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1:03:05ENHarrison Chase on Building Reliable Agents, Model Routing and MemoryGuest Harrison Chase · Host Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.
58:54ENMike Cannon-Brookes on AI Agents, Enterprise Context and the Future of InterfacesGuest Mike Cannon-Brookes · Host Harry StebbingsAtlassian's CEO argues that agents make product design more important, explains the trade-offs in enterprise AI, and makes the case for slower thinking.
1:08:54ENParag Agrawal on Web Search and Business Models for AI AgentsGuest Parag Agrawal · Host Harry StebbingsParallel’s co-founder explains why agent search needs different economics, how content owners might be paid and why agent safety requires more than model capability.
1:19:04ENDaniel Dines on AI Agents, Enterprise Work and the Limits of AutomationGuest Daniel Dines · Host Harry StebbingsThe UiPath co-founder argues that companies need a map of work and reliable automation alongside AI, while Harry Stebbings challenges his assumptions about how fast jobs will change.
1:16:00ENJD Grèze on Building Town and Competing in AI AssistantsGuest Jean-Denis Greze · Host Harry StebbingsTown’s co-founder discusses privacy, model costs, competition and why he prioritizes customer value over token consumption.
1:28:28ENJulien Bek on Sequoia’s Investment Process, Founder Judgment and AI MarketsGuest Julien Bek · Host Harry StebbingsThe Sequoia partner explains how he develops conviction, evaluates founders and thinks about a market where AI agents may become customers.
1:05:02ENJoon Sung Park on Simulating Human Behavior and Building SimileGuest Joon Sung Park · Host Harry StebbingsThe Simile co-founder explains his research on generative agents, the challenges of validating simulations, and his ambitions for a business built around modeling people.
1:29:35ENFred Turner on Curative’s Pandemic Pivot, Health Insurance and AI AutomationGuest Fred Turner · Host Harry StebbingsCurative’s CEO recounts building a COVID testing operation, moving into health insurance and using AI agents across the company’s workflows.
1:00:08ENArvind Jain on Enterprise AI, Open Models and the Future of WorkGuest Arvind Jain · Host Harry StebbingsThe Glean founder debates model competition, enterprise AI returns and whether productivity gains will shrink teams or raise the bar for everyone.
1:11:01ENMike Mignano on AI Applications, Open Models and Venture StrategyGuest Mike Mignano · Host Harry StebbingsThe USV partner discusses AI agents, token spending and the opportunities and risks for startups building above the model layer.
1:11:53ENSierra Co-founder Clay Bavor on Open Models, Enterprise AI and Building TeamsGuest Clay Bavor · Host Harry StebbingsBavor discusses model selection and compute costs, deploying AI agents for enterprises, and how Sierra approaches hiring and company culture.
1:35:16ENPerplexity CEO Aravind Srinivas on AI Agents, Compute and CompetitionGuest Aravind Srinivas · Host Harry StebbingsSrinivas discusses the future of AI products, infrastructure constraints, export controls and the challenge of building a business around model advances.
1:00:33ENJerry Murdock on Autonomous Agents, Software Investing and Adapting to ChangeGuest Jerry Murdock · Host Harry StebbingsThe Insight Partners co-founder discusses agent infrastructure, investment judgment, employment and lessons from previous technology cycles.
1:03:18ENAlexander Embiricos on Codex, Coding Agents and the Future of BuildingGuest Alexander Embiricos · Host Harry StebbingsOpenAI’s Codex product lead discusses delegation, review, enterprise adoption and his vision for general-purpose agents. His product claims and forecasts reflect his role at OpenAI and are not independently tested in the interview.
1:20:02ENAnish Acharya on AI Software, Investment Judgment and the Limits of AutomationGuest Anish Acharya · Host Harry StebbingsThe a16z investor discusses incumbent software, agent products, pricing, margins and the choices founders face in a fast-moving market.
1:17:01ENJonathan Siddharth on AI Training Data, Enterprise Agents and the Future of WorkGuest Jonathan Siddharth · Host Harry StebbingsThe Turing CEO discusses reinforcement-learning environments, enterprise deployment and his expectations for AI-driven changes to software and employment.
47:04ENKevin Scott on AI Products, DeepSeek and the Future of SoftwareGuest Kevin Scott · Host Harry StebbingsMicrosoft’s CTO discusses model efficiency, agents, coding and why useful products matter in an AI transition.
1:08:12ENGeorge Sivulka on Hebbia, Enterprise AI and the Future of WorkGuest George Sivulka · Host Harry StebbingsThe Hebbia founder discusses document analysis, inference scaling, enterprise adoption and his forecasts for models and employment.
39:21ENSam Altman on Model Improvements, Agents and Startup OpportunitiesGuest Sam Altman · Host Harry StebbingsThe OpenAI CEO discusses where startups may build as models improve, and reflects on reasoning, infrastructure and leadership.
1:16:09ENBret Taylor on AI Applications, Model Costs and Building SierraGuest Bret Taylor · Host Harry StebbingsThe Sierra co-founder discusses why most companies may buy AI solutions, how agents need guardrails and what founders can learn from technology leaders.
1:06:53ENMatt Clifford on AI Scaling, China, Defense and Finding FoundersGuest Matt Clifford · Host Harry StebbingsThe Entrepreneur First co-founder weighs new AI ideas against compute constraints, examines competing scenarios for China, and explains how he evaluates entrepreneurial talent.
58:18ENDavid Luan on Model Scaling, AI Agents and Competition Across the Chip StackGuest David Luan · Host Harry StebbingsThe Adept co-founder explains his views on compute, vertical integration, enterprise agents and why human interaction should shape AI product design.
59:47ENAaron Levie on AI Agents, SaaS Pricing and the Race Between Startups and IncumbentsGuest Aaron Levie · Host Harry StebbingsThe Box CEO considers how AI might change business workflows, employment and software pricing, and why established companies and startups both have a chance.









