Building With AI

Zachary Lipton is the Co-founder and CTO of Abridge, an AI healthcare company that recently raised $300M at a $5.3B valuation to transform clinical documentation with ambient AI. We discuss his journey from jazz musician to ML researcher to startup co-founder, and how personal experience led him to reinvent the doctor–patient encounter. We also discuss: - Deploying AI in live hospital settings,- How ambient AI is reshaping clinical documentation at scale, - What it takes to deeply integrate with systems like Epic, - The LLM moment and how ChatGPT changed the game for healthcare, - Navigating safety, privacy, and compliance in high-stakes environments, - And much more!—Brought to you by Autoblocks (https://www.autoblocks.ai/) — helping teams build safe, reliable, and compliant LLM-based products.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Haroon Choudery explores how AI is reshaping industries in real-time. This season, we're diving deep into one of the most impactful and high-stakes applications of AI: healthcare.—Subscribe to Building With AI:LinkedIn: https://www.linkedin.com/company/X: https://x.com/buildingwith_aiWhere to find Zachary Lipton:LinkedIn: https://www.linkedin.com/in/zacharylipton/X: https://x.com/zacharyliptonLearn more about Abridge:Website: https://www.abridge.comLinkedIn: https://www.linkedin.com/company/abridgehq/X: https://x.com/AbridgeHQWhere to find Haroon Choudery:LinkedIn: https://www.linkedin.com/in/haroonchoudery/X: https://x.com/haroonchouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/LinkedIn: https://www.linkedin.com/company/autoblocks/posts/X: https://x.com/AutoblocksAI—[00:00] – Up Next [00:45] – Episode Introduction [02:25] – Autoblocks: AI Optimization Platform [03:50] – A Personal Health Crisis Sparks a Startup [13:08] – The LLM Moment [22:00] – Reimagining Doctor-Patient Encounters with AI [27:50] – Embedding AI in Complex Clinical Workflows: The Abridge Playbook [32:05] – “This Saved My Marriage”: What Clinicians Really Think [36:16] – Making AI Smarter with Context [44:40] – Can AI Fix Healthcare’s Broken Billing System? [51:05] – Scaling AI in Regulated, High-Stakes Environments [52:30] – Why This Work Matters: Leadership, Mission, and Impact

Roman Bugaev is the CTO at Flo, one of the world’s largest health and fitness apps, with over 75 million monthly active users. Flo is revolutionizing women’s health by leveraging AI to personalize insights, improve engagement, and ensure medical safety at scale.In this conversation, we dive deep into how AI is transforming digital health, from predictive cycle tracking to AI-powered chatbots that support users in their health journeys.In this episode, we discuss:How Flo’s AI-powered cycle prediction model improves accuracy and user engagement,Role of generative AI in scaling high-quality medical content,Challenges of AI in healthcare,Why privacy-first AI and post-quantum encryption are critical in digital health,And much more!—Brought to you by Autoblocks (https://www.autoblocks.ai/) — helping teams build safe, reliable, and compliant LLM-based products.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Haroon Choudery explores how AI is reshaping industries in real-time. This season, we're diving deep into one of the most impactful and high-stakes applications of AI: healthcare.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Roman Bugaev:Linkedln: https://www.linkedin.com/in/rbugaev/X: https://x.com/rbugaevLearn more about Flo Health:Website: https://flo.healthLinkedIn: https://www.linkedin.com/company/flohealth/X: https://x.com/flotrackerWhere to find Haroon Choudery:Linkedln: https://www.linkedin.com/in/haroonchoudery/X: https://x.com/haroonchouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://twitter.com/AutoblocksAI—[00:00] – Up Next[00:16] – Episode Introduction[01:49] – Autoblocks: AI Optimization Platform[03:15] – Roman’s Introduction[04:43] – Flo’s Evolution and Success[10:24] – Traditional ML vs. Generative AI in Healthcare[18:34] – The Role of Human-in-the-Loop AI[24:29] – Ensuring AI Safety & Accuracy at Flo[32:08] – Bias in LLMs[35:38] – LLMs’ Hype vs. LLMs’ ROI[38:18] – Challenges and Future of AI at Flo

