Real creativity is finding the best way to capture attention, hold interest, and make your message memorable. Sometimes that includes humor. Sometimes it doesn't. Constraints can actually make you more creative. Whether you're working within brand guidelines or industry expectations, limitations often help focus your thinking. Instead of worrying about endless options, you can put your energy into solving the real communication challenge. Even technical buyers are still human beings. Engineers, attorneys, contractors, and executives all make decisions with a mix of logic and emotion. The best marketing speaks to both. You can't understand customers from behind a screen. One of my favorite moments in the conversation was our discussion about getting out and talking to real people. Customer avatars and AI-generated profiles can be useful, but nothing replaces listening to customers explain their challenges in their own words. The best marketing answers practical questions. Customers want to know how you'll help them make money, save time, avoid problems, or improve results. Focus there first, and the creative execution becomes much easier. My biggest takeaway? Before you spend time making your marketing more clever, make sure it's more useful. That's what customers remember, and that's what drives results. Sometimes the most creative thing you can do is simply understand your customer better.

It's Clever's 10th anniversary! We're celebrating by honoring some of the amazing stories we've collected over the years. Jay has continued to make meaningful contributions to the world since this conversation, and we have updates. Be sure to subscribe to our Substack & social (IG & LI) to catch up on Jay's recent news!Clever Ep. 163: Industrial designer and founding partner of Barber Osgerby, Jay Osgerby, grew up in a small town in England, with his close-knit multi-generational family and the backdrop of his grandparents' experiences through WWII. His childhood was filled with making things - inspired by his Swiss ancestors' stories of watch and camera making. His parents were incredibly resourceful, whether it was opening a shop together or repurposing curtains when the local cinema closed. This pioneering spirit is something that Jay has carried with him throughout his career - from his studies at RCA where he met long-time business partner and friend, Ed Barber, to designing the 2012 Olympic Torch, to revolutionizing how people work remotely with Soft Work seating. Now, 25+ years into design, Jay reveals the triumphs and tragedies that lined his path and forged his character with candor, humor, and an unflagging optimism that burns bright and steady like the inextinguishable flame of the Olympic Torch.Images, links and more from Jay Osgerby!Clever is hosted & produced by Amy Devers, with editing by Mark Zurawinski, production assistance from Ilana Nevins and Anouchka Stephan, and music by El Ten Eleven.SUBSCRIBE - listen to Clever on any podcast app!SIGN UP - for our Substack for news, bonus content, new episode alertsVISIT - cleverpodcast.com for transcripts, images, and 200+ more episodesSAY HI! - on Instagram & LinkedIn @cleverpodcast @amydeversSpecial thanks to our sponsors!Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Join us for Emerging Designers Spotlight LIVE, Sunday May 17, 4pm on the Main Stage at ICFF NYC. Register to attend for free with code: MISKGENSPK Hosted on Acast. See acast.com/privacy for more information.

Send voice or text msgThree goat siblings set off on a quest to reach the hill with the healthiest snacks when they butt heads with a very hangry troll. Are they fit for the challenge? Will it take brains or brawn to beat the troll and cross the bridge? Each goat must use their own special strengths to outsmart the greedy troll and protect one another. Clever tricks, sibling teamwork, and one very surprised flying troll will leave you rolling in clover.This reimagined story of the Norwegian fairytale, Three Billy Goats Gruff, is a Dorktales Classic.Episode webpage: https://jonincharacter.com/three-billy-goats-buff/DOWNLOAD FUNSHEET/COLOR PAGE: https://bit.ly/dorktales18funsheet GRAB YOUR FREE PDF list of conversation questions for this episode: https://dorktalesstorytime.aweb.page/ep18freePDF PARENTS, TEACHERS AND HOMESCHOOLERS: In this playful retelling of “The Three Billy Goats Gruff,” kids explore how problem-solving can take many forms. Each goat sibling uses a different strength to face a hangry troll, showing that intelligence, creative and strategic thinking, and physical strength all have value. The story also encourages self-confidence, healthy habits, perseverance, and recognizing that everyone approaches challenges differently.IF YOU ENJOYED THIS STORY about a retelling of a favorite fairytale, we think you'll also enjoy episode 9, The Boy Who Cried Hedgewolf: https://jonincharacter.com/boy-who-cried-hedgewolf/ CREDITS: This episode is a Jonincharacter production. It was written by Amy Thompson, produced by Molly Murphy and performed by Jonathan Cormur. Sound recording and production by Jermaine Hamilton at Pacific Grove Soundworks.Support the showREACH OUT!Send us a TEXT:  if your young listener has a question. Pls include their first name in the text. Your name/number is hidden so it's a safe way to reach out. Leave Voicemail: https://www.buzzsprout.com/1267991/fan_mail/newSend us an email: dorktalesstorytime@gmail.comDM us on IG @dorktalesstorytimeLibrary of Resources: https://dorktalesstorytime.aweb.page/Dorktales-Library-CardSupport Us: https://www.buzzsprout.com/1267991/supporters/new Our Pod's Songs: https://dorktalesstorytime.bandcamp.com/musicNow, go be the hero of your own story and we'll see you next once-upon-a-time!

This week on Afternoons we've been celebrating New Zealanders doing extraordinary things in science by speaking with all the finalists for the 'Lifetime Achievement award' at the 'Science New Zealand Awards' So far we've heard from volcanologist Brad Scott, and marine ecologist Dr Rob Murdoch Today Jesse is joined by Dr Peter Johnston, a mycologist who has spent 50 years discovering and naming fungi. His research has helped protect New Zealand's wine and avocado industries, and even in retirement he's still at it, working his way through boxes of unnamed specimens collected over the past five decades.

Star Wars: The Mandalorian and Grogu arrives to Irish cinemas on Fri 22nd May.Actor and Director Jon Favreau joined Dave for a chat about 'Star Wars: The Mandalorian and Grogu'

We are still riding the high of last weeks episode trying to figure out who sent us a box of stuff from Buffalo. Hilary Duff drops a sports illustrated photoshoot, hot Dr. Pepper is disgusting and They Boys Josh Dubs and Mully Open another pack of our trading cards. Ryan has an embarrassing secret to expose and the auto blow is creating jealousy. All this and so much more on episode 528 of Clever Name PodcastBUY TRADING CARDS: https://0www.paypal.com/ncp/payment/SH9WJ5V6EJ8UQFULL SHOW: https://www.clevernamepodcast.com/LIVE SHOW: https://www.live.clevernamepodcast.com/MESSAGE TO PLAY DURING SHOW: https://streamlabs.com/clevernamepodcast/tipINSTAGRAM: https://www.instagram.com/clevernamepodcast/?hl=enDISCORD: https://discord.gg/m4USkdA7wAALL OTHER SHOWS: https://www.podcastsaregay.com/SEND STUFF TO PO BOX: PO Box 20016Orillia, ON, L3V7X9 CANADA

It's Clever's 10th anniversary! We're celebrating by honoring and revisiting some of the amazing stories we've collected over the years. Our guests have continued to make meaningful contributions to the world since we had our initial conversations, be sure to subscribe to our Substack & social (IG & LI) to catch up on some of their recent news!Michael Ford is the designer and activist known as The Hip Hop Architect. Born in Highland Park, Michigan the son of a minister, Michael was raised to be inquisitive and question the world around him to find deeper truth. Early on, he found his passion for design and music, expanding it into a practice of architecture and design through the lens of Hip Hop culture. This led to his founding of The Hip Hop Architecture Camp®, a camp that positions Hip Hop Culture as a catalyst to introduce architecture and design to underrepresented youth. He's also working with some of Hip Hop's greatest names as he leads the design of The Universal Hip Hop Museum in The Bronx. Images and more from Michael Ford on our website!Clever is hosted & produced by Amy Devers, with editing by Mark Zurawinski, production assistance from Ilana Nevins and Anouchka Stephan, and music by El Ten Eleven.SUBSCRIBE - listen to Clever on any podcast app!SIGN UP - for our Substack for news, bonus content, new episode alertsVISIT - cleverpodcast.com for transcripts, images, and 200+ more episodesSAY HI! - on Instagram & LinkedIn @cleverpodcast @amydeversSpecial thanks to our sponsors!Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Join us for Emerging Designers Spotlight LIVE, Sunday May 17, 4pm on the Main Stage at ICFF NYC. Register to attend for free with code: MISKGENSPK Hosted on Acast. See acast.com/privacy for more information.

Another episode, another new camera to talk about - the good times are indeed rolling for us analogue photography lovers!   Joining us this week to talk about the Alfie Boxx is Dave Faulkner from Alfie Cameras. They've just launched a Kickstarter for the Boxx camera and you should check it out!   https://www.kickstarter.com/projects/davefaulkner/alfie-boxx-camera https://www.35mmc.com/19/05/2026/alfie-boxx-mini-review-a-wonderful-and-truly-analogue-experience-launched-today-on-kickstarter/  

Musician Charlie Puth feels blank about being Conan O'Brien's friend.   Charlie sits down with Conan to discuss his worldwide tour for his latest album Whatever's Clever!, how to change the energy of a room with a single sound, why musicians who make it all about themselves are the first to fall, and more.   For Conan videos, tour dates and more visit TeamCoco.com. Got a question for Conan? Call our voicemail: (669) 587-2847. Get access to all the podcasts you love, music channels and radio shows with the SiriusXM App! Get 3 months free using this show link: https://siriusxm.com/conan. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

War erupted on this episode! A mum called Ciara is heartbroken after her daughter finishes 5th year and drops a bombshell: she doesn't want to do the Leaving Cert… she wants to do a nails course instead! Ciara says her daughter is too intelligent for it and fears she's “throwing her life away” when she could've gone to UCD to study psychology.

Tune in every Monday at 08:15 AM on the HFM Breakfast Show for Taal Toffies with Dr Willem Botha, former Editor-in-Chief of the Woordeboek van die Afrikaanse Taal (WAT). It's a fun, bite-sized taal treat where Dr Willem unpacks an Afrikaans word or phrase — what it means, where it comes from, and how we use it in everyday life. Clever, quirky, and guaranteed to add a little taal-flavour to your Monday morning!

