Podcasts about Chai

On The BIG Show today, it's World Cup season, so we're talking must-have snacks and more! Connect with us on Instagram: @kiss92fm @Glennn @angeliqueteo @officialtimoh Producers: @shalinisusan97See omnystudio.com/listener for privacy information.

Être restaurateur.ice aujourd'hui, c'est souvent être à la fois chef.fe, gestionnaire, recruteur.euse, communicant.e et entrepreneur.euse. Mais comment s'y préparer ? Peut-on vraiment apprendre ce métier sur le tas, ou faut-il repenser la formation pour mieux accompagner celles et ceux qui se lancent ?Et si formation obligatoire il y a, que contiendrait-elle, au juste ?Entre parcours autodidactes, écoles hôtelières et reconversions, ce TOAST interroge les chemins qui mènent à l'ouverture d'un restaurant, et les compétences (visibles ou invisibles) que cela exige. Une discussion pour partager expériences, doutes et pistes d'évolution pour la profession.Autour de la table ronde :• Louise Perrone - Cheffe propriétaire du restaurant Rouge (Marseille)• Edgar Baudin - Cofondateur de l'Abri, restaurant et Chai urbain (Marseille)• Juliette Laguionie - Responsable de formations (la Cadenelle) et ancienne restauratriceUn échange animé par Laurène Petit (journaliste et co-secrétaire générale de La Communauté Ecotable).Un format cuisiné par les associations Festin et La Communauté Ecotable, membres pilotes du mouvement Restaure, qui œuvre pour une restauration plus responsable, solidaire et durable !Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Welcome back to The Chai on Life Podcast! Today, I'm speaking with Guila Sandroussy, the creator of Tasty and Hasty which is an Instagram account and website filled with kosher food recipes that as the name suggests, are both fast and delicious.Since summer is finally here, I'm sure we all want to spend less time in the kitchen and more time in the sunshine and Guila is helping us with just that. She is spilling all her tips to cooking more efficiently whether it's for Shabbat or weeknight dinners.In our conversation, we speak about:-How she got started as a food blogger-How her Moroccan background influences her cooking today, and also how it doesn't-Where she gets the inspiration for her recipes and how you can do the same-How to plan out your weekly meals in a way that is not overwhelming and makes it feel so easy-Her Shabbat planning and cooking process broken down-Why challah has become a mitzvah she feels really connected to and how she makes time for it-She takes us behind the scenes of her content creation process from how long things take to film to the editing and even answering messages-How she brings cooking into her motherhood journey with her kids — from helping them become less picky eaters to bringing them into the kitchen with her when they're interested in learning…and SO MUCH MORESome of the things we discussed in the episode:Recipes from Guila with 9x13, sheet-pan ideas and freezer tipsQuick-meal links:Easy 9x13 Chicken and Rice9x13 Kids PastaFollow on Instagram:@TastyandhastyIf there is someone you want to see on The Chai on Life Podcast, email alex@chaionlifemag.com or send a DM @chaionlifemag.

Good morning from Pharma Daily: the podcast that brings you the most important developments in the pharmaceutical and biotech world. Today, we delve into a series of significant advancements shaping the landscape of our industry. As technology continues to redefine traditional paradigms, the collaboration between Pfizer and Chai Discovery exemplifies this trend. By harnessing artificial intelligence, particularly through custom models like Chai-3, this partnership aims to revolutionize drug discovery. The integration of AI promises not only to accelerate the identification of biologics and antibodies but also to optimize resource allocation in research and development. Such technological integration could pave the way for an enhanced pipeline of innovative treatments, marking a transformative shift in how therapeutic candidates are developed. In the realm of regulatory developments, Lupin's Ranluspec has recently received FDA approval as an interchangeable biosimilar targeting VEGF-A for various retinal conditions. This move underscores the importance of biosimilars in providing cost-effective alternatives to expensive biologics, thereby expanding patient access to essential treatments for conditions like macular degeneration. Additionally, the MHRA's marketing authorization for Aujemflu, an adjuvanted trivalent influenza vaccine for adults aged 50 and over, reflects ongoing efforts to bolster protection against infectious diseases among vulnerable populations. Clinical trial advancements continue to highlight significant progress in therapeutic development. Otsuka Pharmaceuticals' Phase 3 data on Voyxact has shown promising stabilization of kidney function in patients with Immunoglobulin A nephropathy. This protein therapy targets autoimmune pathways, offering new hope for managing this chronic kidney condition. Similarly, Autobahn Therapeutics' Elunetirom has advanced to a pivotal trial following Phase 2 success in treating bipolar depression. This showcases the potential of small molecule therapies targeting thyroid hormone receptors. Meanwhile, Hikma Pharmaceuticals' victory in a landmark patent case regarding skinny labels marks an important development in pharmaceutical intellectual property rights. The unanimous Supreme Court ruling against Amarin supports the legitimacy of using skinny labels to market generic versions of drugs for non-patented indications. This decision could enhance market competition and drive down healthcare costs, setting a precedent for future intellectual property disputes. On the business front, strategic partnerships and mergers continue to shape industry dynamics. Gilead Sciences' acquisition of Ouro Medicines for $1.675 billion strengthens its autoimmune inflammation pipeline. This transaction exemplifies how major deals are reshaping therapeutic portfolios in response to growing demand for treatments targeting rare diseases. Financially, Solix Pharmaceuticals' success in raising $71 million to advance its siRNA pipeline across multiple therapeutic areas demonstrates investor confidence in RNA-based therapeutics as a promising frontier for innovative treatments. Conversely, challenges persist as evidenced by Takeda's $2.5 billion legal provision over an antitrust case related to Amitiza, underscoring ongoing financial risks associated with litigation in the pharmaceutical sector. Corporate restructuring also signals shifts within the industry landscape. Fulcrum Therapeutics' decision to lay off 85% of its workforce following the discontinuation of its sickle cell disease candidate highlights the volatility and high stakes inherent in drug development. Overall, these developments illustrate a dynamic landscape where scientific innovation is propelled by AI-driven approaches and strategic collaborations while regulatory victories and financial maneuvers shape market dynamics. These trends have profound implications for patient care by potentially accelerating the availability of novel therapies and fostering a competitive environment that drives down costs. As we look ahead, stakeholders must navigate these complexities effectively to harness opportunities and address challenges within this rapidly evolving industry landscape. The ability to adapt and capitalize on emerging trends will be crucial as these sectors continue to evolve, ultimately enhancing patient care and advancing therapeutic frontiers globally. Thank you for joining us today on Pharma Daily; stay tuned for more insights into the ever-changing world of pharmaceuticals and biotech.Support the show

