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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 -
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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.ai
Website: 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 -
In this episode of Building With AI, host Hamza Choudery sits down with Quentin Clark, Managing Director at General Catalyst. Drawing from his extensive background, including senior engineering and product roles at Microsoft and serving as CTO at SAP and Dropbox, Quentin offers a privileged perspective on the latest wave of AI.
He provides an insightful breakdown of the modern AI stack—covering hardware, foundation models, platforms, and applications—and shares his bets on where value will accrue.
During the episode, they discuss:
Reimagining AI-native workflows,The “ChatGPT moment,"Challenges with enterprise AI adoption,Competition between incumbents and startups,Advice for product teams building AI-powered applications,And much more!—
[00:00] Up next:
[00:52] Episode introduction
[01:51] Autoblocks: AI Optimization Platform
[02:17] Quentin's introduction
[07:41] The “ChatGPT moment"
[25:48] The modern AI stack
[35:57] The future of AI in software engineering
[41:43] Competition between incumbents and startups
[46:57] Navigating non-determinism in AI
[49:37] The foundation model layer: API vs. open-source
—
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 Quentin Clark:
Linkedln: https://www.linkedin.com/in/quentin-clark/X: https://x.com/quentinclarkLearn more about General Catalyst:
Website: http://generalcatalyst.comLinkedIn: https://www.linkedin.com/company/general-catalyst/X: https://x.com/generalcatalystWhere 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 Hamza Choudery is hosting Akilesh, the CEO and founder of DeepScribe - a health tech company that uses LLMs and NLP to augment clinical documentation.
Akilesh grew up watching his dad, an oncologist, slog over tedious documentation tasks. Inspired by his father and their shared vision of a Jarvis-like assistant for doctors, he dove into the intersection of healthcare and AI.
During the conversation, they discuss:
His experience training custom NLP,How DeepScribe responded to the “ChatGPT moment,”The importance of AI evaluation and testing,The future of DeepScribe and Ambient AI,And much more!—
[00:00] Up next: [00:56] Episode introduction
[02:04] Autoblocks: AI Optimization Platform
[02:29] Akilesh’s introduction
[05:42] How LLMs Revolutionized NLP Development
[08:57] How does DeepScribe work?
[13:32] How DeepScribe responded to the ChatGPT moment
[20:18] How to choose the right LLM evaluation technique
[22:01] Building the ultimate AI product team
[24:32] DeepScribe's approach to evaluating at scale
[27:40] Challenges of building with non-deterministic systems
[29:01] DeepScribe's go-to-market strategy
[32:25] The future of DeepScribe and ambient AI
[36:40] Regulatory considerations for health tech companies
[38:48] DeepScribe's product roadmap
[40:42] DeepScribe's feedback loop
[42:29] Opportunities in health tech
[44:14] Akilesh's hottest AI take
[49:23] Open source vs. foundation models
—
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 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 Akilesh Bapu
Linkedln: https://www.linkedin.com/in/akileshbapu/X: https://x.com/akileshbapuLearn more about DeepScribe
Website: https://www.deepscribe.aiLinkedIn: https://www.linkedin.com/company/deepscribe/X: https://x.com/DeepScribeAIWhere 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, Haroon Choudery is joined by Dan Dayon, the founder of Readwise - a platform that enhances memory retention from reading by providing an all-in-one solution for managing digital content. Last year, Readwise ventured into the world of AI by launching Ghostreader, their AI reading assistant.