Special discounts up for AIE Melbourne (LS discount) and AIE World's Fair (group discounts up to 25% - CFPs still open for Autoresearch and Vertical AI) Cya there!Abridge did not start as an “GPT wrapper”. It was founded in 2018, years before the Cambrian explosion of AI application layer companies. OpenAI launched ChatGPT publicly on November 30, 2022 and by then, Abridge had already spent years doing the unglamorous work of building trust for one of the highest context, most important workflows in healthcare: the conversation between a patient and a clinician.Abridge's original wedge was clinical documentation. Listen to the visit, generate the note, reduce the clerical burden, and let clinicians spend more time with patients instead of the EHR. By focusing on how doctors actually document, how health systems actually buy, how EHR integration actually works, how clinicians verify outputs, and how missing context during a visit turns into downstream friction across billing, prior authorization, quality, and follow-up, the adoption of LLMs became a force multiplier on a workflow already optimized for sensitive context gathering.The company has scaled fast: Abridge says it is projected to support 80M+ patient-clinician conversations this year across 250 large and complex U.S. health systems, with support for 28+ languages and 50+ specialties. It raised $300M at a $5.3B valuation in June 2025, after a $250M round earlier that year.Today, Janie Lee and Chaitanya “Chai” Asawa of Abridge join us for another crossover pod with Redpoint's Jacob Effron (who is on the board of Abridge) to dive into how Abridge is building the clinical intelligence layer for healthcare starting with ambient documentation, then expanding into clinical decision support, prior authorization, payer/provider/pharma workflows, and eventually real-time agents that act before, during, and after the patient conversation. We go inside the product, data, infra, evals, workflow, privacy, and org design choices behind bringing AI into one of the highest-stakes enterprise environments from 100M+ medical conversations and specialty-specific evals to real-time alerts, EHR integration, de-identification, clinician-scientist teams, and why healthcare may solve some of the hardest AI problems first.We discuss:* Why Abridge started with clinical documentation, “pajama time,” and saving clinicians 10–20 hours a week* The transition from ambient scribe to clinical intelligence layer: save time, save money, and save lives* Why conversations between patients and clinicians may be the most important workflow in healthcare (patient visit summary feature)* Chai's “healthcare-coded Glean” framing: context is king, but healthcare raises the stakes on safety, evals, and rollout* Why Abridge wants AI to feel like “air conditioning”: always in the background, but only interrupting when it truly matters* The prior authorization example: turning a denied MRI weeks later into real-time guidance while the patient is still in the room* Why payer policies, EHR data, medical literature, and hospital-specific guidelines make the problem hard, and also create the moat* How Abridge thinks about ambient form factors: mobile, desktop, in-room devices, nursing workflows, multimodality, and future AR* The multi-sided healthcare customer: CMIOs, CFOs, CIOs, clinicians, patients, payers, and pharma* The hardest AI problem at Abridge: high-quality, low-latency, low-cost real-time support in a high-stakes clinical setting* When Abridge uses frontier models vs proprietary models, and why its unique data from medical conversations matters* Why “every agent is a coding agent underneath,” and how the EHR can be thought of as a filesystem for healthcare agents* How Abridge approaches personalization across individual doctors, specialties, and health systems* Why “AI slop” is AI without context, and how edits, memories, and clinician preferences create a data flywheel* Abridge's eval stack: LFDs, LLM judges, in-house clinicians, third-party evaluators, specialty-specific evals, and progressive rollout* HIPAA, PHI, de-identification, one-way anonymization, customer contracts, and learning from healthcare data safely* What changes when you operate at 100M+ conversations: reliability, cost, post-training, model routing, and infrastructure optimization* Why the same clinical conversation can serve doctors, patients, payers, pharma, and future clinical-trial workflows* How Abridge works with EHRs, and why deep interoperability is table stakes for clinician adoption* Why healthcare AI has regulatory tailwinds, why 80/20 does not work here, and why high-stakes domains may drive AI forward* Why Abridge embeds “clinician scientists” into product and eval teams* What Chai learned from Glean about search, quality, and durable AI infrastructure* Why the future of AI infra may look like context layers, event-driven systems, Kafka, Temporal, sockets, CRDTs, and tools built for humans* Why Janie changed her mind on “PRDs are dead,” and why crisp written clarity matters more in complex AI products* How Abridge uses Claude Code, Cursor, and coding agents internallyAbridge:* Website: https://www.abridge.com/* X: https://x.com/AbridgeHQJanie Lee:* LinkedIn: https://www.linkedin.com/in/janiejleeChaitanya “Chai” Asawa:* LinkedIn: https://www.linkedin.com/in/casawaTimestamps00:00:00 Introduction and what Abridge does00:02:05 From ambient documentation to clinical intelligence00:04:04 Clinical decision support and context as king00:06:57 Alert fatigue, proactive intelligence, and prior authorization00:12:36 Ambient AI form factors and healthcare customers00:16:59 The hardest AI problems in healthcare00:18:26 Frontier models, proprietary data, and model strategy00:21:07 The EHR as a filesystem for agents00:24:03 Personalization, memory, and clinician preferences00:30:40 Evals, LLM judges, and progressive rollout00:36:47 HIPAA, de-identification, and privacy00:39:21 100M conversations and operating at scale00:44:10 EHR integration and the clinical intelligence layer00:46:39 Healthcare regulation, latency, and high-stakes AI00:50:11 Clinician scientists and long-tail quality00:53:04 Lessons from Glean and durable AI infrastructure00:57:03 The future of agentic healthcare workflows00:57:34 PRDs, product clarity, and building serious AI products01:03:11 AI coding tools at Abridge01:04:06 OutroTranscriptIntroduction: Abridge, Clinical Intelligence, and the Latent Space x Unsupervised Learning CrossoverSwyx [00:00:00]: Okay. This is a special crossover Latent Space Unsupervised Learning pod.Jacob [00:00:07]: Very excited to do this.Jacob [00:00:08]: At this point, we get together once a year.Swyx [00:00:10]: Once a yearJacob [00:00:11]: And this is a fun occasion to get to do it on.Swyx [00:00:13]: I really wanted to talk to Abridge but I felt very underqualified because healthcare is not something we cover very intensely. It just so happens that Redpoint's our big investors and supporters of Abridge.Jacob [00:00:27]: Anytime you want to have a portfolio company on your podcastJacob [00:00:29]: Please, by all means.Swyx [00:00:31]: So we'll introduce our guests. Chai and Janie, welcome to the pod.Janie [00:00:34]: Thanks for having us.Chai [00:00:35]: Thank you.Janie [00:00:35]: We're excited to be here.Chai [00:00:36]: Thank you.Swyx [00:00:36]: So for listeners, what do you guys do, just to situate you guys in the company?Janie [00:00:42]: Abridge is a clinical intelligence layer for health systems. We really started with documentation and building for clinicians and as we think about reducing the burden that clinicians have, they're spending 10 to 20 hours a week on documentation. There's a massive doctor shortage in the country. We also think that conversations between patients and clinicians are probably the most important workflow in healthcare. It's where care is given and received but if you think about the 20% of our GDP that goes towards healthcare, almost everything is a derivative of that conversation, whether it's the claim, the payment, the actual diagnosis given, the treatment. And we've started with a conversation to reduce the burden for doctors on documentation but we're really excited about the path ahead as we become this broader clinical intelligence layer.Chai [00:01:34]: I'm Chai. I work on clinical decision support at Abridge.Swyx [00:01:37]: Yes.Chai [00:01:37]: And so as Janie said, we're uniquely situated where we started off with the clinical note. What I'm really excited about and where we're expanding towards is what are all the things you can do before the conversation, during the conversation and after the conversation if you did have access to all the context about patients, payer guidelines, medical literature and put that together and to serve, how healthcare could look fundamentally different.Swyx [00:02:01]: And that's the context engine that you guys have?Chai [00:02:04]: Yes.Swyx [00:02:04]: Is that what it's called? Okay.Swyx [00:02:05]: So historically, as I understand it, the company started in 2018. A lot of people would be familiar with the AI voice notes form factor that doctors would be “Well, do you consent to being recorded?” It replaces handwriting and what have you. But it sounds like more recently there's been a big transition in the company. Tell me about the broader transition.From Documentation to Clinical Intelligence: Save Time, Save Money, Save LivesJanie [00:02:26]: So from a transition perspective, we really think about our journey as The first act was: how do we help save time? And that's where a lot of that original product was.Swyx [00:02:37]: By the way, one of those interesting statsSwyx [00:02:39]: On your landing page was, doctors spend time after hours.Janie [00:02:43]: They call it pajama time.Swyx [00:02:44]: Why is that pajama time?Janie [00:02:46]: Doctors after work in their pajamasSwyx [00:02:48]: In their pajamas. OhJanie [00:02:49]: At home are just writing and catching up on their notes every day.Janie [00:02:53]: Some of our favorite customer love stories, we have a Slack channel called Love Stories. We have clinicians telling us, “Abridge has helped us, from retiring early or we're now finally able toJanie [00:03:06]: go home and eat dinner with our kids for the first time.”Chai [00:03:08]: Save the marriage in some cases.Swyx [00:03:10]: One of the quotes was “We're not divorcing anymore.”Swyx [00:03:12]: I'm asking, “Why?”Swyx [00:03:14]: Because they're working too much.Janie [00:03:16]: But, in terms of where we're going and where we're expanding, we really think about our second and third acts around how do we help health systems save and make more money. Health systems are operating with record-low operating margins. It's getting harder and harder to serve patients and they have regulatory, some tailwinds but also a lot of headwinds coming their way and AI is ripe for helping on the saving and make-more-money piece. And then ultimately, how do we help save lives? The fact that our software and our product is open millions of times a week before, during and after a patient walks in the room, gives us massive opportunity with products like clinical decision support, which Chai is building but so many others to improve patient outcomes and probably one of the most important workflows and problems to be going after right now.From Glean to Healthcare: Context Is KingJacob [00:04:04]: One thing that's interesting, Chai, is you came over to Abridge from Glean and clinical decision support, which for our listeners is, in the context of a visit, helping a doctor figure out the right type of care. It's really a search problem in many ways, going through lots of different data sources. Very analogous to your previous role as one of the earliest engineers over at Glean. I'm sure a lot of our listeners are curious what's similar about the problems that you're going after now and what feels different, now that you're in healthcare.Chai [00:04:33]: Very similar. Taking a step back, with every wave, there's a lot of very similar patterns that happen across different products. A lot of social networking products look the same. A lot of credit-based products look the same. And we're seeing that very similar in the agent era with many companies, of course, in Redpoint's portfolio and so forth. And the key insight between both companies is that you have amazing models but context is king. Context is what puts them to work. So I see it in a lot of ways, a lot of similarities in this is a healthcare-coded version of Glean but the differences are really interesting. A couple things that come to mind. First and foremost, the rigor of the setting we're in. The downside risk is extremely high here in healthcare. It can be fatal in some cases. You prescribe something that the patient is allergic to for example. Whereas at Glean, it's “Oh, you got the question wrong.” It wasn't the end of the world in most cases. And so what does that mean? That shapes our evaluation strategy, both offline evaluation, progressive rollout and there's a lot more we could go into there. Second thing that comes to mind is, vertical versus horizontal. In both cases, there's a large variance but when Glean is, it's a much more horizontal company, there's a variance of personas, companies that you're working with. We also have a variance of personas, different types of specialties, different hospital systems. But the variance is a little more narrow. So from a product perspective, you're able to focus far more, especially when you have a maturing technology and you're building new products that never existed before. It lets you go after them much more easily and especially in healthcare where so many problems were solved with labor and process, that it's extremely ripe for AI to keep helping augment and enable. And the final thing that's really interesting, Abridge specifically compared to many other companies in the AI area, is the modality we started with where we're ambient and we're always listening in the background. And many more AI products will go that way but it's how we started. And that's the greatest form of AI we can create, AI that's seamless. You're not looking at your screen. It's always there. It's always helping you out and being proactive. The Jarvis vision that, every hackathon I went to over the past decade, there was always a Jarvis competitor. But Abridge very much started from the opportunity and continues to go that way.Ambient AI and Alert Fatigue: When Should the Product Interrupt?Jacob [00:06:57]: One thing that is super interesting then from a product perspective is you have this always-on seamless in the background and then you have to decide when you break the wall almost and say, “Hey, clinician, you might not have thought about X,” or whatever it is that you want to do. And in healthcare traditionally there's been this idea of alert fatigue and a million pop-ups and then a doctor just ignores all of them. It's probably a pattern that a lot of builders are thinking through now. How do you think about the right way to intervene or to pop up in a doctor visit?Janie [00:07:26]: It's such a good question. Alerts are notorious in healthcare specifically. Over 90% of alerts are ignored. The first and most important thing is context is everything, as Chai alluded to and I also think about how do we go from being reactive alerting to really proactive intelligence at the point at which it matters most. One thing we like to say is we want our product to feel like air conditioning. It should be in the background just making things better and if there is something that has great clinical risk and we're acutely aware that intervening now and not later is incredibly important, we should decide to act. But if you think about proactive versus reactive, instead of alerting a clinician during a visit when they're with their patient having a pretty serious and sensitive conversation, how do we prep a clinician before they walk into the room with that patient? And so historically, clinicians might have to manually go through charts with a patient that they've had over the course of months or years and they'll try to suss out what are the things they should be doing. You can imagine a world with Abridge. We'll summarize all of the most recent context for you, tell you based on the reason for a visit the patient is coming in for the types of things you should be discussing. And so you're going into that conversation prepped rather than walking in cold to that patient visit and then having this product interrupt you five or 10 times throughout the visit. And there might be times where it's really important to interrupt. We have a product called Prior Authorization and so this is when you may go into a doctor's office with knee pain. They'll prescribe you an MRI and so many of us have had this experience before, where in four weeks you'll get a call saying, “Hey, Sean, that MRI that you were prescribed wasn't approved and why don't you come back in? We'll figure it out.” In a world with Abridge, we might choose to quietly but still alert a doctor in that visit. And alert is probably not even the word we would want to use. Before a patient leaves, we would want to tell the doctor, “Hey, Doctor, before Sean leaves, you should ask him, has he had physical therapy and has his pain lasted for more than six weeks? Because the Aetna plan that he's on in California requires six things. We've already confirmed four of them have been met ‘cause we have all the context. But these two last criteria, if you can address with Sean before he leaves the room, we could guarantee that your MRI is approved before you leave.” And so when you think about clinical usefulness, impact to the patient, there are instances in which if we can catch a doctor while the patient is still in the room, as we think about save time, save money, save lives, we get to check all of those boxes. But when doctors have 15 minutes between visits, we have to be really thoughtful about when it matters.Prior Authorization: Reducing Latency in CareChai [00:10:23]: There's this interesting product opportunity AI has is reducing latency in the world. For example, prior authorization is an example of where care gets delayed and so great AI can reduce that. And the problem with alerts before partially is a technical problem: the quality of your alerts really matters. They're going to get ignored if you get alerts that... Similarly in engineering, where they're noisy alerts that you can't act on. But if you can make really high-quality alerts with both the context, as Janie said, and really high-quality models, then you can create a whole other game.Janie [00:10:53]: And I really like that experience because it starts to tease apart, what makes this so hard and unique. One, to make that prior authorization example possible, think about all the data that you need to have. You need to integrate with the electronic health record to know all of the patient context. Do we have access to your previous labs, previous imaging? And then to match you and to know that you're on Aetna, we have to collect all of the different payer policies and they vary by state. Some of these payer policies live on websites. Some of them live in unstructured 50-page PDF files.Jacob [00:11:31]: I thought this episode wasJacob [00:11:31]: To make sure we didn't scare people from healthcare.Janie [00:11:34]: But when you think about the things that make it hard, it also gives you the moat.Janie [00:11:39]: And then the second is the AI and the model quality we need to be able to hang our hat on. And so the bar, similarly when I worked at Opendoor, I worked on pricing models. Every outlier wiped out the margins of 30 and so similarly here in healthcare, the bar for accuracy is so high. And then I'd say the last is workflow is everything. If insurance companies deploy AI, it typically happens too late and this is when you have the notorious comical examples of AI just fighting each other when it's too late. But if we can pull forward the use of both the AI but also the ability to solve problems when the patient's in the room, you can start to collapse what typically takes weeks or months after your visit, ideally down to minutes or real-time. And it's where healthcare is both very difficult but also extremely rewarding if you can crack it.Product Form Factors: Mobile, Desktop, In-Room Devices, and ARSwyx [00:12:36]: Just to get some baseline on the form factors, because I've seen some videos on your website and stuff. You guys talk a lot about ambient AI. Is it primarily on the phone? Is there any other form factor that people get Abridge in? Is there an Abridge room setup where it's always on? I don't know.Jacob [00:12:55]: An Abridge podcast studio.Janie [00:12:58]: Primary form factor is mobile and desktop. UsuallyJanie [00:13:00]: Clinicians are walking in and out of rooms with mobile but at the end of the day, when they're closing out their notes or wanting to prep for the day ahead, they might use desktop. We have been having a lot of really interesting partnership conversations with a lot of these in-room device companies as you think about the power of multimodality and even more data, as you think about all of what is not captured today. It is fascinating to think about, especially even as we go into building and scaling our nursing product. It's one where nurses constantly, as they're walking in to check in on a patient for two minutes or maybe even 30 seconds,Janie [00:13:43]: Starting an Abridge experience is probably going to take longer than the visit. And so what can we do with in-room devices that are always on starts to raise really interesting and fun product questions.Swyx [00:13:54]: I was thinking, the way in tech companies we have all these Google MeetSwyx [00:13:58]: And other things, we might as well set up entire rooms with just Abridge tech.Chai [00:14:02]: Very much. AR glasses and related form factors are also relevant: how do we bring the information to the clinician in real-time without a screen, while still letting them focus on the patient?Swyx [00:14:18]: Do you think they want that? I'm skeptical of AR, but I'm curious what you've tried.Chai [00:14:26]: Admittedly, it's not a near-term product roadmapChai [00:14:29]: By any means. I'm being far-fetched.Jacob [00:14:31]: There's some sick AR stuff for surgeries.Swyx [00:14:33]: Really?Jacob [00:14:33]: When people are trying to visualize, you're about to make an incision but you want to see, what the cut might look or what the body might look like inside and they can layer in imaging.Swyx [00:14:43]: That's cool.Chai [00:14:45]: At some point in the future.Janie [00:14:46]: But there are a lot of our largest customers and at the largest health systems integrating already and so even as we think about building into it, unlocks a lot of product capabilities.Swyx [00:14:57]: And just to establish the terminology. Sorry, and I know I'm asking basic questions somewhat for myself but also for the audience who might beHealth Systems, Buyers, Clinicians, Patients, and PayersSwyx [00:15:05]: Less integrated. When you say health systems, it's like the Johns Hopkins, the Kaiser Permanentes.Janie [00:15:09]: Mayos, the Kaisers of the world.Swyx [00:15:10]: These are your customers, right? And the outcome that you deliver for them is happier doctors, reduced cost of processing, reduced mistakes. It's weird in a sense that I feel like there's also, a secondary customer, the customer of the customer and I don't know if you — do you think about it that way?Janie [00:15:28]: The other interesting and complex part of building product is we have our buyers, who are the chief medical information officersJanie [00:15:39]: The chief financial officers, the CIOs of these large health systems. Our users today are clinicians but if you think about who downstream is impacted, it's patients. And so as we build, with every product in mind, we think about who we're building for, who the secondary user is and what does that mean either in terms of experience, security compliance, ROI that we have to make tangible. And so like you said, time savings is one of them. But for CFOs, they care a lot more than just time savings. We have to show for every dollar you put into Abridge, because you have more compliant documentation or because you have fewer queries coming from your billing team, we save or add real dollars to your bottom line or top line, are things that we're constantly thinking about because of the dynamic across all three sets of users.Chai [00:16:32]: There's a whole other axis too with the payers and pharmaChai [00:16:35]: as well. Connecting all these three big stakeholders in healthcare isSwyx [00:16:39]: Do the payers ever see your data? Sorry, the payers meaning the insurers, right?Chai [00:16:44]: Yes.Swyx [00:16:44]: They also see Abridge data?Chai [00:16:47]: NoSwyx [00:16:47]: Like the direct integration to you guysChai [00:16:48]: They wouldn't see the raw Abridge data but when you're working together on something like prior authorization, whatever information they need, we'd communicate to them.Jacob [00:16:59]: That's cool. I would love to dig into the AI side. You still have a lot of problems on the AI side. And so maybe to start at the highest level, what's one of the hardest problems you have to solve in AI at Abridge today?The Hardest AI Problems: Quality, Latency, and CostChai [00:17:11]: To make things simple, let's take, building off the prior auth example. So one thing Janie talked about is okay, this data is all over the place and there's this combinatorial explosion of procedures, payer policies and even sometimes different health systems. There can be some cross-product of all of these different considerations you have to take into account. But what's really hard about this problem is doing it real-time in the conversation. So, in any AI product, usually the three KPIs you care about are quality, latency and cost. Now, what we're saying is we want you to do this real-time in the conversation, guiding the clinician. How do we do it in a way that does not break the bank? But we're using — But we also need very intelligent models because you're working with this cross-product of data and this, all this context layer as well. So you need high intelligence and high-quality because you don't want the alert fatigue but you also need to be fast and cost-effective. And so that's where a lot of clever engineering goes. It's okay, without getting into all the details here, can you model these policies in some intermediate representation or other things that you can do that can make this problem tractable? And of course, the Pareto frontier is always changing but we are also trying to do this now.Model Strategy: Third-Party Models, Proprietary Data, and Medical ConversationsJacob [00:18:26]: What implications has that had for what you take off-the-shelf and say, “ what? We don't need to be world-class at X. We'll just take this from the model providers or from some infrastructure player,” and what you're “No, this is where we spend most of our time focused on”?Chai [00:18:38]: This is, the fun challenge in AI?Jacob [00:18:42]: It changes every three months? SoChai [00:18:42]: Of course, with the shifting landscape, we try to be extremely thoughtful on predicting the trends of where third-party models are going and where we can uniquely go. And, sometimes when you talk about AI models, we're the models are just going to get infinitely better. But I don't think... It may be in the grandness of time you could say that but, within every month, every quarter, there's specific ways they're getting better. They're training on a lot more, coding data to be better coding agents, for example. And soChai [00:19:14]: We have to think about where are the things that won't — unique data that we're uniquely training on or to step back a little, where is a proprietary model bringing advantage to us is if it can give higher quality or lower cost and latency for similar quality, very similar to many other companies. And when we can do that is when we have proprietary data. So, for example, we have on the order of eighty million or hundreds of millions now getting close to of medical conversations.Jacob [00:19:44]: It's insane.Chai [00:19:45]: This is a unique data set. And this data set, it's very interesting because this data set is effectively a large part of the trace between the patient and the provider. That's where the quote-unquote debugging happens in healthcare. We have these traces at scale, as in as, our CEOs even called it, an exhaust that comes out of our product. And so when you have these traces, that's how you can train better agents on certain use cases, whether it's your transcription diarization use cases or so on or like note generation models and we can do that much cheaper and faster. But we're always also working with these third-party model providers. We closely collaborate with them and that's how we predict where the trends are going. The thing that I think about a lot is that, I know that the model providers are going to train much more on agentic workflows and so forth, so that's great, so that you have a better agentic harness. But the other thing that's interesting is that the model providers, because a large class of the consumer model providers is healthcare queries, that they might, optimize to train a lot of healthcare data to encode the knowledge in its weights. And this is just a great thing for us as well, where the off-the-shelf models can keep bett-getting better at general healthcare information, such that what our strategy is, we have a constellation of models, we can use something for this, that and, we only care about, at the end of the day, the best product experience.EHR as File System: Agentic Workflows and Real-Time InterfacesJacob [00:21:07]: And, you have, overall capabilities improving. I'm curious, as these models get better, is there something you look at and you're “, three months ago, we really couldn't do that but God, the the latest models really allow us to do it”?Chai [00:21:19]: So here's something interesting that I've, been toying with. So all models are... This wasn't super obvious a year ago but now it's become clear and clear that almost every agent is a coding agent underneath the hood? So you give it whatever file system, it can write its own code and so forth. So when you think about within healthcare and the use case that we have, you can think of the EHR effectively like a file system. It's just — it's a storage of all this information. It's a lot of information there that cannot fit into the context window, at least of today's models and you want to use that context effectively for all these product use cases we're talking about. And so if you have better agents that can, manipulate data, read that data, treat it as a file system as we see they're going and we know model companies are investing this way, then that very directly benefits us.Swyx [00:22:09]: Yeah. Okay, cool. Again, just establishing basic things. But we're going back to the model stuff. I'm really interested in double-clicking more on the real-time, element, which is pretty important for both of you. Is it — Is real-time just batches of every one minute, every five minutes? Is that how we do it? Or is there some more native, genuinely real-time in the sense that OpenAI has a real-time API or Gemini has a real-time API?Chai [00:22:35]: Yeah. Yeah. So today it is more on the on the batch basis but there's interestingChai [00:22:41]: Prototypes that we have that we're still not fully, full time, voice in text out or in that sense. But, can you trigger your models, your agents or agentic workflows, depending on the right times in the conversation?Chai [00:22:58]: And so you can imagine, different techniques to bring this latency down and, you want to bring the feedback loop down as much as you can. And so a lot of clever engineering there without fully... Maybe one day we'll do full voice in and text out, train a model to do something like that.Swyx [00:23:15]: You do — People don't want voice in voice out?Chai [00:23:18]: Now we aren't creating experiences that are, during the conversation, inter — It's almost likeSwyx [00:23:25]: Might be too disruptiveChai [00:23:26]: Too disruptive until, who knows, maybe eventually you could have full voice agents once we — the quality and we improve the