Podcasts about Clever

On today's show we create alternate reality TV Spinoffs of some of our favorite TV shows.  We also read your emails and take a look at the week's news. News: What Fox's Roku Acquisition Signals For Local Broadcast Wurl Chief Warns FAST Business Model Is 'Fundamentally Flawed' Walmart in reported $1.4 billion deal to acquire connected TV ad platform Google Home will soon get better at recognizing you Other: Pioneer SPHERA car stereo review Clever Spinoffs to Our Favorite TV Shows HBO Max is making a clever spinoff from "The Big Bang Theory" called "Stuart Fails to Save the Universe". The show follows comic book store owner Stuart Bloom from The Big Bang Theory in a new series where he attempts - and apparently fails - to save the universe, staying true to his unlucky nature. The spinoff consists of ten episodes, streaming every Thursday at 9 PM. It debuts July 23 on HBO Max . So this got us thinking about some cool spinoffs with quirky characters from other shows we've watched over the years. Here are three clever spinoff concepts in the same spirit as Stuart Fails to Save the Universe: Jack Bauer from 24 Title: 24/7 After finally retiring from CTU, Jack Bauer is forced to take a mundane job as head of security at a mid-sized suburban office park in Los Angeles — mostly to keep his health insurance. Still operating with the intensity, paranoia, and zero-tolerance policy that once saved the world multiple times, Jack now applies his elite counter-terrorism skills to everyday annoyances: package thieves, passive-aggressive HR Manager, broken printers, and the HOA president who keeps violating noise ordinances. Every episode plays out in real time (a 24-minute comedy format), following Jack as he tackles a new "crisis" — whether it's a missing office dog, a suspected mole in accounting, or an all-out war with the food truck that keeps getting his lunch order wrong. Jack still does dramatic split-screen monologues, tortures (metaphorically) the vending machine, and keeps a "go bag" full of zip ties and protein bars in his desk. His long-suffering team includes a burnt-out millennial assistant, a retired cop who just wants to nap, and his daughter Kim, who keeps trying to get him into therapy. Tagline: He saved the world 8 times. Now he has to survive the corporate retreat. Chandler and Monica of Friends Title: The One Where They're Spies After years of marriage, Chandler Bing and Monica Geller have the perfect cover: a boring, stable suburban life in New Jersey. Chandler works as a "data analyst" for a vague government contractor, and Monica runs a high-end catering business. In reality, they're a highly skilled CIA husband-and-wife operative team. Chandler's deadpan sarcasm and quick wit make him an elite handler and master of undercover personas. Monica's terrifying organizational skills, attention to detail, and competitive nature make her an absolute weapon in logistics, interrogation, and hand-to-hand combat (she once took down three targets with a perfectly thrown fondue fork). While they're out saving the world from international threats, they have to keep their double lives completely hidden from Ross, Rachel, Joey, and Phoebe — who still think Chandler hates his job and Monica is just an obsessive chef. Every episode balances high-stakes spy action with classic Friends-style comedy as the couple frantically tries to explain away their suspicious behavior: "Why do you have a go-bag in the closet?" "Why does Chandler suddenly speak fluent Mandarin?" "Why was Monica gone for three days and came back with a new scar and a Russian accent?" Tagline: They're saving the world… between coffee at Central Perk. Charles Boyle from Brooklyn 99 Title: Boyle After a high-profile case goes sideways, Detective Charles Boyle is transferred to the NYPD's newly formed Unsolved & Unusual Crimes Unit — a ragtag squad that handles cold cases too weird or embarrassing for anyone else. Still the passionate, food-obsessed, emotionally open romantic we know and love, Boyle now channels his legendary enthusiasm into solving the city's strangest unsolved mysteries: everything from a serial killer who leaves gourmet meals at crime scenes to a black-market truffle smuggling ring. He attacks each case with the same intensity he once reserved for perfecting his coq au vin recipe. Backed by a small team of misfits (a jaded ex-homicide detective, a tech genius who only communicates in food puns, and a rookie who idolizes him), Boyle brings both razor-sharp detective work and delightful chaos to every investigation. He still cries during interrogations, quotes obscure food history mid-stakeout, and maintains an emergency "comfort cassoulet" in the precinct fridge. Tagline: He may cry at crime scenes… but he always gets his man.