Mohnish Pabrai's Interview with Stig Brodersen at The Investor's Podcast on March 23, 2026. (00:00:00) - Introduction (00:00:41) - Berkshire Hathaway: Warren Buffett vs. Greg Abel (00:04:39) - Greg Abel vs. Ajit Jain; Compensation at Berkshire (00:08:15) - Investing horizon of 50-100 years; Berkshire Hathaway vs. S&P 500 index (00:09:48) - Running my own company and team; Delegation and structuring (00:12:34) - Pabrai Wagons ETF (00:13:24) - Inner scorecard vs. Outer scorecard (00:16:16) - Investing in Turkey; Micro trumps the macro (00:18:44) - Diversification of portfolio; Walmart (00:21:25) - Constellation Software Services; Mark Leonard (00:25:14) - Frontline; Micheal Burry (00:29:58) - Met coal vs. IPSCO; CONSOL Energy & AMR (00:35:48) - Selling a stock; Walmart and Nifty 50 in 1970's (00:39:49) - Portfolio concentration (00:41:24) - What I Learned About Investing from Darwin by Pulak Prasad; Microsoft & Walmart (00:44:22) - Guy Spier The contents of this website are for educational and entertainment purposes only, and do not purport to be, and are not intended to be, financial, legal, accounting, tax or investment advice. Investments or strategies that are discussed may not be suitable for you, do not take into account your particular investment objectives, financial situation or needs and are not intended to provide investment advice or recommendations appropriate for you. Before making any investment or trade, consider whether it is suitable for you and consider seeking advice from your own financial or investment adviser. Views expressed on Chai with Pabrai are exclusively those of Mohnish Pabrai and not of any affiliated firm or organization.  The interview host is an investor in Pabrai Funds and therefore has a financial interest in the funds' performance, which creates a potential conflict of interest. The host was not compensated for this interview. The views expressed are those of the host and Mohnish Pabrai and do not constitute investment advice or a recommendation to invest. 

Hii leo jaridani tunakuletea mada kwa kina inatupeleka nchini nchini Rwanda. Kufuatia changamoto zinazoongezeka kutokana na mabadiliko ya tabianchi, kupanda kwa gharama za mbolea na ushindani wa masoko ya kikanda, Shirika la Umoja wa Mataifa la Chakula na Kilimo FAO linashirikiana na nchi ya Rwanda kutekeleza mkakati mpya wa kuimarisha sekta ya chai lengo likiwa ni  kuboresha zao hilo na kuinua pato la mkulima.Mlinda amani wa Umoja wa Mataifa anayehudumu nchini Lebanon amefariki dunia na wengine wawili wamejeruhiwa mapema leo Alhamisi baada ya makombora ya mizinga kulenga eneo lao la kazi karibu na Marjayoun kusini mashariki mwa nchi hiyo, imesema taarifa ya Kikosi cha Mpito cha Umoja wa Mataifa nchini Lebanon UNIFIL. Katibu Mkuu wa Umoja wa Mataifa anatarajiwa kutoa taarifa kuhusu tukio hilo muda wowote kuanzia sasa.Shirika la Umja wa Mataifa la afya Duniani, WHO, limesema chakula kisicho salama kinaendelea kuwa tishio kubwa kwa afya ya umma duniani, kikisababisha takribani wagonjwa milioni 866 na vifo milioni 1.5 kila mwaka, huku watoto wenye umri wa chini ya miaka mitano wakiwa katika hatari kubwa zaidi. Kwa mujibu wa ripoti mpya watoto hao wadogo, ambao ni asilimia 9 tu ya idadi ya watu duniani, wanachangia karibu theluthi moja ya magonjwa yote yanayosababishwa na chakula.Leo ni siku ya watoto wasio na hatia waathirika wa ukatili duniani, maadhimisho haya yanakuja wakati ambapo ripoti ya Mwaka ya Katibu Mkuu wa Umoja wa Mataifa kuhusu Watoto na Migogoro ya Silaha inaonesha kwamba ukatili dhidi ya watoto katika migogoro ya silaha ulifikia viwango visivyo vya kawaida mwaka 2024, huku kukiwa na ongezeko la asilimia 25 la ukiukwaji mkubwa wa haki za binadamu ikilinganishwa na mwaka uliopita.Na katika kujifunza lugha ya Kiswahili, leo mchambuzi wetu ni Dkt. Josephat Gitonga, ambaye ni Mhadhiri katika Chuo Kikuu cha Nairobi nchini Kenya, kwenye kitivo cha Tafsiri na Ukalimani anafafanua maana ya methali “La kiliwacho kisicholiwa ni sumu”."Mwenyeji wako ni Flora Nducha, karibu!

Perfectionism has a sneaky way of turning a perfectly good life into a project you can never finish. I sit down with author, fiber artist, and motivational speaker Lorie Kleiner Eckhert to talk about reinvention, resilience, and the moment you decide that “good enough” is not failure, it's freedom. Lorie's newest book, Chai On Life (a playful nod to “chai,” the Hebrew word for life), becomes our jumping-off point for how to move through big transitions with more self-trust and less self-criticism.We get practical and personal: why many of us wait decades to give ourselves permission to do what makes us happy, what divorce and midlife singlehood taught Lorie about independence, and how a complicated “perfect” chicken soup recipe captures the problem with overthinking everything. Lorie also shares how quilts became her visual storytelling tool on stages from PTAs to Procter & Gamble, and why returning to simpler, more durable creativity helped her come back to herself.If you're feeling stuck, Lorie offers a clear two-step reinvention plan: keep your healthy daily routine even when you're hurting, then take one tiny step a day toward your new life and write it down in an accountability log. We also normalize therapy and counseling as ongoing emotional support, not a last resort, and we end with a favorite idea: being “flawsome” and giving yourself credit for the brave next step.Subscribe for more conversations on personal growth, mental fitness, creativity, and navigating life transitions, then share this with a friend who needs a little lift and leave a review so more people can find us. What's one tiny step you'll take today?Connect with Lorie HEREHer newest book, Chai on Life, is available at Amazon and anywhere quality books are sold. Let me know what you'd like to hear more about on the showSupport the showI'm Carol Clegg, your host, an accountability coach and curious conversationalist inviting guests from a wide range of backgrounds to share insights on how they live, think, and navigate change.If you enjoy reflection, fresh perspectives, and honest dialogue, this space is for you.If you'd like to experience this work in community, I host a complimentary monthly Accountability Circle  a supportive space to pause, gain clarity, and choose a gentle next step forward. More info at https://carolclegg.com/accountabilitycircleFor those ready for deeper, more consistent support, I also offer a 90-day Accountability Package, designed to help you move from scattered ideas to steady, sustainable momentum.You can learn more at carolclegg.comLet's connect on LinkedIn and Instagram, or join my LinkedIn Group Flourish: A Community for Women Business Owners