comfort of the technology. But right now gra — that change is much more gradual and it's more text focus, text out.Janie [00:23:42]: And so much of currently what our product is trying to do is allow a clinician to focus on their patient and maybe at some point but right now patients, clinicians don't want a third voice, at least in a literal voice in that room. And so how do we be there with all the contacts and information ready at hand when there's the right moment?Personalization: Individual Doctors, Specialties, and Health SystemsJacob [00:24:03]: Jenny, one thing I'm curious about is how you think about, personalization in the product. I imagine, every doctor is a special snowflake in their own way, has their own way they like to do things. There are probably a bunch of different approaches you could take to doing that, both within the model layer itself but then also just with clever prompting or engineering. How do youJacob [00:24:20]: Deliver on that?Janie [00:24:21]: It's such a good question. Personalization is massive for us. We think about personalization at three levels. The first is at the individual, the second is at the specialty level and then the third is at the health system or the organization level. To your point, there are a lot of individual preferences. You-When a note is produced, it almost is a reflection that is so deeply personal of a doctor's work and how they give care. And so do they have preferences on things like style? They might want bullets versus paragraphs, really concise versus comprehensive. They also might have phrases that they really like to use or the templates that they want every note to be structured. And, we see it in our feedback all the time. We want two spaces in between sentences or I refuse to use this tool. And so that's something that we've had to build in. And the tricky part is how do you make sure that stylistic preferences don't interrupt accuracy and quality and that's something that we've really had to refine and hone over time. Second is at the specialty level. A cardiologist note or workflow is going to look very different from a dermatologist workflow.Jacob [00:25:32]: I assume cardiology notes are the highest stakes for you guys, given your CEO is a cardiologist.Jacob [00:25:36]: It's “Oh my God, make sure we get this one.”Janie [00:25:37]: Shiv, our CEO, is still a practicing cardiologist. He rounds once a month. And so, first call when we want just quick and easy user feedback too.Janie [00:25:46]: But, specialties require a lot of personalization, both in terms of what does the product look and so we make sure that as new users onboard, we catch that and the product proportionally reflects that. But also on the back end, evals at the specialty level, they are hard-earned to calibrate and get. What does a really great dermatology note look like? What makes it complete? What makes it compliant and billable is very different than a primary care doctor. And so it's not just about what does the product experience look but on the back end tuning and really deepening our understanding for the specialists. What does great output look like? And that's, a problem that we need to calibrate internally, externally, online, offline but, takes lots of cycles but is necessary in a high-stakes environment. And then at the health system level, for products like clinical decision support, you have health systems who've spent years or decades refining their best practices and they want to know, “Hey, we love your clinical decision support product but how do we embed our own hospital guidelines into them to inform clinicians before, during or after a visit what brest — best practices should look like?” And as you think about, deepening moats as well, when health systems, trust us with that data, allow us to productize it and directly into the clinical workflow, makes us a really great partner to health systems who want to build something that truly meets their needs, their practicing guidelines.AI Slop, Memory, and Product Data FlywheelsChai [00:27:23]: And I want to add onto that. The for the clinical documentation problem, it's very similar to AI writing that doesn't feel like your own and then we call that slop. But the way I describe one framing of slop is like AI without context. But we have all that context and both the clinicians, can have it and can guide it. And so part of the other interesting exhaust for us is, memory is, one of these new systems recordsChai [00:27:49]: Almost.Janie [00:27:50]: And we also have all the edits people make on our product and when you think about a data flywheel and how we get better over time becomes really powerful as a mechanism to just going deeper in personalization.Jacob [00:28:04]: It's interesting. I love this idea of working with systems on the guidelines they built up over a long time. I feel like so many of the best AI app companies today are... The question is: How do you take the expertise that a law firm or a bank has built up over many years and then add that as context and also a special sauce over, a an AI tool? And so seems like y'all are really doing that very effectively.Janie [00:28:24]: We're now starting to have our customers ask, “What are other customers doing?”Janie [00:28:28]: “And how are they doing it?”Janie [00:28:30]: And as we think about having visibility across such a large set of care being delivered right now, a really interesting place we could also partner.Swyx [00:28:40]: I'm just curious. I — This may be a nothing question but, how different are health system guidelines from each other? Don't they all converge to the same thing? And if not, where do they differ?Chai [00:28:52]: At a really high level, they're going to talk about very similar things but the difference is probably in some more of the details. “Oh, you should refer to specialists only when XYZ conditions are met,” or so forth and maybe different organizations have different practices and guidelines around that. But high level, talking about similar things but the details are what, of course, that shapes the context and the decisions you make.Swyx [00:29:15]: And this all goes into the context engine and it might affect the notes but maybe not.Chai [00:29:21]: The — For these local pathways, we're definitely thinking about it a little more for our clinical decision support product.Chai [00:29:26]: So yeah.Swyx [00:29:27]: Which is your stuff, yeah.Swyx [00:29:28]: And then the memory which you raised, let's just tell us more about that. What have you tried in memory? What's the structure of the memory? What works? What doesn't work?Chai [00:29:38]: There's, of course, many different ways you could do memory, where it's okay, can you bake it into the model weights or can you do it in some external store? For us, what's interesting is, of course, when you think the models are rapidly changing, whether it's in-house or third-party, baking into the model weights, sometimes you worry that it could be a little throwaway. And so, how do you... You need to find a way that you decompose the problem, the preferences from the underlying models and so forth. The thing we're right now most both that's easiest to start with and we're excited about is having, a separate store for memory, where you have, for example, a memory sub-agent that's, working in the background, figuring out what are the important parts of the clinician's actions that we want to remember for the long term. And then you can also imagine, other things where in the — you have background jobs that are running that are collating these, memories similar to Sleep, of course and what other pattern, patterns products do as well. Learning over all these action, all the action data we have, again, note edits, the conversations they did and the actual transcripts.Evals: LFD, LLM Judges, and Clinical SafetyJacob [00:30:40]: What about evals? How in the world do you... It is such a complex product surface area. We would love to hear you riff on that and also how has that evolved? I'm sure you've gotten better at it, so any learnings along the way.Janie [00:30:50]: From an evals perspective, we, from day one when we build any new product or feature, we think about, what does good look like? And there are table stakes things like clinical safety but then you start to get deeper into what does good quality look like. And when you go into something like our core product, there's stuff like style and completeness and there's things like does this note become something that can be billable, which is very high stakes for a health system. We have a number of ways in which we get confidence for this. We have, internal in-house clinicians who do what we call an LFD process to give us our very first pass at is this or isn't this a good enough output, look at the effing data.Jacob [00:31:41]: LFD?Chai [00:31:42]: That's why I was smiling. I was “Is Janie going to mention what it stands for?”Jacob [00:31:46]: I was not... There's like a million acronyms.Jacob [00:31:48]: How am I supposed to know that I don't? So “Oh yeah, of course, an LFD.”Swyx [00:31:51]: I've never heard of LFDs.Chai [00:31:53]: It's a bridge for sure.Janie [00:31:55]: I got through three days and then I had to ask someone.Janie [00:31:58]: I thought it was just me that didn't knowJanie [00:32:01]: It's our internal process.Swyx [00:32:02]: But look at the data as a meme in ML, ‘cause you tend to not look at it. You just want to look at number go up.Chai [00:32:06]: Exactly.Swyx [00:32:07]: But yes.Janie [00:32:08]: But so, we make sure we look at the data and then as we think about all of the components of good output, we, one, create LLM judges across all of these and we make sure with annotated data and either internal or external evaluators, we feel like these judges are calibrated. And then depending on the stakes, we also work with in-house and third-party evaluators across all of these before we ship any big change. And the goal is, in terms of evolution, how do you go from this process taking months, down to weeks, down to days? Some of it is, a true science and ML problem. A lot of it's also just, hard operational work. Have you planned ahead in terms of what you need? Have you really optimized the capacity that you need across all of the different specialties you need? Have you gotten a really good sense of which third parties are great to work with for what use cases? This takes a lot of domain, expertise and, lots of mistakes and errors in figuring that out. And so as much of it is an ML problem, so much of it has also been operational gains that are hugely important, where domain-specific expertise is everything.Specialty-Level Evaluation and Progressive RolloutsJacob [00:33:23]: But it's funny, ‘cause I feel like people talk about healthcare like it's one giant market and the reality isJacob [00:33:26]: It's, dozens and dozens of sub-markets. And so it feels like in your evals you have to build that up across the board, probably.Swyx [00:33:34]: And is specialization the primary cardinality at... That's the word that comes to mind.Janie [00:33:40]: Sometimes, depending on the product or the use case. And so if we're making a note improvement or feature for a particular specialty, definitely but we have products that are for nurses. We have products that, are really aimed at making the document or the output a lot more billable. And so we'll want to work with coding teams and not necessary clinicians. And so likeJacob [00:34:05]: Coding meaning healthcare coding.Janie [00:34:06]: Yes. Yes.Jacob [00:34:07]: NotChai [00:34:07]: Yes. I see you.Swyx [00:34:07]: Other kinds.Janie [00:34:09]: But is this output proportional to the work that was delivered? Is there sufficient documentation to justify the amount that a health system may end up charging? And so, specialty sometimes but also domain, very different across all of the different products that we're working for. And building out that network is, not easy and is where a lot of our operational investments have gone into.Chai [00:34:35]: And I view a lot of analogies to self-driving cars here, where, part of it is we really want progressive rollout of features to test in the real world is this useful? Is this going to work? One big difference compared to past lives is before I'd build a product, maybe I'd alpha it and then I'd like GA it the next week, ‘cause I'm “Go, move fast, ship,” and whatnot. But the mentality is like you... I want to make contact with the reality as quick as possible but I want a progressive rollout. Because as much as I get as large of an offline eval set, I want the distribution of that to match real-life distribution. And over time, by rolling out early, similar to Waymo has a tagline, “The world's most experienced driver,” another thing that can, at least linearly increase for us is, both the size of our evaluation offline and online, that and it all feeds back.Janie [00:35:25]: Something that's been earned over time, speaking of evolution, is just the trust we've gotten with customers. Historically, a lot of these health systems, when they bring on new vendors, their release cycles are quarters, sometimes twice a year. We've gotten our customers onto monthly release cycles, which is pretty fast for health systems but what is more exciting over the last, call it, few quarters, has been, a subset of our customers have said, “We want to innovate with you. We trust you,” and we have a pretty, decent chunk of our customers who say, “We'll develop with you outside of these monthly release cycles. We have a higher tolerance. We know that the stakes are very high but we want to be the first ones using these products, giving you feedback.” And so for a pretty substantial set of our customers, we've been able to convince them to be able to ship, in this gradual way before GA. Something we talk about a lot internally is, trust is earned in drops, earned in buckets and so we still can't do what I used to do when I worked at Loom. We had 30 million users. I'd just be, rolling out experiments left and. The bar is still quite high for iterative rollout but because of the trust we've earned, we're able to learn at pretty high volume very quickly.Privacy, HIPAA, and De-IdentificationSwyx [00:36:45]: Your scale is still pretty huge.Swyx [00:36:47]: One thing I want to... We were going to go into scale? In a sec. One thing I wanted to call up, follow up on evals, which, again, just coming from a generalist engineer point of view, just thinking through what would people be scared of in doing this, the privacy and HIPAAJacob [00:37:00]: Elements of this. I have zero experience in that. What do you have to do? What is surprisingly not that bad?Chai [00:37:06]: So one thing that's really important here from a compliance perspective is very much that any of the data we use needs to be de-identified, any real-world data we use as a basis of online eval sets we're learning from. And so you have to — And there's, very clear, government guidelines, what counts as PHI. And so we've even have built models that can take, for example, a clinical transcript and remove all the key PHI indicators and so you have a scrubbed/de-identified version. And then once you... And so one thing that's important is first you've got to get confidence in that model in the first place? And prove that out. Because, now you have, multiple probabilistic systems on top of each other.Chai [00:37:46]: But once you have that, then you can train on it use it for evaluation and so forth, provided one of the cool things also that you can do from a business side is the right data contracting as well with your partners.Jacob [00:37:57]: Is the anonymization one way? Once it's done, you cannot undo it? Or is there someoneChai [00:38:01]: YesJacob [00:38:02]: Who holds the master key that can... Yeah, okay. So it's one way.Chai [00:38:05]: It's one way. Yeah.Jacob [00:38:06]: That's how it works. I just wanted to... Because, there's a lot of this, learning from feedback and everything that, you would want to debug more but you can't because you just physically don't allow yourself to.Janie [00:38:17]: Some of it's also written in our customer contracts in terms of who can or can't access PHI data, how long do we retain it,Jacob [00:38:27]: Very goodJanie [00:38:27]: Before it gets de-identified. And so we have a pretty high bar for who can access that PHI data, just to make sure that we always respect our customer data and privacy. But that's something that we partner with our customers on too, to make sure that as we want full, as close to precision as possible in that qualityJanie [00:38:48]: We can still use it.Jacob [00:38:50]: But it'll be fascinating to see how that space evolves? Because you think about, I used to work at a company that, did a lot of healthcare data in the cancer space and if you asked, the average cancer patient, “Hey, do you want people, do you want other patients to be able to learn-”Chai [00:39:03]: Take it.Jacob [00:39:03]: “... Learn from your experience?”Chai [00:39:04]: Take it all.Jacob [00:39:05]: They're “Please.”Jacob [00:39:06]: “I'd love, nothing more than for other people to be able to learn fromJacob [00:39:10]: The experience that I had.” And so in the past it was a lot harder to do that learning. But with this technology, that might really be practical and so it'll be fascinating to see how that continues to evolve.Chai [00:39:21]: There's so much in our data set of 100 million conversations.Chai [00:39:26]: You can imagine things like insights that you can give to the clinician. How could you, oh, how could you have reacted to this? In coaching or insights around, which treatments are effective or, like... Because you have this, again, this data source that was never captured before but that's, where, intuition or experience is created from, going back to this idea that the conversation is the agent of truth.Operating at Scale: Reliability, Cost, and Token EfficiencyJacob [00:39:46]: Back to the 100 million conversations, I feel like you have this insane scale that maybe only a few other AI app companies have and everyone else dreams of. So not everyone has had to confront this yet but maybe just talk about some of the challenges of operating at that scale and what, our listeners have to look forward to if they ever get to this level of scale.Chai [00:40:05]: At large and larger in scale, so of course there's a general, infrastructure reliability. When you... In any given startup, you're building the plane while it's flying. So there's some notion of that. But what gets interesting on the AI and ML side for sure is this, as you get at more and more scale, so one, you have the data to first and foremost do this. But, you start thinking about costs or infrastructure in a whole different way at scale versus, a prototype.Chai [00:40:34]: You can use the most expensive model, you can burn as many tokens as you want but when you're doing 100 million conversationsJacob [00:40:41]: Token max on leaderboards are less upsetting than that context.Chai [00:40:45]: . When you're doing that and so that comes for we have the data and we also have the team that's able to post-train based on this and you can optimize for efficiency, especially in areas where you believe that maybe a lot of the quality headroom is less so and you don't expect the other off-the-shelf models to go that way, such that you want to do, efficiency maximization, in terms of compute and tokens.Jacob [00:41:08]: I feel like you guys live in the future in some way where most use cases today are really just in use case discovery mode, where it's “God, I really hope I can find something that can get to scale,” and so you're always going to use the most powerful model. And then the few things that do get to this level of scale, you start to do those optimizations.Chai [00:41:22]: It's a natural trajectory where it's like zero-to-one, we're not talking about any of these optimizations.Chai [00:41:26]: But when maybe we're in the one-to-100 or so forth, then we're in optimization mode and, what works out really well is you've got all this data from zero-to-one that lets you do this.What Comes Next: The Conversation as the Shared Healthcare PlatformJacob [00:41:36]: That's fascinating. I feel like one thing that's so interesting about the Abridge footprint is that you're in the doctor-patient visit in real-time. I always like to say, there's like probably 50 years' worth of product you could build on top of that. What gets each of you, I don't know, what are you most excited about building, either in the short term or medium term or even, long down the line?Janie [00:41:53]: Something that I get really excited about is that the same conversation can serve so many stakeholders. If you think about the conversation, a doctor needs to know what is the documentation, how do I make sure that this fully represent the care I gave? A patient needs to know, “What the heck just happened? This was really overwhelming. What are my next steps?” A payer needs to know, was this the proper and appropriate care given? A pharma company might want to know why isn't this drug being properly used or is there a good candidate for this clinical trial that I'm about to run? And where I get excited is that our product and our platform and our infrastructure can be the same product across all of those things and start to what's today, separate, very expensive, complex systems that serve each one of these stakeholders in very different ways, start to collapse all of that into a singular platform that enables not just more efficiency across the board but also better outcomes for everyone. And, all of us experience healthcare in probably very painful ways and knowing that there is a world in which we can simplify a lot is really exciting to me and it all starts with the conversation.Chai [00:43:15]: It's interesting. Of it very similar to going back to the KPIs that any AI product cares about. How do you increase quality of care? How do you reduce latency to care? And how do you reduce costs? Which is a huge, in healthcareJacob [00:43:28]: They call it the triple aim in healthcare.Chai [00:43:30]: But very similar to building AI products and the thing that really excites me is when we talk about that latency piece, we talked about one example earlier of prior authorization, can you reduce the latency to care? But you can imagine so much more. Oh, as soon as the lab value gets updated, do you have like a background agent that, kicks off and uses all the context to be “Oh, hey, the patient should do this next,” for example. And of flagging that to the clinician who's always in the loop but reducing that latency, to care. And then you can imagine this is much further down the road but it's like even connecting that to the direct patient and the consumer. And so how can you, how can you build a bridge to all of these things?EHR Partnerships and the Clinical Intelligence LayerJacob [00:44:10]: Very cool. The connections piece is just an ever-growing thing. And one of the key partners is the EHR and I wonder what that relationship is like. Will they, look at this as, something that is valuable enough that they want to own someday?Janie [00:44:29]: Our partnerships with the EHR is, we know that we have to be extremely close partners with all the EHRs who we partner with. Being able to not only pull and push all of the data into the right places is, not only table stakes, if we can't do that, health systems don't want to use us. The second and the reality of today is clinicians spend a lot of their days in the EHR. So much of what allowed us to win in the largest health systems was pretty direct and, very close partnerships with some of the largest electronic health records that allowed us to pull and push data with APIs that weren't ready out of the box. And clinicians want to save clicks. Anytime we introduce a new product that, adds two clicks for them in their day, they're “We're not going to use it.”Janie [00:45:21]: They have 15-minute back-to-back appointments with their patients. They're spending, hours during pajama time doing documentation. Every second and every minute counts and so we really think about being deeply integrated into the EHR as also table stakes to getting real usage and adoption. And anything that we build or introduce, we really talk about earn the right internally a lot, which is we have to provide so much value or save so much time that people will use us. But those are the two things that are close to us, is we know that the product won't be used unless it is deeply interoperable.Chai [00:46:01]: And strategically, to your point, it's like what does EHR want to own versus us? EHRs are really focused on the clinical workflows and so forth but some of the things that we're talking about here, I do these traditionally are outside of the domain where it's oh, connecting pairs and providers together with provider policies or the clinical trial matching, as Janie brought up. And so these are, entirely — we position ourselves as building this entirely new intelligence, clinical intelligence layer across, again, providers, pharma and, payers.Chai [00:46:33]: And so that's a it's a whole different ballgame that we try to playChai [00:46:36]: In combination with them.Jacob [00:46:37]: But it's like a different layer of scope.Healthcare AI Regulation, Technical Depth, and What Changed Their MindsJacob [00:46:39]: I'm curious, you are both relatively newcomers to healthcare. People have these, there's lots of futuristic healthcare AI takes of “Oh, everything will look different.”, now that you've been in healthcare for a bit, you live at the edge of AI, what have you, changed your mind on around this, as you think about what healthcare looks like in ten, 20 years? Any updates to your mental model from the time being close to the problems?Chai [00:47:02]: One thing that IChai [00:47:04]: Was hesitant about before and it's a common thing when I'm trying to recruit engineers that people ask me around, is definitely oh, healthcare, heavily regulated space. And it is, rightfully so. You want to keep, the patients at the end of the day safe. But one of the interesting things that, is a that surprised me how much it is coming to the company is there's a lot of really favorable regulatory tailwinds as well. Where you think about, government really wants interoperability between all these systems that we talked about and so agents can access this information. The government just in January, the FDA released updated guidance on clinical decision support, what I work on in such a way that they used to have guidance from like 2022 that required you to have, mention all these options and do all these other things but it's a very forward and forward-looking way. And so for me, what's been really cool to work on is this, there's this very special moment both in AI in general, we all know that but there's a special moment also regulatory in healthcare as well.Janie [00:48:05]: One thing I would call out is for the very reasons things are higher stakes or, potentially considered more difficult in healthcare, it's where some of the hardest AI problems will get solved first, just because the bar is so high. When I first joined, I was “Oh, this is where we'll be on the tail end of where, all of the AI innovation will be able to be applied.” But when you think about, zero error evals or multi-step workflows that have really low tolerance, a lot of the innovation will happen here just because we have to or else we can't ship.Jacob [00:48:42]: ‘Cause like in other domains, you'd much rather just solve the 80%-is-good-enough problems firstJanie [00:48:46]: 80/20 doesn't work hereChai [00:48:48]: And building off that, traditionally, there was a bit of stigma that, oh, healthcare companies are not that interesting from a technical perspective or I've seen that or faced that myself. But these are really hard and fun problems from a pure technical perspective beyond just the impact. How do you bring the latency of this thing down and make it really high-quality?Reducing Latency: Clinical Workflows, Agents, and Implementation RealityJacob [00:49:07]: How do you bring the latency of things down?Chai [00:49:10]: Yeah. Yeah. Yeah. So okay, let's answer the latency question. And maybe hopefully not too redundant with some of the things I've said earlier but some part of it is with any latency, you have to like what is, what is really your bottleneck. In a lot of workflows, it's sometimes it's the model itself. And so that's where like our data flywheel, our post-training team and so forth come in so that can you make the models far more efficient. So that's one aspect of latency. But there's whole other aspects of latency where it's okay, on top of that, if you use a constellation of different models, can you use — can you first use like a — it's like thinking fast and slow. Can you use a cheap, fast model that triages and hands it off to a larger model where you get more intelligence and so forth and so all theseChai [00:49:56]: Clever tricks to make it work.Chai [00:49:58]: And by the way, we are totally — we also realize that the parameter frontier is changing and so these tricks will — may not get us to where we want to be in five years but we need to if we want to build a useful product right now.Jacob [00:50:11]: Should we go to the quick-fire or you want to ask more about Abridge? We can stuff everything that's not Abridge into the quick-fireSwyx [00:50:16]: I don't mind. I was — I feel like Janie was on the topic of more long tail stuff, which isSwyx [00:50:21]: Not the eighty/twenty thing and that really matters. And I'll —, if you have any tips or cool stories or just general approaches that have worked for you that's interesting to dig into.Janie [00:50:32]: One of them is even just how we staff our teams looks different than a traditional software engineering team, I'd say.Swyx [00:50:40]: Let's go.Clinician Scientists, Edge Cases, and Evals at ScaleJanie [00:50:41]: We have a bunch of folks with different roles who are clinicians and so we have this role called the clinician scientist and I heard one of our leaders refer to them as mutants recently. But they are people who've had clinical backgrounds, so MDs typically, who are also deeply technical, somewhere, on the spectrum of like a full stack engineer all the way to like extremely scrappy prompter. But having each of these people embedded within our teams instantly raises the bar for everything that we build because not only are they determining, is this product clinically useful but they're deeply embedded in our whole evals process. And so when we talk about LFDs, when we talk about what is our actual evaluation criteria, you don't want Chai or me creating what those are because we don't have clinical background. But is probably unique to Abridge but has been game changing. And when you think about where the puck is going, you have people build with clinical backgrounds who are technical and where AI tools are going, they just becomeJanie [00:51:53]: More and more, critical and like the killers of the team. And so that's one. And then the second is just the scale at which we do evals to catch that long tail up front before anything ever gets into production is something that we've pretty much like really started to fine-tune, both from a scale but when do we know we need to get several hundred versus several thousand offline responses, what helps us make that quick decision and make this less of an art and as much of a science as possible. But that's also been something we've had to tune over time.Swyx [00:52:27]: And you have partners who opted in to give you those evals.Janie [00:52:31]: So we work either internally or with third-party for offline evals and then we have customers who also agree to give us, whether it's like thumbs up, thumbs down to like choose this or that, a lot of data to get us to what is as close to fully confident as possible.Swyx [00:52:51]: The term that comes to mind isSwyx [00:52:53]: Like active learning on things where you're weak. I feel like it's a lost artSwyx [00:52:58]: Is a lot of the polish that comes into doing something like this.Janie [00:53:02]: Really.Chai [00:53:03]: Hundred percent.Lessons from Glean: Technical Foundations and AI App InfrastructureJacob [00:53:04]: Maybe, on a totally unrelated note, Chai, you had a very, storied run at Glean b