During the episode, Dan talks about:
UI/UX challenges he faced when designing AI products,The feature that unexpectedly became a fan favorite,Readwise's plans for the future,Automating "bullshit jobs,"And much more!—
[00:00] Up next:
[00:58] Episode introduction
[02:09] Autoblocks: AI Optimization Platform
[02:34] Dan’s introduction
[04:44] Readwise's journey
[15:56] Building traditional features vs. AI features
[23:25] Why Readwise won't build a chat feature
[27:46] The fan favorite feature
[31:18] Readwise's plans for the future
[40:11] Dan's "BS jobs" advice
—
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 Dan Dayon:
Linkedln: https://www.linkedin.com/in/danielfdoyon/X: https://twitter.com/deadly_onionLearn more about Readwise:
Website: https://readwise.ioLinkedIn: https://www.linkedin.com/company/readwise/X: https://twitter.com/readwiseWhere to find Haroon Choudery:
Linkedln: 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/X: https://twitter.com/AutoblocksAI -
In this episode of Building With AI, host Haroon Choudery is joined by Naveen Rao, VP of GenAI at Databricks. Naveen is a serial entrepreneur who established the first AI chip company, which he sold to Intel in 2016. He then founded MosaicML in 2020, which was acquired by Databricks for $1.3 billion last year.
During the episode, he shares:
MosaicML’s jobs to be done,Why MosaicML teamed up with Databricks,The economics of training AI models,Advice for teams building with AI,And much more!—
[00:00] Up next:
[00:51] Episode introduction
[01:40] Autoblocks: AI Optimization Platform
[02:06] Naveen's Introduction
[05:17] Naveen's experience scaling AI products
[06:52] Why we need to scale AI
[11:40] MosaicML's jobs to be done
[14:09] Why did MosaicML team up with Databricks?
[18:24] LLMs 101
[24:47] The economics of training AI models
[28:11] Training a new model vs. adapting a general model
[30:51] The shelf life of AI models
[34:33] A look into DSPy
[41:11] The challenges of DSPy
[43:59] Techniques and architectures that excite Naveen
[47:58] Advice for teams building with AI
—
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 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 Naveen Rao:
Linkedln: https://www.linkedin.com/in/naveen-rao-bba5b01/X: https://twitter.com/naveengraoLearn more about Databricks:
Website: https://www.databricks.comLinkedIn: https://www.linkedin.com/company/databricks/X: https://twitter.com/DatabricksWhere to find Hamza Choudery:
Linkedln: https://www.linkedin.com/in/hamzachouderyX: https://twitter.com/hamzachouderyLearn more about Autoblocks:
Website: https://www.autoblocks.ai/LinkedIn: https://www.linkedin.com/company/autoblocks/X: https://twitter.com/AutoblocksAI -
In this episode of Building With AI, host Hamza Choudery is joined by Vinod Khosla, the Founder of Khosla Ventures and a renowned technologist. Vinod has played a key role in Silicon Valley's history and is currently at the forefront of the latest wave of AI adoption as the first investor in OpenAI.
During the conversation, they discuss:
Vinod's philosophy on risk,Advice for entrepreneurs building with Al,Open-source vs. API models,The Al race between the US and China,And much more!—
[00:00] Up next:
[00:44] Episode introduction
[01:45] Autoblocks: AI Optimization Platform
[02:11] Vinod's introduction
[04:50] Building a techno-optimist worldview
[07:45] How do you become a visionary?
[12:44] Vinod’s manifesto
[16:36] The power of risk
[19:27] AI in the Khosla household
[22:54] AI’s impact on industries
[24:43] Insights into a successful product team
[26:21] Current opportunities in AI
[29:10] The AI race between the US and China
[33:00] Predictions on the AI race
[36:55] The future of vertical specific models
[38:34] Balancing dependencies and innovation
[40:00] AI as a reasoning engine
[44:08] The role of data in AI’s evolution
[47:02] Vinod’s hottest AI takes
[49:43] Vinod’s biggest motivation to get up
—
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 Vinod Khosla:
X: https://twitter.com/vkhoslaLearn more about Khosla Ventures:
Website: https://www.khoslaventures.comLinkedIn: https://www.linkedin.com/company/khosla-ventures/X: https://twitter.com/khoslaventuresWhere 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 is joined by Phil Vander Broek, Co-founder and CPO, and Karthik Sethuraman, a staff engineer at Dopt. Phil and Kathrik transitioned Dopt from a traditional SaaS platform to one that uses AI for in-product education and onboarding, leading to the launch of AI Assist earlier this month.