Allegedly, Star Wars has lost 85% of its fan base, but that's only when comparing The Force Awakens box office to The Mandalorian and Grogu. Clever article title but to be fair, that's just not accurate. While Disney Star Wars has definitely alienated its core audience over the years, I don't think it's a fair comparison being made here. I do think, however, that more fans are being pushed away with bad stories by the day, than what Lucasfilm will admit to, at least under Kathleen Kennedy. Hopefully, Dave Filoni has a plan going forwards which we will discuss in the next video. THEORY SABERS - https://theorysabers.com/ Best sellers: Ani III - The Chosen One - https://www.theorysabers.com/product/hilt-... Prodigal Son V1 (Affordable Version) - https://www.theorysabers.com/product/hilt-... HATS and MERCH - https://www.theorysabers.com/products-3?ca... Facebook: https://www.facebook.com/profile.php?id=61... SPOTIFY Daily Podcast Episodes - https://open.spotify.com/show/1j8jTU5OgOsi... Apple Podcasts Star Wars Theory - https://apple.co/3Z0qBQE Twitter - https://twitter.com/realswtheory Instagram - https://www.instagram.com/star.wars.theory/ TikTok - https://www.tiktok.com/@starwarstheory66 Learn more about your ad choices. Visit megaphone.fm/adchoices

The announcement of a new, creamier 'Vegemite Kids' product with half the salt and added vitamins has sparked a lively debate on 4BC Breakfast. While the Dean & Sofie joke about the 'mid-strength' branding and debate whether it should just be called 'Vegemite Light,' they also reflect on past food disappointments like modified Arnott’s Shapes and shrinking Cherry Ripes.See omnystudio.com/listener for privacy information.

Jono, Ben and Megan caught up with superstar Charlie Puth ahead of his Whatever's Clever! world tour later this year!See omnystudio.com/listener for privacy information.

Short inspirational insights into the weekly Torah portion and Jewish festivals.

What do three look-alike robots, a confused devil, and a broken sink have in common? They're all part of this week's amazing story answers! Let's hear how our clever story friends would outsmart a devil—and what happened when someone got blamed for something they didn't do!

Moritz, Sebastian www.deutschlandfunk.de, Marktplatz

The following article of the Professional Services industry is: “Family Business M&A: The Strategic Role of Shareholder Agreements” by Javier García Hinojosa, Managing Partner, Clever BoD.

Ryan is back from a funeral and had some weird experiences, we make our living wills for what we want to happen when we die. We have another million dollar idea to pitch to the shark tank guys and we see what lil windex is up to. This and so much more on this week Clever Name PodcastBUY TRADING CARDS: https://www.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 to catch up on some of their recent news!Ep. 200: For our very special 200th episode, we're joined by world-renowned architect and designer Patricia Urquiola. While she's now known internationally, growing up in Spain as the middle child she was often forgotten. She found a certain joy in this freedom of being “in between”. Declaring she'd be an architect at age 13, she went on to study with the pioneers of the time, growing her roots in systemic thinking and Magic Rationalism. Now, Studio Urquiola is a powerhouse of international design. Having already made an indelible mark on the built world, Patricia continues to be a trailblazer of the “in between” – transforming how architecture, design, art, virtual space and AI all interact today, and how we think about the future. Images and more from Patricia on cleverpodcast.comClever 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 @amydevers 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!