Ryan is having a bad week and is upset at Canadian Tire for almost killing him, China is lying about the amount of people they have in their country and Shrek rave is back and we plan to attend. We receive an unmarked box to our PO box with no return address and it is filled with some amazing gifts. And finally Ryan performs one of the greatest song parodies ever created.

It's Clever's 10th anniversary! We're celebrating by honoring and revisiting some of the amazing stories we've collected over the years. Our guests have continued to make meaningful contributions to the world since we had our initial conversations, be sure to subscribe to our Substack to catch up on some of their recent news!Ep. 56: Jerry Helling - President and Creative Director of Bernhardt Design, Jerry Helling, grew up on a ranch in a remote town with 11 people in his graduating class before venturing to USC and a potential career in Hollywood. A personal epiphany combined with serendipity rerouted him into the furniture business, resulting in a long and distinguished career as a keen mentor of talent, a champion of originality, a risk-taking, needle-moving industry voice, and a major benefactor of international design. Plus, he's really nice!Images and more from Jerry Helling on our website!Clever is hosted & produced by Amy Devers, with editing by Mark Zurawinski, production assistance from Ilana Nevins and Anouchka Stephan, and music by El Ten Eleven.SUBSCRIBE - listen to Clever on any podcast app!SIGN UP - for our Substack for news, bonus content, new episode alertsVISIT - cleverpodcast.com for transcripts, images, and 200+ more episodesSAY HI! - on Instagram & LinkedIn @cleverpodcast @amydeversSpecial thanks to our sponsors!Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Join us for Emerging Designers Spotlight LIVE, Sunday May 17, 4pm on the Main Stage at ICFF NYC. Register to attend for free with code: MISKGENSPK Hosted on Acast. See acast.com/privacy for more information.