During the conversation, they discuss:
How Dopt adopted GenAI,Multimodal models vs. traditional LLMs,Guiding principles for AI-powered UX,The biggest technical challenge of developing AI Assist,Phil and Karthik's great learnings from building AI products,And much more!—
[00:00] Up next:
[00:51] Episode introduction
[02:03] Autoblocks: AI Optimization Platform
[02:56] Phil and Karthik's introduction
[04:58] How Dopt adopted GenAI
[11:11] Multimodal models vs. traditional LLMs
[16:03] All things Dopt AI Assist
[22:53] Guiding principles for AI-powered UX
[26:28] The biggest technical challenge in developing AI Assist
[30:03] Phil and Karthik's valuable insights from building AI products
[35:21] AI Assist outcomes: iteration & experimentation
[36:48] The future of AI Assist
[39:41] What is AI Assist?
[42:32] Phil and Karthik'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 Haroon Choudery (CEO 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 Phil Vander Broek:
Linkedln: https://www.linkedin.com/in/philipvanderbroek/X: https://twitter.com/philvbWhere to find Karthik Sethuraman:
Linkedin: https://www.linkedin.com/in/karthikramen/X: https://twitter.com/karthikramenLearn more about Dopt:
Website: https://www.dopt.comLinkedIn: https://www.linkedin.com/company/dopt/X: https://twitter.com/usecapitolWhere to find Haroon Choudery:
Linkedln: https://www.linkedin.com/in/haroonchoudery/X: https://twitter.com/haroonchouderyLearn more about Autoblocks:
Website: https://www.autoblocks.ai/X: https://twitter.com/AutoblocksAI -
In this episode of Building With AI, the host, Haroon Choudery, welcomes Shaun Modi, the CEO and Co-founder of Capitol AI. Shaun began his career as a UX designer at Google and an industrial designer at NASA. In 2014, he established his own design firm and launched over 50 products. He’s since founded Capitol AI, a knowledge engine and content generation platform that creates impactful stories.
Capitol AI's ethos,The product velocity imperative,Moving to open-source models,Why you should have a social layer to your platform,The monetization dilemma for startups,And much more!
During the conversation, they discuss:—
[00:00] Up next:
[00:37] Episode introduction
[01:45] Autoblocks: AI Optimization Platform
[02:38] Shaun's introduction
[04:36] The role of design in Shaun's life
[08:38] Capitol AI's ethos
[11:24] How to stand out in a radical space
[16:47] The product velocity imperative
[19:19] David vs. Goliath in AI
[21:34] How to benefit from feedback
[24:31] Shaun's advice for building with AI
[28:29] Moving to open-source models
[30:59] Why you should add a social layer to your platform
[34:17] The monetization dilemma for startups
[35:50] Sneak peek into Capitol AI
[39:18] The exciting future of GenAI
[43:14] Shaun'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 Haroon Choudery (CEO 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 Shaun Modi:
Linkedln: https://www.linkedin.com/in/shaunmodi/X: https://twitter.com/ShaunModiLearn more about Capitol AI:
Website: https://www.capitol.aiLinkedIn: https://www.linkedin.com/company/capitolai/X: https://twitter.com/usecapitolCapitol's demo: https://www.capitol.ai/story/0cbf7b6e-8ab2-4e91-b96d-7e677e7283ddWhere to find Haroon Choudery:
Linkedln: https://www.linkedin.com/in/haroonchoudery/X: 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 Haroon Choudery is joined by Tereza Tizkova, the Founding Member and Head of Growth and Community at e2b. Tereza's journey took her from a non-technical position as a Consultant at McKinsey to a pivotal role at e2b. The platform offers secure, sandboxed cloud environments for AI agents and AI apps.