Welcome back to The Chai on Life Podcast! Today, 'm speaking with Rebbetzin Sara Yoheved Rigler. For those who do not know Rebbetzin Rigler, she is a best-selling author, speaker and teacher and this is actually her second time on The Chai on Life Podcast. She is our first second-time guest and I am so grateful for her for returning.The reason she is back is to discuss her brand new book, 8 Seconds to Connect with Hashem: Mitzvah Mindfulness for Women. The whole idea of the book is about turning everyday actions into moments of connection. With clear guidance and short intention statements, even routine tasks―like drinking water or doing laundry―can become meaningful mitzvos.I was blessed to hear about this concept from Rebbetzin Rigler on one of her classes through Jewish Workshops and after reading an early copy of the book, tried practicing it on my own. As you'll hear more about in our interview, it's truly a transformational idea. In a really small way, you can change your whole relationship with Hashem for the better.In our conversation, we speak about:-Why she wanted to write this book-Why this action creates so much more love for and with Hashem-How to do this when things feel tough and you're going through challenges in life-The importance of doing a mitzvah with simcha-The two things that might get in the way of doing this practice effectively — and how to both watch out for and overcome those-Why you can apply this concept to literally anything you're doing throughout the day — even serving Hashem with your yetzer hara…and so much more!For the most up to date information, you can go to the book's website, 8secconnect.com.To listen to the first episode with Rebbetzin Rigler, click here.More relevant links:Order the book on AmazonSararigler.comHello Habit app

Clapping

Mental Models for Exceptional Capital Allocation by Mohnish Pabrai at Heilbrunn Center for Graham and Dodd Investing on April 21, 2026. (00:00:00) - Introduction (00:02:03) - Charlie Munger's mental models (00:03:54) - Model 1: The Bedrock model: Take a simple idea and take it seriously (00:04:51) - Model 2: Ben Graham's three ideas on markets (00:05:28) - Model 3: Do not overdose on Ben Graham; Poor Charlie's Almanack, Philip Fisher, and Pulak Prasad (00:06:27) - Model 4: Buffett's lifetime 20-punch card (00:07:15) - Model 5: Stay in the epicentre of your circle of competence; John Arrillaga (00:09:09) - Model 6: A high error rate is guaranteed in investing (00:09:26) - Model 7: Circle the wagons: the 4% rule (00:10:36) - Berkshire's 12 best decisions in 60 years (00:12:02) - Mistakes in investing: Ferrari, Progressive Insurance & Goldman Sachs (00:12:55) - Model 8: Do not cut flowers and water weeds; The Nifty 50 crash in the 1970s & Walmart (00:15:34) - Model 9: Be a shameless cloner; VIC & Dataroma; Gimat Gross (00:16:43) - Model 10: History does not repeat itself; Investing in Turkey & Reysas (00:19:50) - Model 11: Explain your investment thesis in 3-4 sentences to a 10-year old (00:19:58) - Model 12: You always need a rope to get out of the deepest well (00:23:14) - Model 13: Nick Sleep; Zen and the Art of Motorcycle Maintenance (00:26:52) - Model 14: Thou shall not use Excel (00:27:17) - Model 15: Use a pre-investment checklist (00:28:06) - Model 16: Be singularly focused like Arjuna (00:29:27) - Read the footnotes; Turn every page: Robert Caro (00:31:16) - Model 17: Enjoy hunting for needles in haystacks; Buffett's childhood entrepreneurial adventures (00:33:40) - Japanese Company Handbook; My introduction to Charlie Munger & Debbie Bozanek (00:37:27) - Model 18: Your deepest desire is your destiny (00:38:53) - Model 19: You should always have someone to discuss your investment ideas with; Li Lu (00:40:45) - Model 20: The mistress is always hotter than the wife!  (00:41:12) - Model 21: Neither a short-term borrower nor a long-term lender be (00:41:33) - Model 22: Introduce randomness into your life; Peter Lynch's One up on Wall Street (00:43:11) - Model 23: Be a Swiss Army knife (00:43:24) - Model 24-26: Focus on spin-offs, uber cannibals & spawners; Alpha-Metallurgical Resources (00:44:02) - Model 27: Arbitrage is wonderful; Transocean vs. Valaris (00:44:17) - Model 28: Heads I win, Tails I don't lose much!; IPSCO and CONSOL Energy (00:46:10) - Model 29: Focus on low-risk; high uncertainty bets (00:46:45) - Model 30: Do not skim off the top (00:47:23) - Book recommendations: Poor Charlie's Almanack, Influence & Excellent advice for living (00:47:41) - Investing in Turkish vs. Indian markets (00:50:17) - Follow your passion  The contents of this website are for educational and entertainment purposes only, and do not purport to be, and are not intended to be, financial, legal, accounting, tax or investment advice. Investments or strategies that are discussed may not be suitable for you, do not take into account your particular investment objectives, financial situation or needs and are not intended to provide investment advice or recommendations appropriate for you. Before making any investment or trade, consider whether it is suitable for you and consider seeking advice from your own financial or investment adviser. Views expressed on Chai with Pabrai are exclusively those of Mohnish Pabrai and not of any affiliated firm or organization.

For Arki Talks Merch Please contact Chai https://www.facebook.com/search/top?q=ch%C3%A4i%20siangcoTo leave Mark, Chai, and Mau a message for them to answer on the show, please go to linktr.ee/ArkiTalksPodcast Listen to us: Spotify: https://open.spotify.com/show/4ovl3sUF3KBaws8qu68wmH Apple Podcast: https://podcasts.apple.com/us/podcast/arki-talks/id1513048968?uo=4 Google Podcast: https://www.google.com/podcasts?feed=aHR0cHM6Ly9hbmNob3IuZm0vcy8xZTg0ODMyMC9wb2RjYXN0L3Jzcw== Anchor FM: https://bit.ly/3DkZhE2 Subscribe to us: Spotify: https://bit.ly/2Ikqc8j Apple Podcast: http://apple.co/39hpmDl Google Podcast: http://bit.ly/2LEPAHr Anchor FM: http://bit.ly/3q9Bblw

Amler, Franziska www.deutschlandfunkkultur.de, Studio 9

E chegou a vez de Jordana Morais e Gabi Saporito no PodDelas! As ex-participantes do BBB26 abriram o jogo sobre tudo o que viveram dentro e fora da casa mais vigiada do Brasil.No episódio, elas falam sobre rivalidades, estratégias, amizades, enfim, tudo o que viveram e que ficou marcado! Jordana relembra os embates com Ana Paula, a repercussão das brigas e como foi ser vista como uma das participantes mais intensas do BBB26. Já Gabi conta bastidores do Quarto Branco, a amizade com Chai e os momentos mais difíceis emocionalmente dentro da casa.Um papo sincero sobre BBB26, reality show, internet, julgamentos, fama e tudo o que aconteceu depois da eliminação.#PodDelas #BBB26 #JordanaMorais #GabiSaporito______________________________________________________ LISTERINE®️ Cuidado Total — o enxaguante mais completo da marca. Ele tem 5x mais poder de limpeza*, alcançando áreas que muitas vezes a gente não consegue chegar com apenas escovação e fio dental. Saiba mais: https://bit.ly/4eRxVYQ5x mais poder de limpeza* do que apenas o uso da escovação e fio dental. Redução de placa combatendo germes causadores; não substitui escovação e fio dental.______________________________________________________Ouça agora na Audible mais de 850 mil audiolivros! Acesse: https://www.audible.com.br/pd/Nem-te-conto-Audiolivro/B0GVL7VF1X?source_code=BAWP30DTRIAL7140504264272