A review and discussion of famed filmmaker Steven Spielberg's new science fiction fantasy adventure film, “Disclosure Day.”Support Extraterrestrial Reality/Quirk Zone on Patreon:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/c/Extraterrestrial_Reality⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out my YouTube channel:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Quirk Zone - YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Extraterrestrial Reality Book Recommendations:Link to ROSWELL: THE ULTIMATE COLD CASE: CLOSED: https://amzn.to/3O2loSILink to COMMUNION by Whitley Strieber: https://amzn.to/3xuPGqiLink to THE THREAT by David M. Jacobs: https://amzn.to/3Lk52njLink to TOP SECRET/MAJIC by Stanton Friedman: https://amzn.to/3xvidfvLink to NEED TO KNOW by Timothy Good:  https://amzn.to/3BNftfTLink to UFOS AND THE NATIONAL SECURITY STATE, VOLUME 1:  https://amzn.to/3xxJvlvLink to UFOS AND THE NATIONAL SECURITY STATE, VOLUME 2: https://amzn.to/3UhdQ1lLink to THE ALLAGASH ABDUCTIONS: https://amzn.to/3qNkLSgUFO CRASH RETRIEVALS by Leonard Stringfield: https://amzn.to/3RGEZKsFLYING SAUCERS FROM OUTER SPACE by Major Donald Keyhoe: https://amzn.to/3S7WkxvCAPTURED: THE BETTY AND BARNEY HILL UFO EXPERIENCE by Stanton Friedman and Kathleen Marden: https://amzn.to/3tKNVXn#ufos #aliens #vegas aliens #ufo podcast

A review and discussion of famed filmmaker Steven Spielberg's new science fiction fantasy adventure film, “Disclosure Day.”Support Extraterrestrial Reality/Quirk Zone on Patreon:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/c/Extraterrestrial_Reality⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out my YouTube channel:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Quirk Zone - YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Extraterrestrial Reality Book Recommendations:Link to ROSWELL: THE ULTIMATE COLD CASE: CLOSED: https://amzn.to/3O2loSILink to COMMUNION by Whitley Strieber: https://amzn.to/3xuPGqiLink to THE THREAT by David M. Jacobs: https://amzn.to/3Lk52njLink to TOP SECRET/MAJIC by Stanton Friedman: https://amzn.to/3xvidfvLink to NEED TO KNOW by Timothy Good:  https://amzn.to/3BNftfTLink to UFOS AND THE NATIONAL SECURITY STATE, VOLUME 1:  https://amzn.to/3xxJvlvLink to UFOS AND THE NATIONAL SECURITY STATE, VOLUME 2: https://amzn.to/3UhdQ1lLink to THE ALLAGASH ABDUCTIONS: https://amzn.to/3qNkLSgUFO CRASH RETRIEVALS by Leonard Stringfield: https://amzn.to/3RGEZKsFLYING SAUCERS FROM OUTER SPACE by Major Donald Keyhoe: https://amzn.to/3S7WkxvCAPTURED: THE BETTY AND BARNEY HILL UFO EXPERIENCE by Stanton Friedman and Kathleen Marden: https://amzn.to/3tKNVXn#ufos #aliens #vegas aliens #ufo podcast

12 June 2026 - Brent Barnes discusses the significance of adding CSL as the company's eighth top-20 pharmaceutical customer

This week's shout-out episode has EVERYTHING: brave moments, sneaky champions, hilarious surprises, and some wishes that made us laugh out loud!

Vacation is right around the corner, so this week's episode is a little shorter than usual, but it's still packed with fascinating stories.Hannah and Barbi kick things off by talking about crows and their incredible ability to recognize people, remember faces, and pass information along to other crows. The more they learn, the creepier and cooler these birds become.The conversation then shifts to the heartbreaking story of a town affected by asbestos exposure and the devastating impact it had on generations of families. It's a fascinating look at a piece of history that still has consequences today.To wrap things up on a lighter note, Hannah shares about an upcoming family adventure exploring a historic ship and submarine with Casey and the kids.It's a shorter episode, but it's full of interesting facts, surprising stories, and the kind of rabbit trails you've come to expect from Hannah and Barbi.