Dr. Graham Walker is an Emergency Physician and the Founder of MDCalc, a clinical decision support tool used by over 70% of U.S. physicians. He also co-founded Offcall, a platform addressing physician burnout through transparency and data-driven insights.We dive deep into the real-world use cases of AI in hospitals—from predictive models that detect patient deterioration to generative AI scribes that free doctors from paperwork.In this conversation, we discuss:How MDCalc became a must-have tool for 70% of U.S. doctors,Impact of AI scribes on physician burnout and patient care,Risks of overreliance on AI,Barriers to AI adoption in hospitals (privacy, cost, and trust),The AI-powered emergency room of the future,And much more!—Brought to you by Autoblocks (https://www.autoblocks.ai/) — helping teams build safe, reliable, and compliant LLM-based products.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Haroon Choudery explores how AI is reshaping industries in real-time. This season, we're diving deep into one of the most impactful and high-stakes applications of AI: healthcare.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Dr. Graham Walker:Website: https://drgrahamwalker.comLinkedln: https://www.linkedin.com/in/graham-walker-md/Learn more about MDCalc:Website: https://www.mdcalc.com/cme/adsLinkedIn: https://www.linkedin.com/company/mdcalc/X: https://x.com/mdcalcLearn more about Offcall:Website: https://www.offcall.comLinkedIn: https://www.linkedin.com/company/joinoffcall/X: https://x.com/offcalldotcomWhere to find Haroon Choudery:Linkedln: https://www.linkedin.com/in/haroonchoudery/X: https://x.com/haroonchouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://twitter.com/AutoblocksAI—[00:00] Up next: [00:32] Episode Introduction [01:32] Autoblocks: AI Optimization Platform [03:36] Dr. Graham’s journey [06:34] The Birth of MDCalc [12:26] AI in Clinical Settings [19:18]  Challenges and Future of AI in Healthcare [29:18] Ethical AI in Patient Care [34:56] AI's Impact on Physician Burnout [41:12] Envisioning AI in Emergency Medicine [44:33] Advice for Clinicians and Tech Innovators

Imaad Rashid, Director of AI Product Commercialization at Qventus, has spent seven years driving AI-powered healthcare automation. He was key in building Qventus’ inpatient command center and later led delivery and operations teams.Before Qventus, he worked on outpatient care optimization at Clockwise MD (acquired by Warburg Pincus) and founded Blue Check Health, a startup focused on reducing hospital-acquired infections and improving radiation therapy safety (also acquired).In this conversation, Imaad shares:The evolution of Qventus and its AI-driven automation,How LLMs and AI assistants reduce clinician burnout,The importance of Human-in-the-Loop (HITL) AI,Qventus’s approach to AI safety and testing,The future of AI in healthcare,And much more!—Brought to you by Autoblocks (https://www.autoblocks.ai/) — helping teams build safe, reliable, and compliant LLM-based products.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Haroon Choudery explores how AI is reshaping industries in real-time. This season, we're diving deep into one of the most impactful and high-stakes applications of AI: healthcare.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Imaad Rashied:Linkedln: https://www.linkedin.com/in/imaad-rashied/X: https://x.com/imaadrashiedLearn more about Qventus:Website: https://www.qventus.comLinkedIn: https://www.linkedin.com/company/qventus-inc/X: https://x.com/QventusWhere to find Haroon Choudery:Linkedln: https://www.linkedin.com/in/haroonchoudery/X: https://x.com/haroonchouderyWebsite: https://www.autoblocks.ai/X: https://twitter.com/AutoblocksAI--[00:00] Up Next:[00:31] Episode Introduction[01:49] Autoblocks: AI Optimization Platform[03:15] Imaad’s Introduction[04:33] Qventus’ Evolution[09:44] The Healthcare Worker Burnout Crisis[12:24] Traditional ML vs. Generative AI in Healthcare[18:05] Challenges and Solutions in AI Deployment[27:37] How Qventus Ensures AI Safety & Accuracy[30:45] The Role of Human-in-the-Loop AI[33:04] Change Management in AI Deployment[38:51] Navigating Regulatory & Compliance Challenges[41:30] The Road to Full-Scale AI Adoption in Healthcare

In this episode of Building With AI, host Haroon Choudery sits down with Brian Kalis, the Health Strategy Lead at Accenture. With over two decades of experience helping leading healthcare organizations navigate digital transformation, Brian brings valuable perspective from his work at one of the world's largest consulting firms.During the conversation, he discusses:The evolution of AI in healthcare over the past two decadesHow health organizations are approaching enterprise-wide AI adoptionPractical approaches to responsible AI governanceThe future of human-AI collaboration in healthcareAnd much more!—[00:00] Up next:[00:34] Episode Introduction[01:30] Autoblocks: AI Optimization Platform[02:17] Brian’s Background and Early Career[03:19] Evolution of AI and Healthcare[05:36] Generative AI: Changing the Game[08:06] AI Adoption: Challenges & Opportunities[19:02] Plan, Build, Run: Accenture’s Approach to AI Engagement[22:59] Governance and Responsible AI in Practice[28:22] Key Principles for Working with AI by Ethan Mollick[30:11] Current AI Familiarity and Adoption Rates[33:23] Future of AI in Healthcare Workflows[36:25] 5 Key Imperatives for Healthcare Organizations[41:53] Overcoming reluctance in AI adoption[46:05] Why Responsible AI Matters[47:43] Accenture’s Internal AI Training Initiatives—Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Haroon Choudery (Co-Founder and CEO of Autoblocks AI) uncovers tactical insights that help listeners build & scale world-class AI products.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Brian Kalis:Linkedln: https://www.linkedin.com/in/bkalis/X: https://x.com/bkalisLearn more about Accenture:Website: https://www.accenture.comLinkedIn: https://www.linkedin.com/company/accenture/X: https://x.com/accentureWhere to find Haroon Choudery:Linkedln: https://www.linkedin.com/in/haroonchouderyX: https://twitter.com/haroonchouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://twitter.com/AutoblocksAI