This episode originally aired on June 3, 2024 but is just as relevant today. Enjoy and wishing everyone a beautiful Shavuos! Today we have a really exciting episode to gear up for Shavuot with Esteemed Educator, Speaker and Kallah Teacher Nalini Ibragimov.If you know Nalini, you already know how special she is. I had the privilege of meeting her nearly 12 years ago now when she co-founded a group called Souled, which was a weekly class for young professional women who had been on Israel trips or other programs and wanted to continue their learning while working in New York City. She is a role model to maybe thousands of women at this point through her work on college campuses, as a kallah teacher, someone who prepares brides for their upcoming wedding, Souled and other Jewish organizations.Here's some more formal info for those who aren't familiar with Nailni and her work:Nalini Ibragimov attended Barnard College and Moreshet Institute and studied Jewish history in Touro's master's program. She lived in Israel for four years where she taught in various institutions. For the following five years, she and her husband worked at Brooklyn College for JLIC, a joint program of the OU and Hillel, where she taught and ran various programs for Jewish students on campus. Nalini taught in Ateres Naava seminary in Brooklyn for 15 years until moving to Long Island a few years ago. Additionally, Nalini has taught hundreds of kallot and is a speaker for My Gift of Mikvah. She is also part of the educational staff of Core. Today, Nalini is the director of the ⁠Olami Women's House⁠, which provides a living space for young professional women who seek to live in a nurturing, Torah immersive environment. If you want to apply to live there, click ⁠here⁠!If you're a young professional woman, you can also hear Nalini speak Wednesday nights at Safra Synagogue on the Upper East Side at 7:30 p.m.Nalini resides in Woodmere, New York with her husband and takes great pride in her six children and the families they are building.Now, let's talk about our episode. In our conversation we speak about:-Nalini's Jewish journey and how she got to where she is today-How she manages and balances all of the work she does with being a wife and a mother of six children-How she decides what professional responsibilities to take on-What Shavuot really means and the perspective we can have going into it-How we can manage the heaviness all around us right now and channel that pain we're still feeling into the holiday and use it to create even more connection with Hashem-What a miracle actually looks like and how we can see more of them in our daily lives, right now-How we can use the time we have left before Shavuot to prepare for the holiday — and why the process and the preparation are key-How to connect on Shavuot when you're home with little kids and not going to learn all night-How the holiday of Shavuot is like a wedding and a beautiful lesson that we can all infuse into our marriages and our relationship to all of klal Yisrael…and SO MUCH MOREIf you have any questions for Nalini, you can reach out to her at Nalini419@gmail.com.If there's someone you want to see on The Chai on Life Podcast or a topic you want featured, send me an email at alex@chaionlifemag.com or a DM on Instagram at ⁠@chaionlifemag⁠.Thanks so much, see you next week!

I mars 2023 sitter en flicka i Australien framför sin webbkamera. I händerna har hon sin katt. Nu lyfter hon upp katten och stryper den framför kameran. I Umeå sitter en tonårskille och följer sändningen. Han kallar sig Chai. Under flera månaders tid har Chai terroriserat flickan, tvingat henne att begå övergrepp på sig själv och skickat polisen på hennes familj. Allt i sadistsektens 764:s namn. Flickan i Australien är inte ensam om att ha utsatts för Chai. När rättegången började mot Chai är han åtalad för 77 brott. I veckans avsnitt pratar vi om hur Chai misstänks ha fått barn att skada sig själva och attackera slumpmässiga personer på gatan. Vi pratar också om 764-rörelsens mål: att förstöra världen. ––––––– Reporter: Mariela Quintana Melin Medverkande: Gustaf Tronarp Tips & kontakt: marcus.ulvsand@aftonbladet.se mariela.quintana.melin@aftonbladet.se

Join FPL Chai as he reviews his GW37 team so far and reveals his early GW38 team selection. For more of Chai, you can subscribe to his YouTube Channel: @FPLChai

We will need each other to discover our gifts. We can't just pray in our room alone and expect God to send a delivery pigeon with our gift. Part of finding our gifts is serving the church body and learning along the way. Things like spiritual gifts tests are great, but those tests don't actually know you like other people can. Please do not wait to be certain about your gifting before you try serving the church. We all learn along the way as we are affirmed by fellow believers and pointed in the right direction by the Holy Spirit. I am just humbly asking that you prayerfully consider how the Spirit may be inviting you to serve your fellow Christians, whether at this church or in the various spaces you occupy outside the church. Either way, please don't remain a spectator - get in the game. Because all Christians need the church, and the church needs all Christians. We need you, and you need us. But it's important to remember - before we give Jesus our hands in service, He first wants our hearts in surrender. So I'm going to pray us out, and we're going to sing, “Lord, I give you my heart. I give you my soul. I live for you alone.” And I hope that as we sing this, we can make this our collective prayer as a church. As we surrender our hearts to God, I trust the Holy Spirit will open our hands in service to Him.

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

Turning 40 isn't the beginning of decline. It's the beginning of remembering who you really are.In this episode of The Brave Table, I sit down with Sarah Jane Ho, Netflix host of Mind Your Manners, entrepreneur, and educator in Traditional Chinese Medicine & Feng Shui, for a conversation that goes far beyond wellness trends.We talk about aging, identity, healing, tiger parenting, spiritual awakening, and the ancient Chinese practices that women have used for generations to protect their energy, hormones, and emotional well-being.From hot water rituals and emotional healing… to perimenopause, nervous system regulation, and why so many women feel disconnected from their bodies today, this episode is packed with wisdom that feels both ancient and deeply relevant.