Hot Dr Pepper is great for those cold winter days. So Martin drinks a hot Dr Pepper Ryan left in the back of his car for a week. Ryan hates seatbelts and the fascist government is forcing the people to use them and Ryan only dates crazy. We do another round of shock Karaoke to help us hit the high notes, we are 3/4s the way through our gay song parody of Forever and we do the last edition of whats in the box that almost makes us puke.BUY 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, so be sure to subscribe to our Substack to catch up on some of their recent news!Mexican and American artist/designer/maker/activist Tanya Aguiñiga shares with Jaime and Amy what it was like growing up in Tijuana and crossing the US border every day to attend school in the US, how an accidental haircut during her troubled teenage years got her kicked out of the house, and how a dedicated mentor gave her the encouragement she needed to become an artist. She also recounts a few crazy stories featuring a clown, a bull and an eagle.Images and more from Tanya Aguiñiga 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.

Everybody has a story… and this one is worth listening to.On this episode of Shad Vs Everybody, Shad sits down with the one and only Desmond Clever Lester for a conversation filled with real-life experiences, lessons learned, and the kind of authentic dialogue that has made Shad Vs Everybody one of Detroit's most compelling platforms.Nothing is off limits as Shad and Desmond dive into the journey, the struggles, the victories, and the moments that helped shape the man behind the name. From personal growth and overcoming obstacles to chasing purpose and staying true to yourself, this episode is packed with insight, laughter, and plenty of those classic Shad moments that keep the conversation entertaining and unpredictable.As always, Shad Vs Everybody brings you unfiltered conversations with creators, thinkers, and everyday people whose stories deserve to be heard. Because sometimes the best interviews aren't about fame—they're about authenticity.

Your business name may be one of your most valuable assets, but is it actually protected?In this episode-style breakdown, we explore word mark trademarks and why they matter for startup founders, small business owners, creators, consultants, product companies, and anyone building a brand that customers need to recognize.A word mark trademark protects the wording of your brand name, slogan, product name, or phrase. It does not depend on your logo, font, color, or design style. That is why word marks are often so useful. Logos change. Websites change. Packaging changes. Sometimes the entire brand kit changes because someone discovered a new shade of blue and called it “strategic.” But the name often remains the anchor.This matters because customers usually search, recommend, and remember names. They type your name into Google. They say it in conversations. They tag it online. They compare it with competitors. If another business uses a confusingly similar name, the harm may happen even if the logos look completely different.We cover what a word mark is, how it differs from a logo trademark, and why the USPTO commonly refers to these as standard character marks when no particular font, style, size, or color is claimed. We also explain why distinctiveness matters. A made-up, arbitrary, or suggestive name is often stronger than a name that merely describes the product or service.That creates a real business tension. Descriptive names can be easier to market at first because customers immediately understand what you do. But they may be harder to protect. Distinctive names may require more explanation upfront but can become stronger long-term brand assets.We also talk through common mistakes. Registering an LLC does not automatically give you trademark rights. Buying a domain name does not mean you own the brand. Using ™ is not the same as having a federal registration. Filing a logo mark is not the same as protecting the wording of your name.For founders, these details matter because rebranding is expensive. It can affect your website, social profiles, packaging, signage, customer trust, SEO, ads, contracts, app listings, and every pitch deck you already sent into the wild.This episode also breaks down the practical steps: choose the exact wording, confirm it functions as a brand, evaluate distinctiveness, conduct a clearance search, identify the correct goods and services, decide whether to file based on current use or intent to use, file carefully, monitor the application, and maintain the registration after approval.We also discuss why trademark registration is not the finish line. A mark must be used consistently, monitored, and maintained. Enforcement should be strategic and proportionate. Not every conflict requires a lawsuit, but ignoring real confusion can weaken your position and damage customer trust.The big lesson is simple: your brand name is not just decoration. It is a business asset. A word mark can help protect that asset before competitors, copycats, or confusingly similar names start creating problems.If you are building a company, launching a product, creating a course, naming a podcast, or scaling a service business, this topic is worth understanding before you invest heavily in branding.Because copycats rarely arrive with a warning label. They usually show up with a similar name, a cheaper logo, and the confidence of someone who skipped the trademark search.To chat about this one-on-one, grab a free consult at strategymeeting.com