During the conversation, they discuss:
Trust, safety, and the challenges of building agents,The ingredients for reliable AI agents,How e2b creates safe playgrounds,The challenges of running agents locally,The buzz around multi-agent collaboration,And much more!—
[00:00] Up next:
[00:37] Episode introduction
[01:40] Autoblocks: AI Optimization Platform
[02:33] Tereza's introduction
[03:56] What are AI agents?
[06:43] Trust, safety, and the challenges of building agents
[13:05] The ingredients for reliable AI agents
[14:37] How e2b creates safe playgrounds
[17:00] The challenges of running agents locally
[18:12] The inception of e2b
[19:04] How customers shape agents
[22:40] The 2025 vision
[26:52] The future of e2b
[28:15] The buzz around multi-agent collaboration
[32:56] Tereza's ultimate recommendation for frameworks
—
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 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 Tereza Tizkova:
Linkedln: https://www.linkedin.com/in/tereza-tizkova-568439174/X: https://twitter.com/tereza_tizkovaLearn more about E2B:
Website: https://e2b.devLinkedIn: https://www.linkedin.com/company/e2b-dev/X: https://twitter.com/e2b_devWhere to find Haroon Choudery:
Linkedln: https://www.linkedin.com/in/haroonchoudery/X: 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 Haroon Choudery is joined by Yasser Elsaid, Founder of Chatbase. After facing unexpected layoffs in his industry, Yasser transformed adversity into opportunity by creating Chatbase. This innovative AI product, now doing $3M in ARR, empowers companies to develop custom chatbots for their websites, revolutionizing customer interactions.
During the conversation, they discuss:
If a simple AI "wrapper" is enough to succeed,How Chatbase stands out in a crowded space,How to combat AI hallucinations,The inner workings of Chatbase's RAG system,How to create a thriving product community,And much more!—
[00:00] Up next:
[00:49] Episode introduction
[01:48] Autoblocks: AI Optimization Platform
[02:41] Yasser’s introduction
[03:20] The big tech offer
[05:20] The first mover advantage
[07:10] From first mover to long-term player
[09:01] Is a simple AI "wrapper" enough to succeed?
[10:55] How Chatbase stands out in a crowded space
[12:53] How Chatbase combats AI hallucinations
[15:56] The inner workings of Chatbase's RAG system
[21:57] The biggest problem Chatbase faces
[23:42] Moving up in the market
[26:25] Biggest lessons from programming AI products
[28:42] How Chatbase created a thriving product community
[32:47] Biggest opportunities and challenges in AI
[37:22] Yasser's hottest take on AI
—
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 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 Yasser Elsaid:
Linkedln: https://www.linkedin.com/in/yasserelsaidX: https://twitter.com/yasser_elsaid_Learn more about Chatbase:
Website: https://www.chatbase.coLinkedIn: https://www.linkedin.com/company/chatbase-co/Where to find Haroon Choudery:
Linkedln: https://www.linkedin.com/in/haroonchoudery/X: 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 Haroon Choudery is joined by Otto von Zastrow-Marcks, Founder and CEO of Midpage. Otto's journey from robotics to legal tech was motivated by the challenges lawyers encounter early in their careers. With Midpage, he introduced a generative AI platform designed to assist US lawyers in research and case drafting.