Join FPL Chai as he reviews his GW36 team so far and reveals his early GW37 team selection. For more of Chai, you can subscribe to his YouTube Channel: @FPLChai

Your hosts return to Tel-Bastet, the city of cats, in Lynn Strong's Middle-Eastern-inspired cozy fantasy novel Chai and Charmcraft. They talk about romance focused character exploration, cat-based worlds, and cozy conflict.Find us on Discord / Support us on PatreonThanks to the following musicians for the use of their songs:- Amarià for the use of “Sérénade à Notre Dame de Paris”- Josh Woodward for the use of “Electric Sunrise”Licensed under Creative Commons: By Attribution 4.0 License

Today, I'm speaking with Rebbetzin Miriam Katz. Rebbetzin Katz is a mother of seven children, bli yin hara and lives in Jerusalem with her husband, Rabbi Doniel Katz who is a well known teacher on meditation and psychology through the lens of Kabbalah and Chassidus.She has a degree in elementary education, but explains she has learned the most about children by raising them. She has become a treasure trove of wisdom and has turned her teachings into a Substack newsletter called Mother 2 Mother where she shares insights from her two decades of motherhood. It's both practical and spiritual, relatable yet inspiring and it has been such a pleasure to be a part of her community and learn from her writings.We are approaching Mother's Day — at least in the States — and while it may be a holiday you gloss over, it's also a good opportunity to simply reflect on all you do as a mother. As we speak about in our interview, there's so much invisible work when you're a mother, keeping things running on a day-to-day basis — and it's important to make the invisible visible whether it's with your spouse, with your kids or without anyone else involved — just to yourself.In our conversation we speak about:-How Rebbetzin Katz found and connected to Orthodox Judaism-The crazy story of how she met her husband-How to figure out what we really need when it comes to our unique mothering journeys-How we can place more value on our role as a mother, if it's not something that comes easily to you-What a deep connection to Hashem can look like through mothering-How to feel better about the mental load motherhood comes with and ways to reframe it-Something you can do at home to cultivate more gratitude…and so much more!To reach out to Miriam, you can email her at Miriamkatz613@gmail.com.Please leave a rating and review, share the episode with a friend, family member or coworker who you think might enjoy it as well. If there is someone you want to see on The Chai on Life Podcast, email me at alex@chaionlifemag.com or send me a DM @chaionlifemag. Thanks again, see you next week!

In this episode of It's a Wrap with Rap, Lorie Kleiner Eckert—writer, storyteller, quilter, and author of Chai on Life—shares warm, candid stories about family, faith, and personal reinvention. She discusses turning quilts into books, finding meaning in everyday moments, and the Jewish idea of "chai" as a life-affirming theme. Lorie offers practical advice on writing, staying resilient through life changes, and taking one small step each day toward a new life. The conversation is full of humility, humor, and heartfelt takeaways meant to inspire readers of all ages. Sponsors:     Barbara Grassey, author of "American Expat-Moving                       Abroad Solo After 60                      Jay Setchell, author of "The Strength Within You It's Always                       Too Soon to Quit"                      Blue Sky CBD-Click link to order and receive 20% off                       first order                   https://www.bluesky-cbd.com/pages/_go_?ref=3251:615856&discount=ron                       Links:   loriekleinereckert.com                                 Etsy: lorie kleiner eckert                                 https://itsawrapwithrap.com    

Join FPL Chai as he reviews his GW35 team so far and reveals his early GW36 team selection. It's a double Gameweek and Chai already has triple City, will he be transferring in Palace players? For more of Chai, you can subscribe to his YouTube Channel: @FPLChai

Former soldier Amarjit Singh Thind's chai bar in Sydney is becoming more than a business, offering a space where people connect over spiced tea and shared stories. This podcast explores how Ambi's Chai is building community while bringing a taste of South Asian culture to Australia.

Gol Bezan returns with the latest information on Team Melli's preparation for FIFA World Cup 2026, Asian Champions League, and Persian Gulf Pro League with an exclusive interview with Leyla Shams of Learn Persian with Chai and Conversation (https://www.chaiandconversation.com/). Chai and Conversation YouTube channel: https://www.youtube.com/c/LearnPersianwithChaiandConversation Host Samson Tamijani ramps up interviews with unifying voices in North American Iranian communities as we prep for #TeamMelli in the North American World Cup. Our hearts and prayers are with all Iranians traversing this difficult time, as we have faith that the Iranian people will always survive and thrive. Our graphics specialist, Mahdi, is unable to produce our usual great artwork as the Internet outage in the country continues. Chapters: 00:08 Welcome 01:58 Team Melli latest 02:35 Tickets for Iran residents 03:46 Players out for WC 04:34 World Cup prep schedule 08:00 March friendlies recap 08:25 World Cup roster draft 11:10 Interview with Leyla Shams 25:17 PGPL, ACL update with Erfan Hoseiny Follow us on social media @GolBezan, leave a like/review & subscribe on the platform you listen on - YouTube, Spotify, Apple Podcasts, Google Podcasts, SoundCloud, Amazon, Castbox. Outro Music: K!DMO / kidmo.foreal Sina - / iranfooty Arya - / arya_allahverdi Aryan - / aryan.ghasemi Samson - / gbpsamson Mahdi - / mativsh / @ball4allmedia Kian - / kianb575 Imann - / amuimann / golbezan / golbezanfarsi / golbezan / golbezanpodcast / golbezan

In this episode, we sit with Akhil Patel, founder of Amala Chai, a London-based chai brand built on his grandmother's recipe and a mission to bring authentic masala chai to the UK. We talk about how what started with a trip to the Himalayas has since grown into a brand serving chai across six stalls in London, serving two Prime Ministers, working directly with farmers across India, and this October embarking on a 7,000 km autorickshaw journey across India to film a documentary about the stories behind chai across the country.Chapters(00:00) Introduction(04:37) Akhil's key learnings as a founder(06:00) Setting boundaries around competition (09:20) Sponsor Shoutout: Biskut Bar(11:20) Trying the Amala chai(12:36) His grandmother's recipe(14:20) The inception of the brand(19:45) Regenerative farming practices(25:00) Serving chai to Keir Stahmer and Narendra Modi(34:59) Emotional regulation as a small business owner(37:00) The cultural context of chai(42:11) Prepping for ‘A Journey Through Chai', the documentarySupport their Kickstarter campaign for 'A Journey Through Chai' on:https://www.kickstarter.com/projects/akhilpatel14/journey-through-chai-documentaryFind Amala Chai on: Website: https://www.amalachai.com/Instagram: https://www.instagram.com/amala_chai/To be the first to get updates on new episodes, please do give us a subscribe or follow!

Today, I'm speaking with Esther Wein, Torah educator extraordinaire.For more than 35 years, Esther has guided students of all backgrounds in Torah learning. Along the way, she became increasingly aware that even well-educated learners were often working with over-simplified explanations or incorrect ideas about the core ideas of Judaism and the unfolding story of Am Yisrael.  Critical tools for navigating today's complex world were therefore missing.Because of this, she created an entirely new program called Torah Unlocked, and its upcoming flagship course, Reishis, where students will take a fresh look at the story the Torah is telling. Esther's approach allows the many Torah ideas we have all learned to fall into place within their true context, and many longstanding questions begin to resolve on their own. The result is renewed pride, enthusiasm, clarity  and devotion to the role one can play right now in Am Yisrael's story.  While Reishis is not out yet, it is launching in the next couple of months, so if you visit estherwein.com, you can sign up for updates and get notified once it's officially out.In this episode, we speak a lot more about:-The course Esther created-Some of the core conflicts of the Torah and how they relate to what we're going through both as a people and individually today.-The religious world — both as a way to focus more on its positive attributes and recognize what we can all work on to create growth and improvement. -What we can take from the Pesach story as she reframes the it in a way that will change how you view the entire Jewish people and our place in this world. -The omer period — what is really going on at this time that we are in and how practically, we can maximize its potential. -The one thing that brings more bracha to Am Yisrael than anything else....and SO much more.If there is someone you want to see on The Chai on Life Podcast, email me at alex@chaionlifemag.com or send me a DM @chaionlifemag. Thanks again, see you next week!