With 13 years of working in and alongside ministry, Shelby Black is the co-founder of Bellwether, an AI-powered platform built specifically for ministry leaders. Shelby brings both personal conviction and operational experience to the conversation around AI in the church.Her work with Bellwether started from a simple belief: no one should feel forgotten by their church. That conviction is now the foundation of a tool helping ministry teams see their people more clearly. Alongside Bellwether, Shelby serves as Director of Growth at Clever, a digital marketing agency serving churches and nonprofits.Together with her husband Andy — a technical co-founder with deep ministry roots of his own — they bring 28 combined years of ministry experience to the question of how AI should be developed, adopted, and stewarded in faith communities.She lives in the Denver area with Andy and their two young kids.Dale Sellers and Joseph Bennett talk with Shelby about 10 practical AI guardrails for churches—data privacy, transparency, pastoral boundaries, automation risks, and how pastors can lead congregations already using AI.Show Notes: https://95network.org/95podcast-341-summary-ai-guardrails-for-churches-practical-guidelines-for-ethical-safe-ministry-use-w-shelby-black/Support the show

Shannon Gabor is the Founder, CEO, and driving entrepreneurial force behind Clever Creative, a premier, woman-owned and operated brand strategy and creative agency based in Los Angeles. Cut from the cloth of a fine artist but wired with a sharp business mind, Shannon graduated from the University of Southern California with a degree in Fine Arts and a minor in Communications. She built her early career working in fast-paced entertainment promotions for giants like Burger King and 7-Eleven, before spending five years at Mattel, Inc. leading global packaging design and worldwide licensing for major franchise properties, including the Barbie product line.

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!

You've listened to Neville's words. Now practice living from them. Join Unlock God Mode at unlockgodmode.org and begin a 30-day journey into state, assumption, self-concept, and conscious creation.  ------------------------ Start here: nevillegoddard.com – download Neville Goddard's most powerful book free and receive weekly insights to help you manifest.  ------------------------ NEW PODCAST: Follow the brand new Neville Goddard Podcast on Spotify, Apple Podcasts, or your favourite podcast platform. The Neville Goddard Podcast is dedicated to bringing Neville's timeless ideas into a modern, immersive format you can return to again and again. This is a modern faithful interpretation of Neville Goddard's most powerful teachings. Listen to Episode 1 on Spotify → Listen to Episode 1 on Apple Podcasts →   ---------Neville once said, “Assumption, if persisted in, will harden into fact.” That one truth is enough to change your life. The question is, how do you live from that place, day by day? That's exactly what Unlock God Mode was created to help you do.If you've been waiting for a sign to take Neville's teachings deeper and make them the rhythm of your daily life, this is it. Start your journey now: unlockgodmode.org. ---------The Clever Rascal The Unjust Steward (Neville Goddard, 1964 Lecture) ***Download the free Neville Goddard PDF Guide at manifestwithneville.com - Discover the transformative power of Neville Goddard's wisdom with this FREE 60-page guide on his 12 timeless principles of manifestation and reality creation.★ Follow the podcast for daily lectures from the mystic Neville Goddard ★FREE RESOURCES:• Join the FREE Neville Goddard newsletter• Join the FREE Telegram Channel• Feeling is the Secret • Full Audiobook* * *The James Xander Trip Podcast:• Listen on Spotify• Listen on Apple Podcasts• Listen on YouTubeDIVE DEEPER:• The Unlock God Mode Course• The Infinite Wealth Guided Meditation* * *ABOUT NEVILLE GODDARD:Neville Goddard (1905-1972), was an English writer, speaker and mystic. He grew up in Barbados and moved to the United States of America as a young adult. Neville Goddard was perhaps the last century's most intellectually substantive and charismatic purveyor of the philosophy generally called New Thought. He wrote more than ten books under the solitary pen name Neville, and was a popular speaker on metaphysical themes from the late 1930s until his death in 1972.Possessed of a self-educated and uncommonly sharp intellect, Neville espoused a spiritual vision that was bold and total: Everything you see and experience, including other people, is the result of your own thoughts and emotional states. Each of us dreams into existence an infinitude of realities and outcomes. When you realize this, Neville taught, you will discover yourself to be a slumbering branch of the Creator clothed in human form, and at the helm of limitless possibilities.Neville's thought system influenced a wide range of spiritual thinkers and writers, from bestselling author Dr. Joseph Murphy to Rhonda Byrne and Wayne Dyer.He has inspired and continues to inspire millions of readers around the world.* * *SOCIALS:• Neville Goddard Newsletter• Neville Goddard Telegram• Neville Goddard Instagram• Neville Goddard Threads• Neville Goddard Twitter• Neville Goddard YouTube* * *ABOUT THE COURSEUnlock God Mode is a transformative 30-day course designed to accelerate your journey towards greater wealth, love, and success through a deeper understanding and manipulation of your reality.  Comprising of 30 audio lessons, this course unfolds as a self-paced, introspective expedition into reality creation, aiding you in elevating your consciousness to what's referred to as the God Mode. Throughout this journey, practical tools will be provided daily to help enrich your life with more love, money, and success by altering your mental models and perceptions. This course combines theory and hands-on experience to create a unique deep dive into manifestation, consciousness, and reality creation. Join me on an extraordinary, 30-day adventure (1 lesson per day) and watch your reality transform. Begin the Unlock God Mode experience today »* * *Follow Neville Goddard on Telegram, Instagram, Threads, Twitter, and YouTube.★ Join the FREE Neville Goddard newsletter ★» For the Neville Goddard listener: Access the 30-Day Unlock God Mode Program «----------