Tune in every Monday at 08:15 AM on the HFM Breakfast Show for Taal Toffies with Dr Willem Botha, former Editor-in-Chief of the Woordeboek van die Afrikaanse Taal (WAT). It's a fun, bite-sized taal treat where Dr Willem unpacks an Afrikaans word or phrase — what it means, where it comes from, and how we use it in everyday life. Clever, quirky, and guaranteed to add a little taal-flavour to your Monday morning!

This month, rationalist institution Lighthaven is running their second Inkhaven, a bootcamp for aspiring bloggers. Participants have to publish a post a day, or they get kicked out. You can read their posts here. I'm too old to manage that pace, but agreed to participate as an advisor. Then I missed the first half of the month because I was on a trip. As compensation, here are fifteen pieces of writing advice for the fifteen days I was absent. 1: Against microdishonesty Sasha Chapin has a piece If You Have Writer's Block, Maybe Stop Lying To Yourself. Maybe lying gives Sasha writer's block, but for my last set of mentees it more often just made things sound awkward and unclear. The English language hates the slightest whiff of dishonesty, even levels so small you wouldn't naturally notice them yourself. It punishes you by making your writing worse. I remember asking one of my mentees to take out a tangential paragraph that didn't really connect to the rest of the argument. They refused, and awkwardly admitted that it was the one thing they really wanted to say with the essay. They'd written the essay about something else, because the other thing was more presentable. Then they'd smuggled their actual point in as a payload. Clever plan, but your readers will notice. There are countless reasons to lie when you're writing. Maybe you thought of a really clever introduction, but the thing it introduces is 5% different from the thing you really want to say, so you need to be a little vague and smush them together. Maybe you have a really great perspective on something which is almost like the topic du jour, and you need to make it sound like it's exactly the topic du jour to get it published. Maybe you can rebut 99 out of 100 arguments for some stupid evil position that you want to debunk, but it would be embarrassing to leave one hanging, so you smudge it together into the other 99 arguments. English will punish you for all these things. Sometimes there's no better solution and you have to settle, but your readers will notice.   https://www.astralcodexten.com/p/half-a-month-of-consolation-writing

Ryans stalker Gay Martin has sent a few voice messages in response to "false martin's" new song. We find a new revolutionary kick starter product that allows you to listen to music through your butthole. Martin is caught at a mall taking pictures of women changing and Ryan gives us another edition of "things i think of at night".All this and more one this weeks Clever Name Podcast.FULL SHOW ONLY ON podcastaregay.com

Natsai Audrey Chieza spent her youth in Zimbabwe in a close-knit extended family where she and her cousins were “in each others' pockets.” In her teenage years the national economy crashed, necessitating a family relocation to the UK, and she began learning the skill of “not belonging.” Architecture studies proved alienating so she found a way to combine them with her love of fashion (to the consternation of her professors.) Rejecting the prescribed path of a professional architect, she instead pursued a postgraduate program in Material Futures that set her on a path of designing with bacteria. Now, she's founded Faber Futures, a biodesign studio, and Normal Phenomena of Life, an artful lifestyle and fashion brand that also functions as a working prototype of a new model bioeconomy. She's spent her whole life quietly not doing what was expected of her, and in this space of outsiderness she's been very busy creating new paradigms for how we might collaborate with nature and new models for the equitable stewardship of these new biotechnologies. So, in terms of cultural infrastructure, she is an architect after all! Images and more from Natsai Audrey Chieza on our website!Clever is hosted & produced by Amy Devers, with editing by Mark Zurawinski, production assistance from Ilana Nevins and Anouchka Stephan, and music by El Ten Eleven.SUBSCRIBE - listen to Clever on any podcast app!SIGN UP - for our Substack for news, bonus content, new episode alertsVISIT - cleverpodcast.com for transcripts, images, and 200+ more episodesSAY HI! - on Instagram & LinkedIn @cleverpodcast @amydeversSpecial thanks to our sponsors!Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Sourhouse NYC - extremely delicious, chef-driven sour candy made from peak-season, single-origin fruit. Text SOUR to (718) 587-0143 or go to sourhousenyc.com to get on the list! Hosted on Acast. See acast.com/privacy for more information.

This week, a noble, a witch and a huntsman are trying to save a village from a terrible monster - who will meet their destiny first? Highlights include: - It 'might' be the best story driven game I've ever played... - There's no fitties, so I chose based on headwear... - Can you pour salt in somebody's wound? If not, why not? - Why isn't it just a video game? - The three main attributes of any adventurer: Fight, Clever, and... Green...

Tune in every Monday at 08:15 AM on the HFM Breakfast Show for Taal Toffies with Dr Willem Botha, former Editor-in-Chief of the Woordeboek van die Afrikaanse Taal (WAT). It's a fun, bite-sized taal treat where Dr Willem unpacks an Afrikaans word or phrase — what it means, where it comes from, and how we use it in everyday life. Clever, quirky, and guaranteed to add a little taal-flavour to your Monday morning!

Welcome to the Colorado Business Podcast! In this episode, Alejandro, the visionary behind Clever Landscaping, shares his incredible journey of arriving in the United States with nothing and building a massive landscaping enterprise in Denver. The conversation dives deep into the harsh realities of business costs, the resilience required to overcome $9,000 in credit card debt during the pandemic, and what it truly takes to succeed as an entrepreneur from the ground up. Whether you are looking for tactical advice on scaling a service business or just want to hear an inspiring story of pure grit and determination, this episode delivers. Subscribe for more interviews with top local business leaders!

Its time for the annual Great Long Distance Sh*t off. We drink laxatives and eat taco bell, last one to sh*t wins. Gay Martin send us a werid email and we turn it into the song of the summer. A spot has opened up in a polycule so we fill out the form to join. The guy who made heelys has passed away and robots are being built for torture. All this and way more on this weeks Clever Name Podcast. Full show ONLY on podcastsaregay.comBUY TRADING CARDS: https://0www.paypal.com/ncp/payment/SH9WJ5V6EJ8UQFULL SHOW: https://www.clevernamepodcast.com/LIVE SHOW: https://www.live.clevernamepodcast.com/MESSAGE TO PLAY DURING SHOW: https://streamlabs.com/clevernamepodcast/tipINSTAGRAM: https://www.instagram.com/clevernamepodcast/?hl=enDISCORD: https://discord.gg/m4USkdA7wAALL OTHER SHOWS: https://www.podcastsaregay.com/SEND STUFF TO PO BOX: PO Box 20016Orillia, ON, L3V7X9 CANADA

It's Clever's 10th anniversary! We're celebrating by honoring some of the amazing stories we've collected over the years. We're kicking off the party with a rewind of our very first episode! Joe Doucet has continued to make meaningful contributions to the built environment since we had this conversation, be sure to subscribe to our Substack to catch up on some of his recent works!New York-based multi-disciplinary designer, Joe Doucet, tells Amy and Jaime why he doesn't start any project with sketching, how a pair of avant-garde headphones caught the attention of Lady Gaga, and how he cross-trains his brain. Images and more from Joe Doucet on our website!Special thanks to our sponsor! Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Clever is hosted & produced by Amy Devers, with editing by Mark Zurawinski, production assistance from Ilana Nevins and Anouchka Stephan, and music by El Ten Eleven.SUBSCRIBE - listen to Clever on any podcast app!SIGN UP - for our Substack for news, bonus content, new episode alertsVISIT - cleverpodcast.com for transcripts, images, and 200+ more episodesSAY HI! - on Instagram & LinkedIn @cleverpodcast @amydeversSpecial thanks to our sponsors!Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Sourhouse NYC - extremely delicious, chef-driven sour candy made from peak-season, single-origin fruit. Text SOUR to (718) 587-0143 or go to sourhousenyc.com to get on the list! Hosted on Acast. See acast.com/privacy for more information.