Một chuỗi quán trà đặc sản do một cựu chiến binh thành lập, đang mở rộng nhanh chóng. Ambi's Chai phục vụ trà pha trộn với các loại gia vị lạ và người sáng lập tự hào rằng, các quán cà phê của ông đang giúp gắn kết cộng đồng.

Join FPL Chai as he reviews his GW34 Free Hit so far and reveals his early GW35 team selection. For more of Chai, you can subscribe to his YouTube Channel: @FPLChai

A chain of specialty tea bars founded by a military veteran is expanding rapidly. Ambi's Chai serves tea blended with exotic spices - and its founder is proud his cafes are bringing communities closer.

The rise of the real me vs the pretend me A Sefiras HaOmer talk delivered on Day 18 — Chai, the day of Netzach ShebeTiferes (eternal victory within beauty). The speaker opens with the central question: what does Yetzias Mitzrayim have to do with us today? The answer: everyone has a Mitzrayim — a personal meitzar, a place of narrowness and pressure. Just as Hashem pulled us out of Egypt at the very last millisecond before we hit the fiftieth gate of impurity, He can pull any one of us out of our darkest place. That rock-bottom national moment was actually the founding of Klal Yisrael — and it gives every Jew the power to climb out of their own depths. The forty-nine days of Sefirah are the work that follows that rescue. The Korban Omer was brought from barley — animal food — because the avodah of this period is purifying our animalistic nature, one middah at a time. We tend to lead with our strengths and hide our vulnerabilities. Sefirah flips that: the real, eternal self — the self that will rise at techiyat hametim, as Rav Nachman teaches — is forged precisely in the places where we met our weaknesses and didn't give up. The talk closes with a personal story about saying ayey mekom kevodo — "where are You, Hashem?" — in a moment of total vulnerability, and experiencing an inexplicable, complete release. The takeaway: the victories that define us aren't the exciting moments the world chases. They're the quiet, hard-won moments of genuine growth — and those are the only ones that truly last.

Host Ron Rapaport discusses with certified domestic violence expert, advocate, high-conflict divorce coach, and author of the critically acclaimed book "Been There, Got Out" Lisa Johnson, about helping survivors to seek clarity, strength and a way forward. Lisa, who is not a lawyer, represented  herself  through scores of court appearances and her case was published in the Connecticut Law Journal in 2021 and her live testimony contributed to the passage of "Jennifer's Law", one of the first U.S. laws to expand the legal definition of domestic violence to include "coercive control" which is financial or emotional abuse. Sponsors:   Lorie Kleiner Eckert, author of "Chai on Life"                    Jay Setchell, author of "The Strength Within You; It's Always                     Too Soon to Quit"                    Blue Sky CBD-use link to order for a 20% discount on first                      order                 https://www.bluesky-cbd.com/pages/_go_?ref=3251:615856&discount=ron   Links:     https://beentheregotout.com              https://itsawrapwithrap.com  

Join FPL Chai as he presents his team selection for GW34 and provides transfer advice to help you navigate the Blank Gameweek!

Join FPL Chai as he presents his team selection for GW33 and provides transfer advice to help you navigate the double gameweek!

TISS is a weekly podcast where Varun, Kautuk, Neville & Aadar discuss crazy "facts" they find on the internet. Come learn with them... or something like that.Aadar at the Musical Comedy Awards live London. 7:30pm, 10th April. https://wegottickets.com/ft/NnCRCYFjFYBuy tickets for the live stream if you're not in London: https://wegottickets.com/musicalcomedyawards/f/17998This week, the boys are talking about 'Artemis Mission & Strangest Restaurants In The World'To support TISS, check out our Instamojo: www.instamojo.com/@TISSOPFollow #TISS Shorts where we put out videos: https://bit.ly/3tUdLTCYou can also check out the podcast on Apple podcast, Spotify and Google podcast!https://shorturl.at/hfQZXhttp://apple.co/3neTO62http://spoti.fi/3blYG79http://bit.ly/3oh0BxkCheck out the TISS Sub-Reddit: https://bit.ly/2IEi0QsCheck out the TISS Discord: / discord  Buy Varun Thakur's 420 Merch - http://bit.ly/2oDkhRVSubscribe To Our YT Channels:Varun - https://bit.ly/2HgGwqcAadar - https://bit.ly/37m49J2Kautuk - https://bit.ly/3jcpKGaNeville - https://bit.ly/2HfYlWyFollow Us on Instagram:Varun -   / varunthakur  Aadar -   / theaadarguy  Kautak -  / cowtuk  Neville -  / nevilleshahChapters:00:00 - Right way to wear earpods02:43 - Ages of earphones04:57 - What do you think is the right way to wear earphones05:38 - Intro Animation05:47 - are we bored of each other?07:00 - Bollywood Postmortem Tour08:51 - Aadar's Musical Comedy FInals in London09:34 - The Artemus II Mission14:02 - Astronaut Spying on wife in space14:57 - The Artemus II stream17:42 - Fake moon landing19:53 - Evolution of Moon with Neil Armstrong's Feces21:10 - Moon is no more the muse21:45 - Playing Will Kautuk Eat This?22:23 - Gulab Jamun Pickle24:15 - Pani puri cappucino25:49 - Vodka Panipuri26:19 - Fire Paan26:53 - Vodka Paratha28:54 - Poor Man's Tiramisu (Bailey's and Parle G)29:48 - Hiding Cabbage with Vodka30:07 - Animals Infused in Alcohol33:18 - Tirami-shoes34:12 - Chappal ka Bharta35:43 - Chicken Tangdi Samosa36:33 - Pait ke Bhature41:28 - Guessing craziest restaurant names46:02 - Weird Restaurant Names52:12 - Weird Menu Items55:58 - No FLirting Rules in restaurant56:52 - Robot Server in Pakistan57:42 - Menu Spelling Errors59:38 - Robots serving in restaurants1:00:56 - Menu Spelling Errors 2.01:02:34 - Spelling Errors gone wrong1:04:48 - Rollercoaster Restaurant1:05:35 - Toilet and restaurants1:06:42 - Weird restaurant names1:09:39 - Chicken Sanju baba1:11:12 - Deepika Padukone Lose Chicken1:11:46 - Argentinian Bhai Restaurant1:11:37 - Garam Masala Movie Popular in Japan1:14:25 - Aamir Khan popular in China1:15:35 - Shoab-tini1:16:14 - Deepika Padukone Dosa1:16:40 - Cooking food on a volcano1:19:25 - Ziplining waiter1:20:23 - VR restaurant1:21:04 - Game of Thrones restaurant in Lucknow1:23:16 - Chai-fiene Cafe1:23:58 - HIjack and Jail Themed restaurant1:29:32 - Let us know your weird restaurant names1:30:14 - Outro1:30:41 - Free gymEdit & Thumbnail - MetaFX Studio