The Peices on the board are much more than they seem!www.Rollmonger.comRoll Mongers Merch!Support us On Patreon!Cast:-Host/GM Jeff Ball -PlayersMatt WittRyan MessinaDoug Baldwin-Extended Cameos byAndrew MalBurgJoe GibsonA Huge THANK YOU! To Our Patreon Supporters: "GrooveLord" & "ExploShawn" Matt Kenney, Daniel Harris, Allen Cooper Jr. Jered Mercer, "NarkMaul" Stephen Cahill (www.Patreon.com/RollMongers)Products through Our Affiliate link below. http://affiliates.fantasygrounds.com/370352/15958http://affiliates.fantasygrounds.com/370352/15958https://podcast.feedspot.com/pathfinder_roleplaying_game_podcasts/Music: (Evan King) Intro/Outro: "Singularity"Edvard Grieg Peer Gynt Suite no 1 morning mood written in 1875 as incidental music to Henrik Ibsen's play of the same name, and was also included as the first of four movements in Peer Gynt Suite No. 1, Op. 46. Free classical music for youtube videos. Most popular classical songs download. Commercial use allowed.Makai Symphony https://makai-symphony.bandcamp.com/a.... "Tafi Maradi"Kevin MacLeod (https://incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/b..."Slow Heat" Kevin MacLeod (https://incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/b... "Digya" Kevin MacLeod (https://incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/b... "Kumasi Groove" Kevin MacLeod (https://incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/b... "Monkoto" Kevin MacLeod (https://incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/b... Too Cool kevin macloud Tabletop audiohttps://Tabletopaudio.com"Xiengi Nights" CyberBar, Castle jail, Super Hero, Volcano, Jungle ruins, Medevil Market,Hell Hound Alley, Halfling Sneak, mansion Night,WaterKeep Nights,ravenpuff Commons, Tavern Music, metropolis fanfare, Sun Dappled trail, Through The Woods,The Hearth Inn, FeywildMedevil Town,Cathedreal,Tavern Celebraton,Castle jail, Waterkeep, Desert Winds, Escape From Shadow, Black Rider, Tavern Music,Halfling Sneak,Blacksmith Shop, Forest Night,Raven Puff,Whispering Caverns, Country Village, Victorian Slums, Catacombs, ,Makai Symphony https://makai-symphony.bandcamp.com/a.... "Tafi Maradi"Kevin MacLeod (https://incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/b...Kevin_MacLeod_-_Virtutes_InstrumentiVilon,Kevin_MacLeod_-_Sonatina,Kevin_MacLeod_-_Schmetterling,Kevin_MacLeod_-_Virtutes_InstrumentiVilon, Kevin_MacLeod_-_Trio_for_Piano_Violin_and_Viola, "Slow Heat" Kevin MacLeod (https://incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/b... "Digya" Kevin MacLeod (https://incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/b... "Kumasi Groove" Kevin MacLeod (https://incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/b... "Monkoto" Kevin MacLeod (https://incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/b... Lee_Maddeford_-_12_-_Tki_with_Les_Gauchers_OrchestraToo