Tune in every Monday at 08:15 AM on the HFM Breakfast Show for Taal Toffies with Dr Willem Botha, former Editor-in-Chief of the Woordeboek van die Afrikaanse Taal (WAT). It's a fun, bite-sized taal treat where Dr Willem unpacks an Afrikaans word or phrase — what it means, where it comes from, and how we use it in everyday life. Clever, quirky, and guaranteed to add a little taal-flavour to your Monday morning!

This week, we are joined by Juliana Testa, Senior Security Engineer from 7AI, sharing their work on "Quish Splash - When the QR Code Is the Weapon: A Multi-Wave Phishing Campaign That Slipped Past Every Filter." A large-scale “quishing” campaign used QR codes embedded in image attachments to hide phishing URLs, allowing 28 out of 33 emails to bypass SPF, DKIM, DMARC, and Microsoft Defender and land directly in inboxes. Each recipient received a unique QR code and tracking ID, defeating traditional detection methods and enabling attackers to scale the campaign to over 1.6 million emails across multiple organizations while shifting execution to less-secure mobile devices. The attack was ultimately uncovered through AI-driven alerting combined with human analysis and threat hunting, highlighting a major blind spot in email security and the need for QR code inspection, mobile protections, and tighter auto-reply controls. The research and executive brief can be found here: Quish Splash - When the QR Code Is the Weapon: A Multi-Wave Phishing Campaign That Slipped Past Every Filter. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week, we are joined by Juliana Testa, Senior Security Engineer from 7AI, sharing their work on "Quish Splash - When the QR Code Is the Weapon: A Multi-Wave Phishing Campaign That Slipped Past Every Filter." A large-scale “quishing” campaign used QR codes embedded in image attachments to hide phishing URLs, allowing 28 out of 33 emails to bypass SPF, DKIM, DMARC, and Microsoft Defender and land directly in inboxes. Each recipient received a unique QR code and tracking ID, defeating traditional detection methods and enabling attackers to scale the campaign to over 1.6 million emails across multiple organizations while shifting execution to less-secure mobile devices. The attack was ultimately uncovered through AI-driven alerting combined with human analysis and threat hunting, highlighting a major blind spot in email security and the need for QR code inspection, mobile protections, and tighter auto-reply controls. The research and executive brief can be found here: Quish Splash - When the QR Code Is the Weapon: A Multi-Wave Phishing Campaign That Slipped Past Every Filter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Two of the three actors from the current Australian tour of the Yasmina Reza hit play Art. Damon and Toby have both done an episode or two of this podcast before. Clever chaps the pair of them.This podcast is made on the land belonging to the Wurundjeri people of the Kulin nation. We pay our respect to their elders past and present and acknowledge their traditions of sharing knowledge and stories for millennia on this land.Support this show http://supporter.acast.com/the-saturday-quiz. Hosted on Acast. See acast.com/privacy for more information.

Daniel Friebe and Lionel Birnie return for another spring Classic review, this time focusing on Remco Evenepoel's surgical performance and victory in Amstel Gold Race at the weekendWe examine how Remco learned from his near-miss last time around and pick out some of the other notable displays from Sunday's race. It's then time to look forward to the true Ardennes Classics, which kick off with Flèche Wallonne on Wednesday. Daniel has an intriguing theory about why Paul Seixas may struggle on the Mur de Huy, while Lionel wonders whether Tom Pidcock may have made a wise choice by skipping Flèche altogether.   EPISODE SPONSORNordVPNGet NordVPN two-year plan + four months extra ➼ https://nordvpn.com/tcp It's risk-free with Nord's 30-day money-back guarantee.Follow us on social media:Twitter @cycling_podcastInstagram @thecyclingpodcastFriends of the PodcastSign up as a Friend of the Podcast at thecyclingpodcast.com to listen to new special episodes every month plus a back catalogue of more than 300 exclusive episodes.The 11.01 CappuccinoOur regular email newsletter is now on Substack. Subscribe here for frothy, full-fat updates to enjoy any time (as long as it's after 11am).The Cannibal & BadgerFriends of the Podcast can join the discussion at our new virtual pub, The Cannibal & Badger. A friendly forum to talk about cycling and the podcast. Log in to your Friends of the Podcast account to join in.The Cycling Podcast is on StravaThe Cycling Podcast was founded in 2013 by Richard Moore, Daniel Friebe and Lionel Birnie.

Episode #77 of the Training Ground Guru Podcast, in association with Genius Sports, is with Ben Ryan, the Performance Director of Premier League side Brentford. Ben is responsible for making sure that the club's players are mentally and physically equipped for matchday.  Before joining Brentford four years ago, Ben consulted with a number of leading organisations and was Head Coach of Fiji's rugby sevens team, leading them to Olympic glory in 2016. Ben told us how someone from a rugby background landed a top role in football, what it's like to work with Head Coach Keith Andrews and about the club's secret supremacy rating.  We hope you enjoy this episode and if you do, please give us a follow via your preferred podcast provider.  SHOW NOTES => 01:31: Facilities at the training ground, where the interview is taking place. 03:05: Concerns about players being pampered? 04:39: What does your role as Performance Director involve? 07:19: What have you been doing today? 11:50: Changes that took place at the end of last season, when Thomas Frank left and Keith Andrews took over as Head Coach. 15:54: How Keith Andrews confounded the critics and doubters.  20:05: Brentford's supremacy rating. Taking a strategic view and not being overtaken by the emotion of results.  23:22: Clever recruitment and importance of developing players. 26:00: Coming into football from rugby union. Importance of looking outside football networks.  31:22: Head Coach of Fiji Rugby Sevens team - chalk and cheese with Premier League football.  39:47: GPS - one of the first teams to use it (with England Rugby in 2006) but not the panacea and won't be important forever.  42:07: Risk of over-monitoring players/ 24-hour surveillance. 43:58: Power of play/ how Brentford break up routine and regimen. 46:59: Setting up guard rails. Analogy about going across Firth of Forth Bridge. 48:52: Europe on the horizon. Challenge of extra games. 52:23: Premium Member question. Lessons from rugby. Chaos and surprise. 55:51: Ambitions: personally and for the club as a whole.  

Choice Classic Radio presents The Whistler, which aired from 1942 to 1955. Today we bring to you the episode titled "The Clever Mr. Farley.” Please consider supporting our show by becoming a patron at http://choiceclassicradio.com We hope you enjoy the show!

We hear about what school was like back in the day, try to give Mya advice about her alcoholic boss, and more!See omnystudio.com/listener for privacy information.

We hear about what school was like back in the day, try to give Mya advice about her alcoholic boss, and more!

Curator Alyssa Velazquez grew up with theater as her first form of community—a foundation that continues to shape her curatorial work. Her current exhibition at Center for Craft, Craft-itarianism: Community Action Through Craft, explores how craft can add joy, distribute resources, and foster community among at-risk and marginalized people. Velazquez brings a unique interdisciplinary approach to her curatorial practice at Carnegie Museum of Art, pulling from past work in art preservation, acting, and scenic design. Alyssa teaches us that the act of making can form resource generation within communities that need life-affirming support, and that craft methodologies—from job training to art therapy to social enterprise—can be applied to create meaningful social change.Images and more from Alyssa Velazquez on our website!Special thanks to our sponsor! Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Clever is hosted & produced by Amy Devers, with editing by Mark Zurawinski, production assistance from Ilana Nevins and Anouchka Stephan, and music by El Ten Eleven.SUBSCRIBE - listen to Clever on any podcast app!SIGN UP - for our Substack for news, bonus content, new episode alertsVISIT - cleverpodcast.com for transcripts, images, and 200+ more episodesSAY HI! - on Instagram & LinkedIn @cleverpodcast @amydeversSpecial thanks to our sponsors!Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Sourhouse NYC - extremely delicious, chef-driven sour candy made from peak-season, single-origin fruit. Text SOUR to (718) 587-0143 or go to sourhousenyc.com to get on the list! Hosted on Acast. See acast.com/privacy for more information.

We hear about what school was like back in the day, try to give Mya advice about her alcoholic boss, and more!

Bold marketing can work — but not all of it earns attention the right way. There's a version of standing out that could actually be costing you trust.

We've been sold a version of health that looks good on labels… but feels off in the body.“Organic.”“Gluten Free.”“Clean.”But what if those words are less about truth… and more about trust being borrowed?In this episode of ALLSMITH, Bryce sits down with nutrition coach Mike Schmidt to pull back the curtain on modern nutrition, food systems, and the silent stressors shaping our health. This conversation moves beyond surface-level advice and into the deeper layers of awareness… exploring gut health, hormones, environmental toxins, and the unseen ways our world is influencing how we feel, think, and perform.From microplastics and water quality to misleading food labels and the rise of optimization culture, this is a grounded yet provocative exploration of what it actually means to be healthy in today's world.This isn't about fear.It's about clarity.Because once you see it… you can't unsee it.⸻If this episode sparked something in you, don't keep it to yourself… share it with someone who needs to hear it.Follow Bryce at @therealbrycesmith, follow @allsmithco, and tap in with Mike at @superfoodsuperhuman to stay connected to the conversation.Subscribe to ALLSMITH on YouTube, Apple Podcasts, and Spotify so you never miss an episode.If you're ready to take this work deeper…Explore ALLSMITH coaching for personalized guidance, check out our apparel at allsmith.co, and come experience the ALLSMITH Social Club… where community, movement, recovery, and real connection come to life.This isn't just content.It's a way of living.⸻TIMESTAMPS00:00 – The moment you realize your body is speaking, not failing04:30 – Why we've normalized feeling “off”09:15 – Overfed but undernourished14:40 – Food labels: truth vs. marketing20:25 – Organic, gluten free… what actually matters?26:10 – The hidden impact of processed foods31:45 – Anxiety, gut health, and nervous system dysregulation38:20 – Social media, dopamine, and cortisol44:10 – Environmental toxins: pesticides, Apeel, and exposure50:35 – Water quality and filtration55:20 – Microplastics and heavy metals1:01:10 – Gut health as the foundation1:07:45 – Supplements: what works vs. what's noise1:13:30 – Peptides and the future of health1:19:10 – Hormones and modern disruptors1:24:50 – Optimizing testosterone naturally1:30:15 – Training, recovery, and over-optimization1:36:40 – Making health second nature⸻KEY TAKEAWAYS• Your body is not broken… it is adapting to your environment• Most “healthy” food marketing is designed to sell, not to serve• Gut health is foundational to energy, mood, and performance• Environmental toxins are real, but awareness creates agency• Supplements support… they don't replace lifestyle• Hormones reflect how you live, not just how you train• Consistency is the bridge between knowledge and transformation⸻QUOTES• “We've normalized feeling like shit… and called it normal life.”• “Your body isn't broken… it's responding to what you've been consistently giving it.”• “Food labels are often more about marketing than truth.”• “You can't biohack your way out of a disconnected lifestyle.”• “Gut health isn't a trend… it's the foundation.”• “Optimization without awareness becomes another form of stress.”• “Consistency isn't sexy… but it's everything.”Thank you for Listening! Learn more below.ALLSMITH IG ALLSMITH YouTubeBryce Smith IG