Join FPL Chai as he presents his team selection for GW32! For more of Chai, you can subscribe to his YouTube Channel: @FPLChai

在那還沒有交友軟體的年代，Dolphin & David 在電郵聊天一個月後才在台中見面。兩個人怎麼溝通、學習語言、跟雙方家人相處？外國人在台灣的身份怎麼個回事？結婚11年的過程遇到什麼笑話與衝突呢？ 有興趣聽英文單集可以到 Chai with Ping 聽 Ep115 When Canadian Meets A Taiwanese ft. Dolphin & David 還有 Ep116。 聯絡 Dolphin joliedolphin@gmail.com 如果你喜歡這個單集，我推薦這些相關單集給你。 ➡️ Ep115 台灣女孩遇上北印男孩英國篇 ft. 歐歐 ➡️ Ep103 異國戀的辛酸／戰敗國的悲情／勇闖布達佩斯 ft. Engama ➡️ Ep96 蒙古媳婦不住蒙古包 ft. Rau (1) ➡️ Ep113 有曼谷的舒適圈就回不去啦 ft. 偏職泰泰 ➡️ Ep84 解密印度廚房／喝奶茶喝到糖尿病 ft. 印度安娜 Agnes & Jess

Here's what you'll find in this week's mini episode, a.k.a. Chai Chat! I answer: 1. My in-laws and parents never respect the conversations I've had about less gifts…now what? 2. In what areas do YOU struggle with clutter? You've said your husband often cooks, does he also clean the kitchen when done? Listener recommendation of the week: ⁠⁠⁠ • ⁠Ardant earrings • ⁠Tubby Todd products MENTIONED THIS EPISODE The Anxious Generation book Ep 50: The Guilt & Fear of Decluttering Gifts PARING DOWN (SHANNON LEYKO): Website: ⁠⁠⁠⁠⁠⁠⁠www.shannonleyko.com⁠⁠⁠⁠⁠⁠⁠ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@shannonleyko⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@shannon_leyko⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Youtube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@shannonleyko⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.facebook.com/shannonleyko.paringdown⁠⁠⁠⁠⁠⁠⁠⁠⁠ Weekly Newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The L.E.S.S. Express⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Substack: ⁠⁠⁠⁠⁠⁠Blog & Additional Support (free trial!)⁠⁠⁠⁠⁠⁠ PARING DOWN RESOURCES: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free Decluttering Checklist⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free 20 Decluttering Roadblocks (with specific advice for each)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠10 Life-Changing Decluttering Hacks (free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Treasures of the Heart: A 7-Day Bible Study on Breaking Free from Material Attachments (free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free 15 Clutter-Free Gift Ideas⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free Gift Request Email Template⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free Know Your Why Worksheet ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Complete Guide to Decluttering Kid Stuff⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ SPONSORS: $300 off Air Doctor Pro air purifier:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://airdoctorpro.com/ -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Use code PARING 10 Free Meals from Hello Fresh + Free Nutribullet® Ultra Plus+ 2-in-1 Compact Kitchen System (a $189.99 value) on your 3rd box:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.hellofresh.com/paring10fm⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Only $2.99 per meal from Every Plate + 10% off for a month: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.everyplate.com/podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - CODE: paring299 Ethical, luxury women's clothing at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Quince.com/paring⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for 365-day returns, plus free shipping on your order! Find furniture, decor, and essentials that fit your unique style and budget. ⁠⁠⁠⁠⁠⁠https://www.wayfair.com/⁠⁠⁠⁠⁠⁠ High-quality, eco-friendly activewear at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fabletics.com/PARING⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & use code PARING at checkout- sign up as a VIP and get 80% off everything. 20% off at Cozy Earth: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.cozyearth.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - code PARING 50% off MeUndies at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.meundies.com/paring⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - code PARING Use code PARING at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠jonesroadbeauty.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to get a Free Cool Gloss with your first purchase! 20% OFF any AquaTru water purifier when you go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AquaTru.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and use promo code PARING Learn more about your ad choices. Visit megaphone.fm/adchoices

Join David on a visit to The Chai Box in Marietta, Georgia, where authentic chai is brewed with purpose and care. What began as a family ritual has grown into a nationally recognized business rooted in sustainability, cultural education, and bringing people together one cup at a time. 

Join FPL Chai as he reflects on GW31 and discusses his transfer plans ahead of GW32. Will he be activating any chips?

My guest today is an expert in personal reinvention. Lorie Kleiner Eckert is a dynamic author, fiber artist, and motivational speaker who has inspired over 22,000 people. In her latest book, CHAI ON LIFE, she shares heartfelt and humorous essays on navigating life's biggest transitions, from an empty nest to personal loss. Described as the 'magical love child of Nora Ephron,' Lorie is here to share her practical, vulnerable, and uplifting wisdom on finding resilience, embracing authenticity, and transforming your life at any age. Check out the website and buy the book: https://www.loriekleinereckert.com/  

Amy and Emily share “Dish” before recapping Ladies of London, starting with Margaret Josephs saying she's done with Real Housewives of New Jersey after talking to Andy and linking it to news of an Amazon girls-trip style reality show featuring Kenya Moore, Margaret Josephs, and Kim Zolciak. They also discuss reports that Hannah Berner and Paige DeSorbo are developing a Netflix comedy series with Amy Poehler and Kay Cannon, rumors of a Secret Lives of Mormon Wives spinoff in Orange County, and a judge rejecting Jordan's attempt to file a restraining order against Jesse as not an emergency. They note Lisa Vanderpump's hotel opening and TomTom being for sale. In the Ladies of London recap, they react to Mark's opulent home and auction-world ties, Emma opening up about a health condition, Kimmi's confrontations at a wine tasting, Missi and Margot's dynamics, Lottie and Josh's push-present negotiations and British stories.For more Drama, Darling, and exclusive content, subscribe to: http://Patreon.com/dramadarling (http://patreon.com/dramadarling) Follow Drama, Darling on Instagram: https://www.instagram.com/dramadarlingshow/   Email Drama, Darling with YOUR comments, questions and drama:  DramaDarlingz@gmail.com Follow Amy Phillips on Instagram: https://www.instagram.com/dramadarlingshow/   MERCH Drama Darling Shop https://drama-darling-shop.printify.me/