Cool kevin macloud Tabletop audiohttps://Tabletopaudio.com"Xiengi Nights" CyberBar, Castle jail, Super Hero, Volcano, Jungle ruins, Medevil Market,Hell Hound Alley, Halfling Sneak, mansion Night,WaterKeep Nights,ravenpuff Commons, Tavern Music, metropolis fanfare, Sun Dappled trail, Through The Woods,The Hearth Inn, Feywild, Windswept plainsUploaded to You Tube @ The Roll mongers Podcast network "Bond Theme" Tom Schlueter https://soundcloud.com/tomschlueter/j... https://www.youtube.com/channel/UCc2w.... Evan King -- https://www.RollMonger.com https://www.TeeSpring.com/RollMongers for Merch! https://www.Patreon.com/RollMongers Thank You For your needed Support! https://www.RollMonger.com https://www.TeeSpring.com/RollMongers for Merch! https://www.Patreon.com/RollMongersReserved Material: Reserved Material elements in this product include all elements designated as Reserved Material under the ORC License. To avoid confusion, such items include: All trademarks, registered trademarks, proper nouns (characters, deities, locations, etc., as well as all adjectives, names, titles, and descriptive terms derived from proper nouns), artworks, characters, dialogue, locations, organizations, plots, storylines, and trade dress.Expressly Designated Licensed Material: This product contains no Expressly Designated Licensed Material.PAIZO INC.Creative Directors • James Jacobs and Luis LozaDirector of Game Design • Jason BulmahnDirector of Visual Design • Sonja MorrisDirector of Game Development • Adam DaigleManaging Creative Director (Starfinder) • Thurston HillmanLead Developers • James Case and John ComptonSenior Developers • Jessica Catalan, Eleanor Ferron, and Jenny JarzabskiDevelopers • Bill Fischer, Michelle Y. Kim, Mike Kimmel, Dustin Knight, and Landon WinklerLead Designer (Games) • Joe PasiniOrganized Play Line Developers • Josh Foster and Shay SnowDesign Manager • Michael SayrePathfinder Lead Designer • Logan BonnerSenior Designer • Jason KeeleyDesigners • Joshua Birdsong and Ivis K. FlanaganManaging Editor • Patrick HurleyLead Editor • Avi KoolSenior Editors • Ianara Natividad, Solomon St. John, and Simone D. SalléEditors • Felix Dritz, Priscilla Lagares, Lynne M. Meyer, and Zac MoranConcept Art Director • Kent HamiltonArt Directors • Kyle Hunter and Adam VickSenior Graphic Designer • Emily CrowellGraphic Designer • Adriana GasperiProduction Designer • Danika WirchDirector of Brand Strategy • Mark MorelandPaizo CEO • Lisa StevensPresident • Jim ButlerChief Creative Officer • Erik MonaVice President of People & Culture • Maggie GallagherVice President of Sales & Operations • Mike WebbVice President of Technology • Rei KoController •Become a supporter of this podcast: https://www.spreaker.com/podcast/pathfinder-2e-age-of-ashes-the-elven-portal-podcast--4189253/support.