In this episode of Building With AI, host Hamza Choudery sits down with Scott White, a Product leader at Anthropic. Scott brings a wealth of experience from his time at companies like Dropbox, Wealthfront, Instacart, and Airtable. At Airtable, Scott first gained hands-on experience integrating LLMs into software.At Anthropic, Scott contributed to the development of Claude. During the conversation, he takes us behind the scenes, sharing the principles and frameworks used by one of the most innovative AI companies in the world.During the episode, he discusses:How the Product org is structured at Anthropic,His framework for de-risking AI products,Anthropic's AI development process,Bridging the gap between Research and Product,And much more!—[00:00] Up next:[00:52] Episode introduction[02:04] Autoblocks: AI Optimization Platform[02:30] Scott's journey[07:53] The product team at Anthropic[11:31] How AI changes product development[17:10] Anthropic’s AI product development process[22:55] The key to AI product innovation[26:48] Claude in 10 years[34:12] Bridging the gap between Research and Product[38:13] Trust and safety in AI[44:14] Scott's hottest AI take[45:57] Scott's advice for product builders in the LLM space—Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Hamza Choudery (Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Scott White:Linkedln: https://www.linkedin.com/in/scottiewhite/Learn more about Anthropic:Website: https://www.anthropic.comLinkedIn: https://www.linkedin.com/company/anthropicresearch/X: https://x.com/anthropicaiWhere to find Hamza Choudery:Linkedln: https://www.linkedin.com/in/hamzachouderyX: https://twitter.com/hamzachouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://twitter.com/AutoblocksAI

In this episode, host Hamza Choudery is joined by Sridhar Ramaswamy, the CEO of Snowflake. Before taking the helm at Snowflake, Sridhar scaled Google's ads business from ~$1B to $115 billion and founded one of the first AI search companies, Neeva (which was acquired by Snowflake in 2023).During the episode, he discusses:The first principles for AI product building,The importance of product velocity,The future of the foundation model layer,Creating data flywheels with AI,And much more!—[00:00] Up next:[00:29] Episode introduction[01:28] Autoblocks: AI Optimization Platform[01:52] Sridhar's journey[08:47] The birth of Neeva and the GPT moment[13:32] Lesson from Google for startups[16:19] The Snowflake acquisition[21:48] Snowflake's AI product strategy[26:35] Snowflake's internal and external AI applications[28:39] Snowflake Cortex[30:37] The future of the foundation model layer[34:52] The AI data flywheel[38:09] Building reliable LLMs[41:52] Lightning round[43:08] Sridhar's hottest AI take—Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Hamza Choudery (Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Sridhar Ramaswamy:Linkedln: https://www.linkedin.com/in/sridhar-ramaswamy/X: https://x.com/RamaswmySridharLearn more about Snowflake:Website: https://www.snowflake.com/en/LinkedIn: https://www.linkedin.com/company/snowflake-computing/X: https://x.com/snowflakedbWhere to find Hamza Choudery:Linkedln: https://www.linkedin.com/in/hamzachouderyX: https://twitter.com/hamzachouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://twitter.com/AutoblocksAI