Here's what you'll find in this week's mini episode, a.k.a. Chai Chat! I answer: 1. When do you reach decluttered “enough”? 2. How did you get started with writing? What's your favorite childhood movie? Listener recommendation of the week: ⁠ • Thrive's Market maple syrup (I found out you need a membership, just FYI!) • Ember heated mug PARING DOWN (SHANNON LEYKO): Website: ⁠⁠⁠⁠⁠www.shannonleyko.com⁠⁠⁠⁠⁠ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@shannonleyko⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@shannon_leyko⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Youtube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@shannonleyko⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.facebook.com/shannonleyko.paringdown⁠⁠⁠⁠⁠⁠⁠ Weekly Newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The L.E.S.S. Express⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Substack: ⁠⁠⁠⁠Blog & Additional Support (free trial!)⁠⁠⁠⁠ MENTIONED IN THIS EPISODE: ⁠shannonsnyc.blogspot.com⁠ Substack blog My book: You're Completely Normal Ep 22: Decluttering Photos on Our Phones & In Our Homes Ep 123: How Minimalism Can Change Your Life with Joshua Becker PARING DOWN RESOURCES: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free Decluttering Checklist⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free 20 Decluttering Roadblocks (with specific advice for each)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠10 Life-Changing Decluttering Hacks (free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Treasures of the Heart: A 7-Day Bible Study on Breaking Free from Material Attachments (free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free 15 Clutter-Free Gift Ideas⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free Gift Request Email Template⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free Know Your Why Worksheet ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Complete Guide to Decluttering Kid Stuff⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ SPONSORS: 50% off MeUndies at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.meundies.com/paring⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - code PARING 10 Free Meals from Hello Fresh:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.hellofresh.com/paring10fm⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Only $2.99 per meal from Every Plate: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.everyplate.com/podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - CODE: paring299 High-quality, eco-friendly activewear at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fabletics.com/PARING⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & use code PARING at checkout- sign up as a VIP and get 80% off everything. Ethical, luxury women's clothing at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Quince.com/paring⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for 365-day returns, plus free shipping on your order! Find furniture, decor, and essentials that fit your unique style and budget. ⁠⁠⁠⁠https://www.wayfair.com/⁠⁠⁠⁠ $300 off Air Doctor Pro air purifier:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://airdoctorpro.com/ -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Use code PARING Storyworth Memoirs to capture your loved one's life— get $10+ off: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.storyworth.com/paring⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 20% off at Cozy Earth: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.cozyearth.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - code PARING Use code PARING at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠jonesroadbeauty.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to get a Free Cool Gloss with your first purchase! 20% OFF any AquaTru water purifier when you go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AquaTru.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and use promo code PARING Learn more about your ad choices. Visit megaphone.fm/adchoices

Hi everyone, welcome back to another episode of The Chai on Life Podcast. I'm Alex Segal, and today I'm speaking with Batya Kahan, founder of Batya's Kitchen. Batya's Kitchen is a full scale catering business that delivers home-cooked kosher food to Jews all over the country. Started in 2007, Batya has become well known for her delicious Pesach cuisine and so many order from her whether they're traveling for the holiday and need food or just want some help at home. She has become a true expert on Pesach cooking, freezing food before Pesach and how to defrost and reheat it to retain its flavor, the halachos in the kitchen and more.This year, Batya has created a stunning cookbook called Pesach Secrets that everyone is talking about. I had to get it and am so excited to dive in as I'm cooking for Pesach this year. In the book, she not only has tons of mouth-watering recipes, but she also goes through all the elements of the seder plate with information on how to put it together and tips to keep everything fresh.There is information on checking vegetables, hechsherim to pay close attention to so you don't accidentally buy kitniyot for example, advice on how to prep for Pesach so  you don't get so completely overwhelmed and so much more. It is so comprehensive and you can really utilize the recipes all year round.In our conversation, Batya speaks about:-How she got into this work and built Batya's Kitchen into what it is today-What her own memories of Pesach look like and and how that plays into her work and family life-How to have a positive mindset about Pesach and a calming approach if you're feeling overwhelmed-How to approach a big book of recipes also without getting overwhelmed and feeling like you need to make everything-Her approach to planning a menu-Her number one tip to staying focused and being most efficient in the kitchen-How to get kids involved…and so much more!If there is someone you want to see on The Chai on Life Podcast, email me at alex@chaionlifemag.com or send me a DM @chaionlifemag.Chag sameach everyone!

The Coffee Sprudgecast is back, it's springtime, the world is buzzing about World of Coffee San Diego, and we're buzzing about The Sprudge Twenty Presented by Pacific Barista Series. Nominations are now open for the eighth annual Sprudge Twenty class, honoring inspiring coffee professionals worldwide.

In this Chai Chat, I answer these listener questions: • Is it okay to keep something that you rarely use but can't easily borrow? - Sarah • How do you maintain friendship as an adult and mom? - Sarah (different Sarah!) Plus I give some final thoughts about the value of reading fiction! PARING DOWN (SHANNON LEYKO): Website: ⁠⁠www.shannonleyko.com⁠⁠ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠@shannonleyko⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠@shannon_leyko⁠⁠⁠⁠⁠⁠⁠⁠ Youtube: ⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@shannonleyko⁠⁠⁠⁠⁠⁠⁠⁠ Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠www.facebook.com/shannonleyko.paringdown⁠⁠⁠⁠ Weekly Newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The L.E.S.S. Express⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Substack: ⁠Blog & Additional Support (free trial!)⁠ MENTIONED THIS EPISODE ⁠Ep 81: The Art of Making Friends & How it Helps Us Declutter ⁠ ⁠The Correspondant⁠ ⁠Remarkably Bright Creatures PARING DOWN RESOURCES: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free Decluttering Checklist⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠20 Decluttering Roadblocks (with specific advice for each)⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠10 Life-Changing Decluttering Hacks (free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Treasures of the Heart: A 7-Day Bible Study on Breaking Free from Material Attachments (free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free 15 Clutter-Free Gift Ideas⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free Gift Request Email Template⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free Know Your Why Worksheet ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Complete Guide to Decluttering Kid Stuff⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ SPONSORS: 50% off MeUndies at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.meundies.com/paring⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - code PARING 10 Free Meals from Hello Fresh:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.hellofresh.com/paring10fm⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Only $2.99 per meal from Every Plate: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.everyplate.com/podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - CODE: paring299 High-quality, eco-friendly activewear at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fabletics.com/PARING⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & use code PARING at checkout- sign up as a VIP and get 80% off everything. Ethical, luxury women's clothing at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Quince.com/paring⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for 365-day returns, plus free shipping on your order! Find furniture, decor, and essentials that fit your unique style and budget. ⁠https://www.wayfair.com/⁠ $300 off Air Doctor Pro air purifier:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://airdoctorpro.com/ -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Use code PARING Storyworth Memoirs to capture your loved one's life— get $10+ off: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.storyworth.com/paring⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 20% off at Cozy Earth: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.cozyearth.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - code PARING Use code PARING at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠jonesroadbeauty.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to get a Free Cool Gloss with your first purchase! 20% OFF any AquaTru water purifier when you go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AquaTru.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and use promo code PARING Learn more about your ad choices. Visit megaphone.fm/adchoices

Join FPL Chai as he reflects on GW30 so far and discusses his transfer plans ahead of GW31. How will he be navigating the blank fixtures?