During the conversation, they discuss:
Why auto-completion is difficult to carry out in legal tech,How Midpage turns snippets into arguments,Building the right UI/UX,The biggest challenge of working with non-deterministic code,The future of legal tech,And much more!—
[00:00] Up next:
[00:11] Episode introduction
[01:08] Autoblocks: AI Optimization Platform
[02:01] Otto’s introduction
[03:22] Lawns to law: Why this Otto went into legal tech
[04:47] Midpage's Job To Be Done (JTBD)
[05:50] Otto's 'Aha!' moment
[07:01] Why auto-completion is difficult to carry out in legal tech
[08:42] How Midpage turns snippets into arguments
[11:41] Building the right UI/UX
[13:33] The tech stack behind Midpage
[15:43] Midpage's approach for effective retrieval
[19:36] The future of UI
[22:28] How startups can build an edge
[25:21] The biggest challenge of working with non-deterministic code
[27:36] The future of legal tech
[32:05] Otto'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 Haroon Choudery (CEO 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 Otto von Zastrow :
Linkedln: https://www.linkedin.com/in/otto-von-zastrow-marcks-631b74113/X: https://twitter.com/OttoZastrowLearn more about Midpage:
Website: https://www.midpage.aiLinkedIn: https://www.linkedin.com/company/midpage/X: https://twitter.com/OttoZastrowWhere 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 Haroon Choudery is joined by Bryan Bischof, the AI lead at Hex. Bryan joined the Hex Magic team in 2023, leveraging his insights to improve data science workflows through LLM integrations.
During the conversation, they discuss:
The Hex way of approaching jobs to be done,Why Bryan is over synthetic data,Bryan's three-stage recommender system,Retrieval techniques that don't work,Hex's game-changing metrics for AI performance,And much more!Bonus: Bryan reveals the questions he asks candidates during interviews...and guess what? Hex is currently on the lookout for fresh talent! So keep your 👀 peeled!
—
[00:00] Up next:
[00:08] Episode introduction
[00:55] Autoblocks: AI Optimization Platform
[01:48] Bryan’s introduction
[06:47] The Hex way of approaching jobs to be done
[10:34] To blank slate or not to blank slate
[11:32] How Hex prioritizes different pain points
[15:37] Challenges of building Hex: chain reactions, entropy, and latency issues
[19:04] How to build accurate and reliable agents
[22:27] The solution to evals
[26:33] How to build powerful evals
[31:46] Why Bryan is over synthetic data
[35:48] Bryan's three stage recommender system
[44:35] The role of data managers
[46:27] Retrieval techniques that don't work
[47:57] The team behind Hex Magic
[50:04] Hex vs. Jupyter
[51:41] Hex's game-changing metrics for AI performance
[54:39] The nuances of developing AI products
[01:00:40] Hex's future projects
—
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 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 Bryan Bischof:
Linkedln: https://www.linkedin.com/in/bryan-bischof/X: https://twitter.com/BEBischofBryan’s Book: https://www.oreilly.com/library/view/building-recommendation-systems/9781492097983Learn more about Hex:
Website: https://hex.techLinkedIn: https://www.linkedin.com/company/hex-technologies/X: https://twitter.com/_hex_techLearn more about Hex Magic:
Website: https://hex.tech/product/magic-ai/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://twitter.com/AutoblocksAI -
In this episode of Building With AI, host Haroon Choudery is joined by Chelsey Tanaka, the Product Lead for AI at Airtable. Chelsey is a seasoned product manager with over 12 years of experience in enterprise SaaS companies across diverse industries like energy, construction, and autonomous vehicles.
During the conversation, they discuss:
How Airtable integrated AI into their product,Large enterprises and the fear of AI adoption,Airtable's AI team and initiatives,The AI space's moonshot,Airtable’s different success metrics for AI features,And much more!—
[00:00] Up next:
[00:44] Episode Introduction
[01:32] Autoblocks: AI Optimization Platform
[02:25] Chelsey’s introduction
[04:01] Airtable's journey to where it is today
[06:20] How did Airtable go about integrating AI into their product
[10:28] Large enterprises and the fear of AI adoption
[13:11] How Airtable got enterprises on board with GenAI
[18:35] Prioritizing initiatives: easy solutions to paradigm shifts
[22:28] AI space's moons: the Q&A project
[24:01] The different success metrics for AI features
[25:15] Working with traditional products vs. AI products
[28:58] Unique challenges of working with GenAI products
[33:47] Learning as a way to build great GenAI products
[34:57] Agility: the name of the game
[37:51] The fundamental principles of product development in AI
[40:41] Vision for the future of the low Code/no Code 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 Haroon Choudery (CEO 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 Chelsey Tanaka:
Linkedln: https://www.linkedin.com/in/chelseytanaka/Learn more about Airtable:
Website: https://www.airtable.com/v1LinkedIn: https://www.linkedin.com/company/airtable/X: https://twitter.com/airtableWhere 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 Haroon Choudery is joined by Jason Liu, a seasoned AI operator and consultant who advises seed-stage start-ups on tech strategy, research, and infrastructure.