Dodds joins us to talk about @billyisterrible seeing our Stuart Little Card, and spot some bars to see if we can get a feature. A fan has made an edit of the "forever" gay parody, Dodds cheats at our version of head bandz and we make our list of goals for June. Ryan gets lint stuck in his ball hair, Dodds defends Luke Bryans new Ai slop song and we check in on the fanime convention where people are selling drinks mixed by the feet of cosplay girls. All this and so much more on this weeks Clever Name Podcast BUY 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

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.

Gewisse Lockpflanzen im Gemüsegarten ziehen Schädlinge an. Sie werden anstelle der Gemüsepflanzen befallen, das Gemüse bleibt dank ihnen verschont. Jetzt aktuell: Blattläuse, Fadenwürmer, Schnecken, Spargelhähnchen, Rapsglanzkäfer. Blattläuse saugen Pflanzensaft und schwächen die Pflanzen: · Niedrige Kapuzinerkresse einzeln zu den Bohnen, zum Salat oder ins Rüebli- und Kohlbeet säen. Sie zieht Blattläuse magisch an. · Nach dem massenweisen Befall wegnehmen und der Grünabfuhr mitgeben. Rapsglanzkäfer sind winzige, kleine, schwarze Käfer, die zuerst in der Landwirtschaft die Knospen des Raps schädigen. Danach tauchen sie massenweise in den Gärten auf und befallen die Brokkoliknospen. Diese sind nicht mehr essbar. · Brokkoli in der Mitte des Beetes setzen, rechts und links davon Asiasalat säen. · Zu Beginn wie Schnittsalat ernten, er wird in der Wärme schnell aufstängeln und blühen und dadurch die Rapsglanzkäfer an sich binden. Im Boden leben verschiedene Fadenwürmer. Einige Arten befallen die Wurzeln von Rüebli, Sellerie, Bohnen, Salat, Zwiebeln, Erbsen und Lauch und schwächen sie. · Studentenblumen (Tagetes patula) überall dazwischen setzen. Die Nematoden saugen an den Wurzeln, die giftigen Saft enthalten und sterben ab. Spargelhähnchen schädigen die Spargeln durch Frass und legen ihre Eier an den Stängeln ab. Die Larven fressen an den Blättern und schwächen die Pflanzen. · Dünne Stangen als Ablenkfutter stehen lassen. Sie sind für den Käfer attraktiver, da sich die Knospen schnell öffnen. · Nachdem ab Mitte Juni die Eier abgelegt wurden, abschneiden und dem Grünkompost mitgeben. · Im Herbst sämtliches Spargelkraut abschneiden und dem Grünkompost mitgeben, da die ausgewachsenen Spargelkäfer zum Teil in den Stängeln überwintern. Schnecken fressen mit Vorliebe zarten Salat oder junge Kohlpflanzen. · Einen Streifen Studentenblumen (Tagetes) oder grünen Schnittsalat am Beetrand von Kohl, Salat einsäen. Es zieht die Schnecken an und hält sie vom Gemüse im Innern des Beetes ab.

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!

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.

We're constantly being warned about scammers online trying to get access to your bank account and important info, and long gone are the days of Nigerian Princes promising you millions - the scams are getting more sophisticated.So, how do you avoid them today?Joining Seán to discuss is Muriel Foley, Digital Consultant.

We're back after a short break and we have the brilliant Milo Edwards being really clever and funny for us! We've also got the draw for the next round of our 'Rogues of Entertainment' and so much more! Find Milo here: @milo_edwards on your favourite social media. Get in touch by emailing GotaProblemMate@gmail.com or searching for 'Got a problem mate' on your favourite social media platform xo Here's that speak pipe link: speakpipe.com/gapm Discord: https://discord.gg/7T8aaF6MhJ Intro and graphics by: Craig Lamberton Music by: Dewaud (on bandcamp) Learn more about your ad choices. Visit podcastchoices.com/adchoices

Ryan has been fighting with Indians on the internet again, we have been rejected from the Norman Polycule and Ryan gives us another example of the things he thinks of at night. Ryan has become a famous rapper and has wrote some new bars for us and we have a fresh pack of trading cards just released. All this and more on this weeks Clever Name Podcast. BUY 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. 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.

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!

In this interview, Dr.SHIVA Ayyadurai, MIT PhD, Inventor of Email, Scientist, Engineer and Candidate for President, Talks about Massie Misleader: How “Clever” Appeasement Misleads the Movement

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'

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.

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

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.

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

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.

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.

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

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.