Fluent Fiction - Danish: The Great Picnic Caper: Outsmarted by a Clever Squirrel Find the full episode transcript, vocabulary words, and more:fluentfiction.com/da/episode/2026-04-07-07-38-20-da Story Transcript:Da: Foråret var kommet til København, og solen skinnede varmt ned over Kongens Have.En: Spring had arrived in København, and the sun shone warmly down on Kongens Have.Da: De nye, lysegrønne blade på træerne svajede let i vinden.En: The new, light green leaves on the trees swayed gently in the wind.Da: Græsplænerne var fyldt med familier og par, der nød dagen.En: The lawns were filled with families and couples enjoying the day.Da: Midt i alt dette sad Lars, Freja og Soren med deres picnictæppe, klar til at fejre påsken med en frodig kurv af delikatesser.En: Amidst all this, Lars, Freja, and Soren sat with their picnic blanket, ready to celebrate Easter with a bountiful basket of delicacies.Da: "Hvor er den lille tyvemonster?"En: "Where is the little thief monster?"Da: spurgte Lars spændt, mens han kiggede rundt omkring.En: asked Lars excitedly, as he looked around.Da: Han havde brugt dagen på at planlægge en snedig fælde for den berygtede egern, der havde ry for at stjæle mad fra picnickerer i haven.En: He had spent the day planning a cunning trap for the notorious squirrel known for stealing food from picnickers in the park.Da: Freja og Soren sad tæt ved siden af ham.En: Freja and Soren sat close beside him.Da: Freja kiggede skeptisk på Lars' plan, mens Soren havde travlt med at betragte fuglene, der fløj forbi.En: Freja looked skeptically at Lars' plan, while Soren was busy watching the birds flying by.Da: "Lars, tror du virkelig din fælde virker denne gang?"En: "Lars, do you really think your trap will work this time?"Da: spurgte Freja tvivlsomt.En: asked Freja doubtfully.Da: Lars nikkede med et glimt i øjet.En: Lars nodded with a twinkle in his eye.Da: Han havde placeret små skindende påskeæg og stykker af saftigt brød som lokkemidler nær tremmerne, han havde lavet af pap og snor.En: He had placed shiny Easter eggs and pieces of juicy bread as bait near the bars he had made from cardboard and string.Da: "Jeg vil bare se det egern en gang og måske være klogere end det," svarede Lars med et lille grin.En: "I just want to see that squirrel once and maybe be smarter than it," Lars replied with a small grin.Da: Soren vinkede af hendes tvivl.En: Soren waved off her doubts.Da: "Jeg tror, det kommer denne gang.En: "I think it will come this time.Da: Jeg føler det," sagde han ivrigt, mens han holdt udkig efter egernet.En: I feel it," he said eagerly, while keeping an eye out for the squirrel.Da: "Jeg kan prøve at kalde på det."En: "I can try calling it."Da: Pludselig lavede noget en raslende lyd tæt på dem.En: Suddenly, something made a rustling sound close to them.Da: Alle tre vendte sig straks mod lyden.En: All three immediately turned towards the noise.Da: Der kom en gruppe nysgerrige ænder vraltende hen til fælden, tiltrukket af de farverige æg.En: A group of curious ducks came waddling to the trap, attracted by the colorful eggs.Da: De begyndte at nappe til godterne, der var beregnet til egernet.En: They began to peck at the treats meant for the squirrel.Da: Lars sprøjtede lidt fortvivlet vand fra sin flaske på den nærmeste and, der væltede hans snare omkuld.En: Lars sprayed a little water from his bottle at the nearest duck that toppled his snare.Da: "Åh nej, ikke ænderne!"En: "Oh no, not the ducks!"Da: råbte han, mens ænderne grådigt forsynede sig med påskebordet.En: he shouted, as the ducks greedily helped themselves to the Easter feast.Da: Mens de tre venner forsøgte at redde resterne af deres picnic, dukkede egernet endelig op.En: While the three friends tried to salvage the remains of their picnic, the squirrel finally appeared.Da: Det stod fornøjet på en gren over dem og betragtede den komiske scene nedenfor.En: It stood contentedly on a branch above them, observing the comical scene below.Da: Pludselig sprang det adræt ned på jorden, greb et lille chokoladeæg og smuttede væk igen, mens det kvidrede muntert.En: Suddenly, it nimbly jumped to the ground, grabbed a small chocolate egg, and scampered away again, chattering merrily.Da: Lars kunne ikke lade være med at grine.En: Lars couldn't help but laugh.Da: "Jeg må indrømme, det er et smart egern," sagde han med et opgivende smil.En: "I have to admit, that's a smart squirrel," he said with a resigned smile.Da: Freja grinede også og sagde: "Det var i det mindste sjovt at prøve."En: Freja laughed too and said, "At least it was fun to try."Da: Soren klappede i hænderne og udbrød: "Jeg fik i det mindste at se det!"En: Soren clapped his hands and exclaimed, "At least I got to see it!"Da: På trods af kaosset og fiaskoen med fælden, indså de, at det sjove havde ligget i forsøget og eventyret lige så meget som i selve jagten.En: Despite the chaos and the trap's failure, they realized that the fun had been in the attempt and the adventure as much as in the actual chase.Da: Solen fortsatte med at skinne ned over dem, og grinet fyldte luften, mens vennerne pakkede resterne af deres picnic sammen.En: The sun continued to shine down on them, and laughter filled the air as the friends packed up the remnants of their picnic.Da: I dag havde de lært, at uanset resultatet var det vejen dertil, der skabte de bedste minder.En: Today, they had learned that regardless of the outcome, it was the journey that created the best memories. Vocabulary Words:arrived: kommetshone: skinnedegently: letnotorious: berygtedeskeptically: skeptiskcunning: snedigbait: lokkemidlerwaddling: vraltendesnare: snaretrap: fældechaos: kaossetbountiful: frodigdelicacies: delikatesserswayed: svajedeskeptically: skeptisktrap: fældenresigned: opgivendenimbly: adrætchattering: kvidredemerrily: muntertpeck: napperustling: raslendesalvage: reddecontentedly: fornøjetresigned: opgivendeadventure: eventyretcomical: komiskegracefully: smidigtreminiscences: mindersparkling: glimtende

Charlie Puth joins Switched On Pop in Studio A at Power Station at Berklee NYC, live before a room of current students, ten days after performing the national anthem at Super Bowl 60 and weeks before releasing his fourth album, Whatever's Clever. The conversation is grounded in one question: how do you absorb the music you love and turn it into something that actually sounds like you? Puth traces his national anthem arrangement through a lineage running from Jose Feliciano's 1968 World Series performance to Marvin Gaye's 808-driven 1983 All-Star Game version to Whitney Houston's 1991 Super Bowl rendition. The through-line: citation is letting your influences dissolve into your hands until they become unrecognizable. That principle runs throughout the new record, from the Quincy Jones guitar tone on "Cry" to the Chick Corea quotation buried in "Boy" that Puth didn't realize was there until after writing it. Songs Discussed Bruce Springsteen – "Born in the USA" Madonna – "Like a Virgin" David Bowie – "Let's Dance" Charlie Puth ft. Wiz Khalifa – "See You Again" Charlie Puth – "We Don't Talk Anymore" Charlie Puth – "Attention" Charlie Puth – "Light Switch" Whitney Houston – "The Star-Spangled Banner" Babyface – "Whip Appeal" Jose Feliciano – "The Star-Spangled Banner" Jimi Hendrix – "The Star-Spangled Banner" Marvin Gaye – "The Star-Spangled Banner" Marvin Gaye – "Sexual Healing" Soulja Boy – "Crank That (Soulja Boy)" DeBarge – "Who's Holding Donna Now" Charlie Puth ft. Jeff Goldblum – "Until It Happens to You" Charlie Puth – "Changes" Charlie Puth – "Cry" Kenny G – "Lullaby" SOPHIE – "It's Okay to Cry" Michael Jackson – "Human Nature" Johnny Hates Jazz – "Shattered Dreams" Madonna – "Into the Groove" Joshua Redman – "St. Thomas" Charlie Puth – "Boy" Chick Corea – "Spain" Charlie Puth – "How Long (Has This Been Going On)" Bell Biv DeVoe – "Poison" Elton John – "Don't Let the Sun Go Down on Me" Prince – "When Doves Cry" Schoolly D – "PSK What Does It Mean" Rick Astley – "Never Gonna Give You Up" Charlie Puth – "Beat Yourself Up" Britney Spears – "Lucky" George Benson – "Give Me the Night" No Doubt – "Hella Good" Michael Jackson – "Beat It" Michael Jackson – "Billie Jean" Charlie Puth – "Washed Up" Charlie Puth – "I Used to Be Cringe" Richard Smallwood – "Center of My Joy" Richard Smallwood – "Total Praise" Learn more about your ad choices. Visit podcastchoices.com/adchoices

It's a batch of great questions from the Crowdpurr library! This episode's topic: APRIL FOOLS PRANKS Host your own amazing quiz nights and bingo shows with Crowdpurr! New customers can get 25% off their first month on any upgraded plan and 10% off any annual plan using code BUDDS. Check it all out at www.crowdpurr.com/budds Fact of the Day: James Smithson, the founding donor of the Smithsonian Institution, never visited the US or had any known tie to the country. Triple Connections: Struck, Gate, Fish THE FIRST TRIVIA QUESTION STARTS AT 01:20 SUPPORT THE SHOW MONTHLY, LISTEN AD-FREE FOR JUST $1 A MONTH: www.Patreon.com/TriviaWithBudds INSTANT DOWNLOAD DIGITAL TRIVIA GAMES ON ETSY, GRAB ONE NOW!  GET A CUSTOM EPISODE FOR YOUR LOVED ONES:  Email ryanbudds@gmail.com Theme song by www.soundcloud.com/Frawsty Bed Music:  "Laser Groove" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/ http://TriviaWithBudds.com http://Facebook.com/TriviaWithBudds http://Instagram.com/ryanbudds Book a party, corporate event, or fundraiser anytime by emailing ryanbudds@gmail.com or use the contact form here: https://www.triviawithbudds.com/contact SPECIAL THANKS TO ALL MY AMAZING PATREON SUBSCRIBERS, INCLUDING:   Samantha Wheeler Mark Kloppenburg Amber Shiels Alan Kreisel Rich Sommer Joe Heiman Waqas Ali Logan Booker Bringeka Sam Nathan Stenstrom Brooks Martin Robyn Price Gee Brian Clough Lauren Schuette Evan Lemons AnneMarie Mattacchione Yves Bouyssounouse Kenny Zail York yates Gay Geek Fabulous Mollie Dominic Nathalie Avelar Natasha raina leslie gerhardt Diane White Youngblood Trophy Husband Trivia Lynnette Keel Lillian Campbell Jerry Loven Jamie Greig Jeremy Yoder Adam Jacoby rondell Adam Suzan Tiffany Poplin Bill Bavar Sarah Daniel Hoisington Keith Martin Sue First Steve Hoeker Jessica Allen Lauren Glassman Brian Williams Brett Livaudais Linda Elswick Carter A. Fourqurean Justly Maya Brandon Lavin Kathy McHale Chuck Nealen Courtney French Nikki Long Mark Zarate Laura Palmer  JT Dean Bratton Kristy Erin Burgess Trenton Sullivan Jen and Nic Michael Redman Timothy Heavner Jeff Foust Richard Lefdal Myles Bagby Jenna Leatherman Vernon Heagy Albert Thomas Kimberly Brown Tracy Oldaker Sara Zimmerman Madeleine Garvey Jenni Yetter Patrick Leahy Dillon Enderby James Brown Christy Shipley Clayton Polizzi Alexander Calder Ricky Carney Paul McLaughlin Willy Powell Robert Casey Matthew Frost Brian Salyer Greg Bristow Megan Donnelly Jim Fields Mo Martinez Luke Mckay Simon Time Feana Nevel

Julia Watson, a landscape architect, author, and educator, developed a passion for global cultures and knowledge as a child in Australia, inspired by her parents' National Geographic collection. She has since dedicated her career to exploring traditional knowledge systems and their application to contemporary design challenges like extreme weather, waste management, and population growth.At the heart of Watson's work is a profound respect for indigenous knowledge systems and a commitment to applying Traditional Ecological Knowledge (TEK) to climate-adaptive design. Through her work with Lo-TEK, including the recently launched Lo-TEK Office for Intercultural Urbanism, and her books, Lo-TEK: Design by Radical Indigenism and the upcoming Lo-TEK Water (November 30 release), she strives to facilitate the equitable exchange and implementation of indigenous knowledge and technology to the crucial and complex challenges of our evolving world.Images, links and more from Julia Watson on our website!Special thanks to our sponsor - Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Clever is hosted & produced by Amy Devers, with editing by Mark Zurawinski, production assistance from Ilana Nevins and Anouchka Stephan, and music by El Ten Eleven.SUBSCRIBE - listen to Clever on any podcast app!SIGN UP - for our Substack for news, bonus content, new episode alertsVISIT - cleverpodcast.com for transcripts, images, and 200+ more episodesSAY HI! - on Instagram & LinkedIn @cleverpodcast @amydeversSpecial thanks to our sponsors!Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Apply to participate in Emerging Designers Spotlight LIVESourhouse NYC - extremely delicious, chef-driven sour candy made from peak-season, single-origin fruit. Text SOUR to (718) 587-0143 or go to sourhousenyc.com to get on the list! Hosted on Acast. See acast.com/privacy for more information.

Anthony and Alex discuss the "Clever Reason" why the New York Giants have yet to fill their massive holes at Right Guard and Defensive Tackle. With Dawn Aponte and John Harbaugh leading the front office, the Giants appear to be strictly adhering to the NFL's compensatory pick formula. We explain the May 1st deadline and why "waiting" might be the smartest thing Joe Schoen has done all offseason. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