In this episode of Building With AI, host Haroon Choudery sits with Tomasz Tunguz, Founder and General Partner at Theory Ventures. Tomasz brings a valuable 10,000-foot view of the AI space, drawing from his 16 years of experience as a VC and previous work building machine learning systems at Google.During the episode, Tomasz discusses:The modern data stack for LLMs,The significance of human evaluations,How to Identify high-value use cases for businesses,Midjourney's successful distribution strategy,And much more!—[00:00] Up next: [00:57] Episode introduction [01:59] Autoblocks: AI Optimization Platform [02:24] Tomasz's introduction [03:47] The two waves of AI [06:09] The modern data stack for LLMs [11:27] The golden set of evaluations [15:39] Why you need human evaluations [17:27] Don't write off LLMs [21:04] Identifying high-value AI use cases for your business [25:30] The top industries LLMs will disrupt [26:52] Advice for incumbents to win the AI race [33:05] Advice for AI startups to disrupt industries [34:31] The innovation equation [37:16] Midjourney's successful distribution strategy [39:15] Will AI move beyond non-determinism? [43:21] The future relationship between AI and professionals [48:05] How to keep up with AI developments—Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Haroon Choudery (Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Tomasz Tunguz:Linkedln: https://www.linkedin.com/in/tomasztunguz/X: https://x.com/ttunguzLearn more about Theory Ventures:Website: https://theory.venturesLinkedIn: https://www.linkedin.com/company/theory-ventures/X: https://x.com/theoryvcWhere to find Haroon Choudery:Linkedln: https://www.linkedin.com/in/haroonchoudery/X: https://x.com/haroonchouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://twitter.com/AutoblocksAI

In this episode of Building With AI, host Hamza Choudery sits with Jayodita Sanghvi, Senior Director of Data Science at Included Health. Jayodita completed a PhD in Bioengineering at Stanford before jumping in industry with the goal of raising the standard of healthcare for everyone.In her current role leading data science at Included Health, her team uses AI to help simplify healthcare for users by providing services like clinical care and specialist recommendations.During the episode, Jayodita discusses:How LLMs are going to improve healthcare delivery,Why Included Health relies primarily on prompt engineering,How to get the most out of early adopters by using them for feedback loops,Regulation and bias considerations for AI in healthcare,And much more!—[00:00] Up next:[00:57] Episode introduction[02:04] Autoblocks: AI Optimization Platform[02:29] Jayodita’s introduction[05:25] A look into Included Health[08:53] Jayodita on LLMs in healthcare[15:36] The GenAI dream team[17:17] API vs. OpenAI: What does Included Health use?[18:16] Why Included Health relies primarily on prompt engineering[20:40] How to get the most out of early adopters[22:52] Regulation and bias in AI for healthcare[26:55] Startups and incumbents: Will both win?[30:04] The future of ML & LLMs in healthcare[33:43] Jayodita's hottest AI take—Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Hamza Choudery (Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Jayodita Sanghvi:Linkedln: https://www.linkedin.com/in/jayodita-sanghvi-34b1057/Learn more about Included Health:Website: https://includedhealth.com/resources/LinkedIn: https://www.linkedin.com/company/includedhealth/X: https://x.com/IncludedHealthWhere to find Hamza Choudery:Linkedln: https://www.linkedin.com/in/hamzachouderyX: https://twitter.com/hamzachouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://x.com/AutoblocksAI

In this episode of Building With AI, host Haroon Choudery sits down with Rahul Sonwalkar, the founder and CEO of Julius.ai, an AI data analyst that helps users analyze datasets, create visualizations, and gain insights from structured data. They discuss Rahul's entrepreneurial journey, including his time at big tech companies like Facebook and Uber, the infamous "Ligma Johnson" prank, and the launch of his own venture.During the conversation, they discuss:The inspiration for creating Julius before the "ChatGPT moment,"Julius's rapid growth to 500,000+ users,How to think about competition in the AI space,The importance of testing and user feedback,And much more!—[00:00] Up next[00:54] Episode Introduction[02:00] Autoblocks: AI Optimization Platform[02:39] Rahul's Background & Introduction to Julius.ai[04:29] Product Iterations before the "ChatGPT moment”[05:58] Importance of User Testing & Feedback[14:28] User Feedback Loop at Julius.ai[17:58] How to think about competition in the AI space[24:34] Specialization vs Super Apps[28:42] Comparing Code Interpreter and Julius.ai[33:57] The infamous "Ligma Johnson" prank[35:59] Pitching Julius.ai’s vision to Jensen Huang[37:28] Engineering & Infrastructure Challenges[41:22] Product Design Challenges[42:01] Future Milestones for Julius.ai[43:11] Advice for Aspiring AI Founders—Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.—Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Haroon Choudery (CEO and Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.—Subscribe to Building With AI:Website: https://www.autoblocks.ai/bwaiX: https://twitter.com/buildingwith_aiWhere to find Rahul Sonwalkar:Linkedln: https://www.linkedin.com/in/rahulsonwalkar23/X: https://x.com/0interestratesLearn more about Julius.aiWebsite: https://julius.aiLinkedIn: https://www.linkedin.com/company/julius-ai/X: https://x.com/juliusai_Where to find Haroon Choudery:Linkedln: https://www.linkedin.com/in/haroonchoudery/X: https://x.com/haroonchouderyLearn more about Autoblocks:Website: https://www.autoblocks.ai/X: https://x.com/AutoblocksAI