With several years of experience in machine learning, Jason has gained recognition for creating AI-specific dev tooling and contributing to several open-source projects.
During the conversation, they discuss:
General applications vs. AI applications,How developers should work with LLMs,What LLMOps companies need to focus on,Why saying 'no' can improve your AI's success rate,Building agile AI systems,Best practices for RAG systems,And much more!—
[00:00] Up next: Jason Liu
[00:25] Episode Introduction
[01:12] Autoblocks: AI Optimization Platform
[02:07] Jason's introduction
[03:44] General applications vs. AI applications
[05:08] The two categories of dev tools
[06:43] The AI landscape for non-technical users
[08:47] The one skill developers need
[09:57] The eval puzzle
[11:52] What LLMOps companies need to focus on
[16:26] Why saying 'no' can improve your AI's success rate
[18:15] How can you build an agile AI system?
[21:41] Strategies for building products that stick
[24:29] Similarities between RAG and recommendation frameworks
[26:03] Best practices for RAG systems
[28:27] The importance of short-term metrics
[29:30] Data strategies for effective RAG systems
[35:22] Jason's hottest take on AI
[36:22] Jason's future projects
—
Brought to you by Autoblocks (https://www.autoblocks.ai) — how product teams deliver better AI experiences.
—
Subscribe to Building With AI:
Website: https://www.bwai.autoblocks.aiX: https://x.com/bwaipodcastWhere to find Jason Liu:
Linkedln: https://www.linkedin.com/in/jxnlco/X: https://twitter.com/jxnlcoWhere 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 Haroon Choudery is joined by Logan Kilpatrick, who leads developer relations at OpenAI. After a year at the frontier of AI development, Logan digs into an important question: How do you empower developers to build with GenAI?
During the conversation, they discuss:
Crafting robust and reliable AI systems,The trade-off between creativity and control,The role of OpenAI in the developer ecosystem,Opportunities & risks for AI developers,Best practices for AI product builders,And much more!—
[00:00] Up next: Logan from OpenAI
[00:28] Episode introduction
[01:04] Autoblocks: AI Optimization Platform
[01:56] Logan’s Introduction
[03:26] Challenges in AI development
[06:50] Trade-off between control and creativity
[09:51] Improving developer experience with OpenAI
[11:51] OpenAI’s vision for the future
[12:34] Opportunities and risks for AI developers
[15:01] Industry best practices for developers and builders
[16:84] Future of retrieval
[18:54] Evolution of the data ecosystem
[20:50] First principles approach to AI products
[23:12] Startups vs. incumbents
[26:01] What future models have in store
[29:54] Role of open-source models
[33:45] Advice for AI builders
[35:19] Reflections on recent events at OpenAI
[36:51] Logan’s hottest take on AI
[38:14] Predictions on the future of AGI
[39:52] Outro
—
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 of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.
—
Subscribe to Building With AI:
Website: https://www.bwai.autoblocks.aiX: https://x.com/bwaipodcastWhere to find Logan Kilpatrick:
Linkedln: https://www.linkedin.com/in/logankilpatrick/X: https://x.com/OfficialLoganKLearn more about OpenAI:
Website: https://openai.com/LinkedIn: https://www.linkedin.com/company/openai/X: https://x.com/OpenAIWhere to find Haroon Choudery:
Linkedln: https://www.linkedin.com/in/haroonchoudery/X: https://x.com/haroonchouderyLearn more about Autoblocks:
Website: https://www.autoblocks.aiX: https://x.com/AutoblocksAI - もっと表示する