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In this episode, Lesley Logan shares her curated list of "passive-aggressive yet professional" scripts designed for those moments when you simply don't have the capacity to engage with negativity. Inspired by Dr. Rachel Selman, she dives into the importance of standing up for human rights and personal values, even when it feels uncomfortable. Lesley also celebrates wins from the community and reflects on her own small but meaningful victory of finally closing a lingering bank account task. If you have any questions about this episode or want to get some of the resources we mentioned, head over to LesleyLogan.co/podcast https://lesleylogan.co/podcast/. If you have any comments or questions about the Be It pod shoot us a message at beit@lesleylogan.co mailto:beit@lesleylogan.co. And as always, if you're enjoying the show please share it with someone who you think would enjoy it as well. It is your continued support that will help us continue to help others. Thank you so much! Never miss another show by subscribing at LesleyLogan.co/subscribe https://lesleylogan.co/podcast/#follow-subscribe-free.In this episode you will learn about:Clever responses from Dr. Rachel Selman for handling draining conversations.Using calm, firm phrases to stand up for beliefs without escalation.Why human rights and due process are fundamental, not political risks.Community win, including teaching a successful mat class for Lululemon.How completing a "small" task cleared a year of mental clutter.Episode References/Links:Dr. Rachel Selman Instagram – https://beitpod.com/cleverresponsesSubmit Wins and Questions – beitpod.com/questions If you enjoyed this episode, make sure and give us a five star rating and leave us a review on iTunes, Podcast Addict, Podchaser or Castbox. https://lovethepodcast.com/BITYSIDEALS! DEALS! DEALS! DEALS! https://onlinepilatesclasses.com/memberships/perks/#equipmentCheck out all our Preferred Vendors & Special Deals from Clair Sparrow, Sensate, Lyfefuel BeeKeeper's Naturals, Sauna Space, HigherDose, AG1 and ToeSox https://onlinepilatesclasses.com/memberships/perks/#equipmentBe in the know with all the workshops at OPC https://workshops.onlinepilatesclasses.com/lp-workshop-waitlistBe It Till You See It Podcast Survey https://pod.lesleylogan.co/be-it-podcasts-surveyBe a part of Lesley's Pilates Mentorship https://lesleylogan.co/elevate/FREE Ditching Busy Webinar https://ditchingbusy.com/Resources:Watch the Be It Till You See It podcast on YouTube! https://www.youtube.com/channel/UCq08HES7xLMvVa3Fy5DR8-gLesley Logan website https://lesleylogan.co/Be It Till You See It Podcast https://lesleylogan.co/podcast/Online Pilates Classes by Lesley Logan https://onlinepilatesclasses.com/Online Pilates Classes by Lesley Logan on YouTube https://www.youtube.com/channel/UCjogqXLnfyhS5VlU4rdzlnQProfitable Pilates https://profitablepilates.com/about/Follow Us on Social Media:Instagram https://www.instagram.com/lesley.logan/The Be It Till You See It Podcast YouTube channel https://www.youtube.com/channel/UCq08HES7xLMvVa3Fy5DR8-gFacebook https://www.facebook.com/llogan.pilatesLinkedIn https://www.linkedin.com/in/lesley-logan/The OPC YouTube Channel https://www.youtube.com/@OnlinePilatesClasses Episode Transcript:Lesley Logan 0:00  It's Fuck Yeah Friday. Brad Crowell 0:01  Fuck yeah. Lesley Logan 0:02  Get ready for some wins. Welcome to the Be It Till You See It podcast where we talk about taking messy action, knowing that perfect is boring. I'm Lesley Logan, Pilates instructor and fitness business coach. I've trained thousands of people around the world and the number one thing I see stopping people from achieving anything is self-doubt. My friends, action brings clarity and it's the antidote to fear. Each week, my guest will bring bold, executable, intrinsic and targeted steps that you can use to put yourself first and Be It Till You See It. It's a practice, not a perfect. Let's get started. Lesley Logan 0:48  Hi, Be It babe. How are you? Well, we are two thirds of the way through this month, and the equinox is tomorrow, and it's the spring equinox. And I you know there's all these different rituals you could do. Not gonna tell you about any of them, because go look them up and do the one you want to do, or do nothing and just enjoy it. But like, get outside, you know, check out the moon and take care of yourself, right? Like, truly. So this is the Friday episodes. This is non-interview, non-recap, just me sharing what inspired me that I saw on the internet that I was like, oh, I thought of you, Be It babe. Like, you're like, where do I should think is it's because I'm like, oh, I want to share this with you, my listeners, my favorite like the people who like you send me such great stuff. You send me inspirational stuff. You send me your wins. I so appreciate you send your questions in. Keep them coming beitpod.com/questions is where you can type, send your wins in and your questions. We love answering them on Thursdays. It's really a lot of fun. And then I share a win of mine and wins of yours. We can see that, like, there's good stuff happening. We're making magic happen. Lesley Logan 1:45  So this is fun. This is responses I've used on Instagram when I don't have the energy. So these are, like, just going to be some answers that you should take from the show notes, copy and paste into your notes, and then text or respond when you don't have the energy to engage with whatever crap is coming at you. So this one, there's a few. Thanks for the message. I'll give that thought the consideration it deserves. So it's so passive aggressive. It's my fave, so petty. Okay, I disagree, but we are working from different levels of education, so I can see how you got to your conclusion. Ah, good. You seem very committed to your current level of understanding. Have a great day. I'm not persuaded. I'll defer to the conclusions that have already been established. That's an interesting perspective. I'm not sure we're operating on the same level of details. I can see why that might seem right to you. However, the facts still stand. I admire how your opinion remains unchanged despite evidence that contradicts it. So I I'm like keeping this save because in standing up for human rights, I've had many people get mad at me and say, just stick to your Pilates. I really like your Pilates, but I don't like your politics. It's like, you don't have to like my politics or like my Pilates, like, I don't, first of all, you're getting most of it for free. So, you know, like, personally, I just want to go fuck off because, like, you're in it for free. Go away. Like, I'm allowed to have my opinion. Clearly, you think you're allowed to have yours. And, like, sometimes our comments can just, like, live rent free in my head, and I get really annoyed by that. I do think that's part of like, my ADHD. At any rate, because of this Dr. Rachel Selman, who has come up with some great responses. I am just going to use these. And I think they're really great, especially the ones where they're like, he was not, he was like, gonna, like, when it was talking about (inaudible) who was gunned down, executed in front of, like, we can see with our eyes, and it's like, people like, people like, that's not what happened. It's like, okay, well, we're obviously operating on different different worlds. You know? It's like, I can see why that might seem right to you. However, the facts still stand. Great response, better response than what I want to do. It's like, Hmm, I just want to tell you. Like, I just want to, not you listener, like the person who has the fills a goal to tell me I just just shut up and dance like, I just want to tell them to fuck off and or this. So I hope you can see how it gets do you understand, like, but you know, right, like some of you are listening and haven't shared how you feel because you're afraid of those comments. And so my hope is that those responses I just gave you give you a little bit of gumption to stand up for what you believe. And it's never too late. It's never too late. It's not we need everybody in this we need everyone. And human rights and due process are not political. They're like, literally how the world should work. Lesley Logan 4:28  So okay, now for your amazing wins, let me pull them up. Here we go. This one is from jessierodriguezaz. Teaching a successful mat class for Lululemon, but more importantly, looking over and seeing my husband, kids and parents. They're watching and smiling. They're what matters most. Oh my gosh, Jesse, beautiful, wonderful. And I mean, like, ugh, precious. Thank you for sharing that with us. I can just picture it. It's just so beautiful. All right. This one is from pilatesharmony88. More consistent than last week for me. Great. That is a great win. More consistent than last week for me. Wonderful. Good job. Win for you. I love it. Thanks for sharing, because we do need to celebrate that oh, I was better this week than last week. Okay, that's 1% better. Like, why do we have to be perfect? We don't. So send your wins in because I want to, I want to shout them out. I want to shout you out. I want you to remember, like, something that you did for yourself when, like, probably you're listening to something going oh, and then you're like, I had that win last month. Oh, my god, so good. Lesley Logan 5:28  All right, so here's my win. This is gonna sound ridiculous. So I've been, I was really annoyed with my bank, like, two years ago, they sold again, and I've just been like, I hate this bank. I hate it so much every like, I never use the ATM card, because I rarely ever use an ATM card, and the moment I do it, it's like, you know, somehow compromised. I have to go fight for the money. I have to wait for it to come back. It's so annoying. So I'm only gonna use my credit card with that bank and then just pay the money off, right, whatever. But I don't get any benefits from this credit card. And like, it's the worst time in the world to, like, want a new credit card anyway, so I've just kind of, like, stuck with it, but in trying to leave them, I opened up a Credit Union account thinking, like, okay, that'll be good if I want to get a loan or whatever, blah, blah, blah.The Credit Union is farther away and never in a direction that I'm going. And so I just haven't been using their ATM either. And so unfortunately, like, I opened this account 100 bucks, and it's just slowly been losing the money like it was, what a waste. I hope that they enjoyed the money that they got because I just threw it away. But to close the account, I couldn't do it over the phone. I couldn't do it online. I had to go in person and write a letter. And I am happy to say I did that. I finally went and I did it, and I made it fun. I made a whole day of it. I took the dog to the fun dog store that's right there, because I was like, oh, if we're gonna go there, we should, may as well go to the fun dog store. So I'm just really pleased as punch with myself and I got that off of my plate and out of my brain, and it's been there for a year of me going, I have to go close that account. I have to go close that account. It's done. Did it. So that's my win. All right. So do you see? Wins can be anything. Lesley Logan 6:56  All right, this is your mantra to get yourself out on for the weekend. My positive thoughts about myself are my choice. My positive thoughts about myself are my choice. My positive thoughts about myself are my choice. They're your choice, babe, go choose some good ones. All right, thank you for making this podcast a top 1% podcast. Thank you for being you. Thank you for sending your wins in, thank you for listening, thank you for sharing it, and thank you for Being It Till You See It. Bye for now. Lesley Logan 7:21  That's all I got for this episode of the Be It Till You See It Podcast. One thing that would help both myself and future listeners is for you to rate the show and leave a review and follow or subscribe for free wherever you listen to your podcast. Also, make sure to introduce yourself over at the Be It Pod on Instagram. I would love to know more about you. Share this episode with whoever you think needs to hear it. Help us and others Be It Till You See It. Have an awesome day. Be It Till You See It is a production of The Bloom Podcast Network. If you want to leave us a message or a question that we might read on another episode, you can text us at +1-310-905-5534 or send a DM on Instagram @BeItPod.Brad Crowell 8:04  It's written, filmed, and recorded by your host, Lesley Logan, and me, Brad Crowell.Lesley Logan 8:09  It is transcribed, produced and edited by the epic team at Disenyo.co.Brad Crowell 8:14  Our theme music is by Ali at Apex Production Music and our branding by designer and artist, Gianfranco Cioffi.Lesley Logan 8:21  Special thanks to Melissa Solomon for creating our visuals.Brad Crowell 8:24  Also to Angelina Herico for adding all of our content to our website. And finally to Meridith Root for keeping us all on point and on time.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Dana Malstaff 56 mins Edit   Reply       Stop Letting My Title Cost Me Clients: Focus on Frameworks, Not Labels In this episode, I explain how what I call myself—my title and even my business name—can actually confuse the market and keep me from getting the clients I want and building consistent income. After coaching thousands of women, I've seen that trying to be clever with a unique title backfires, so I need to stop making my title creative and instead focus on the framework I use to take someone from a problem to a transformation. I also share how titles can get tangled with my identity, especially as a mom whose sense of self keeps evolving, so I shouldn't pin my identity to a label. Finally, I challenge the old idea that I need a perfect business card or bio, and I invite listeners to email me or join the Boss Mom community to keep the conversation going. 00:00 Titles That Repel Clients 00:20 Welcome to Boss Mom 00:44 Stop Being Clever 01:39 Sell a Framework 02:45 Titles and Identity Traps 03:40 Lead With Results 04:49 Ditch the Business Card 05:44 Bios and Relationship Building 06:20 Framework Sweet Spot 06:43 Next Steps and Wrap Up

Designer Liz Ogbu grew up in Oakland as the daughter of Nigerian immigrants, but it wasn't until her first trip to Nigeria at 16 that she grasped the profound role place, family, and cultural context play in shaping who we are—and what we create. Drawn to the creative possibilities of architecture, she studied both architecture and engineering before traveling across Africa on a Watson Fellowship, an experience that sharpened her understanding of who her work is ultimately for: the people most impacted by design.Today, Liz is catalyzing what design can do—in transforming informal marketplaces, helping communities heal after being fractured by freeways, and weaving practices of grief, accountability, and repair into the built environment. Her work transcends traditional architecture, centering the excavation of harm and the pursuit of more empathetic, community-rooted design at a moment when it's needed more than ever. Images and more from Liz Ogbu on our website!Special thanks to our sponsor! Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Clever is hosted & produced by Amy Devers, with editing by Mark Zurawinski, production assistance from Ilana Nevins and Anouchka Stephan, and music by El Ten Eleven.SUBSCRIBE - listen to Clever on any podcast app!SIGN UP - for our Substack for news, bonus content, new episode alertsVISIT - cleverpodcast.com for transcripts, images, and 200+ more episodesSAY HI! - on Instagram & LinkedIn @cleverpodcast @amydeversSpecial thanks to our sponsors!Wix Studio is a platform built for all web creators to design, develop, and manage exceptional web projects at scale.Apply to participate in Emerging Designers Spotlight LIVE Hosted on Acast. See acast.com/privacy for more information.

Grammy-nominated singer-songwriter Charlie Puth has spent the last decade topping charts with hits like “See You Again,” “Attention” and “We Don't Talk Anymore” and recently performed the national anthem at the 2026 Super Bowl, drawing inspiration from Whitney Houston's iconic rendition. Puth sits down with Willie Geist at a New York City jazz club to discuss his fourth studio album, “Whatever's Clever,” an orchestral pop record influenced by late 1980s and early 1990s yacht rock, while reflecting on the pivotal moments that shaped his rise from accidental pop star to global headliner. Plus, he opens up about a recent conversation with former President Barack Obama about the importance of music education, how Taylor Swift's “The Tortured Poets Department” lyric pushed him to be more vulnerable and how marriage and impending fatherhood have reshaped his songwriting. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Hacktivist activity surges in the Middle East. Defense tech firms distance themselves from Claude. International law enforcement take down the Leakbase cybercrime forum. A pair of Cisco SD-WAN vulnerabilities are under active exploitation. Google releases an urgent Chrome security update. Age-verification is put under the microscope. TikTok is leaving end-to-end encryption out of your DMs. Our guest is Daniel Barbu, Director of EMEA Security from Adobe, discussing fostering a human‑centered, enablement‑driven, and collaborative approach to AI. Clever code catches cardiac clues. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today on our Industry Voices segment, we are joined by ⁠Daniel Barbu⁠, Director of EMEA Security from ⁠Adobe⁠, discussing how fostering a human‑centered, enablement‑driven, and collaborative approach to AI through the security guild, trainings, and other initiatives. Tune into the full conversation here. Selected Reading Retaliatory Hacktivist DDoS Activity Following Operation Epic Fury/Roaring Lion (Radware) Threat Brief: March 2026 Escalation of Cyber Risk Related to Iran (Palo Alto Networks) Unit 42's Iran Threat Brief: What We're Seeing (Threat Vector podcast special edition by Palo Alto Networks) Defense tech companies are dropping Claude after Pentagon's Anthropic blacklist (NBC) Sen. Wyden Warns of Mass Surveillance Amid Pentagon's Fight With Anthropic (Gizmodo) Sprawling FBI, European operation takes down Leakbase cybercriminal forum (The Record) Cisco Warns of More Catalyst SD-WAN Flaws Exploited in the Wild (SecurityWeek)  Google Rolls Out Emergency Chrome Update to Patch 10 Critical Security Vulnerabilities (GB Hackers) Hackers Expose The Massive Surveillance Stack Hiding Inside Your “Age Verification” Check (Techdirt) TikTok says it won't encrypt DMs claiming it puts users at risk (BBC) WiFi signals can measure heart rate—no wearables needed - News (UCSC) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this edition of A Clever Zeitle, Jack and Miles discuss their respective weekends, the war between the US & Israel and Iran, Israel cutting off aid to Gaza, the disgusting complacency & docile complicity of the American public and not much more!See omnystudio.com/listener for privacy information.

Charlie Puth (Whatever's Clever, Voicenotes, Nine Track Mind) is a Grammy and Golden Globe Award-winning songwriter, recording artist, and producer. Charlie joins the Armchair Expert to discuss his opinion that standup is the scariest job, how everyone in New Jersey is their own local celebrity, and that what's most important about recording is capturing the air in the room. Charlie and Dax talk about the photographic memory-like way he approaches sound, learning he wanted to write his own music after discovering 70s pop and R&B, and making a Christmas album that he sold door-to-door at age 11. Charlie explains why his history with his wife is like a country song, the realization that he had to remove fraudulence from his life, and embracing the beauty of imperfection in being human.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.