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42:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 24일팟캐스트 · 2명They Paid $7.7 Billion for a Broker — and Intend to Do One Deal a Year진행자 Sarah Guo, Elad GilSequence Holdings co-founder Michael Lee tells No Priors why owning a market leader, not selling it software, is how AI actually remakes an incumbent.기업과 전략엔터프라이즈 AIAI Strategy+3
1:19:04EN
20VC with Harry Stebbings· 2026년 9월 21일팟캐스트 · 2명Daniel Dines on AI Agents, Enterprise Work and the Limits of Automation게스트 Daniel Dines · 진행자 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.엔터프라이즈 AIWorkflow automationAI agents+2
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 17일팟캐스트Eighty percent of what agents do should still be ordinary code진행자 Nathan LabenzZapier CEO Wade Foster tells Nathan Labenz that models top out at 40% on real automation tasks, users will not leave their daily driver, and the winning move is headless tools delivered through MCP.MCP와 도구MCPWorkflow automation+3
34:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 7월 31일팟캐스트 · 2명Netic's Agents Answer the Phone When the Heat Breaks진행자 Sarah Guo, Elad GilFounder Melisa Tokmak tells Elad Gil how a two-year-old platform became the AI operations layer for HVAC, roofing, pet care, and other essential services.기업과 전략음성 AIWorkflow automation+3
2:23:43EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 27일팟캐스트He Bought an Android, Two SIMs, and Left Claude Watching His Inbox진행자 Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.제품과 UXAI interface designPersonal agents+3
1:29:35EN
20VC with Harry Stebbings· 2026년 7월 18일팟캐스트 · 2명Fred Turner on Curative’s Pandemic Pivot, Health Insurance and AI Automation게스트 Fred Turner · 진행자 Harry StebbingsCurative’s CEO recounts building a COVID testing operation, moving into health insurance and using AI agents across the company’s workflows.AI in healthcareEntrepreneurshipWorkflow automation+2
38:24EN
Sequoia Capital· 2026년 5월 19일팟캐스트Serval's Bet: Keep ServiceNow's Primitives, Take Humans Out of the BuildJake Stauch tells Sequoia's Pat Grady how a two-year-old ITSM startup uses codegen agents, boring enterprise controls, and "fewer, better" hiring to rebuild employee support for the AI era.기업과 전략엔터프라이즈 AIWorkflow automation+3
2:12:51EN
Cognitive Revolution "How AI Changes Everything"· 2026년 4월 19일팟캐스트Steve Newman’s fifteen-app stack exists so he only has to look at one screen진행자 Nathan LabenzThe Writely founder walks Nathan Labenz through a vibe-coded attention firewall, a conservative security stance, and why astonishing models still leave him far from AGI.코딩 에이전트Personal agentsWorkflow automation+3
57:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 4월 17일팟캐스트 · 2명Copying One ServiceNow App with a Language Model Costs Ten Times as Much진행자 Sarah Guo, Elad GilBill McDermott tells Sarah Guo why the SaaS apocalypse fails a cost test, why models still cannot close a case, and how agents are already doing most of ServiceNow’s customer-service work.기업과 전략엔터프라이즈 AIWorkflow automation+3
29:26EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 4월 3일팟캐스트 · 2명ChatGPT Almost Became a Meeting Bot. Its Co-Creator Is Now Rearranging Atoms진행자 Sarah Guo, Elad GilLiam Fedus tells No Priors how Periodic Labs is connecting language models to experiments so materials science can run in a closed loop.기업과 전략AI for scienceCompany Building+3
51:56EN
Sequoia Capital· 2026년 2월 3일팟캐스트Insurance Spends $70 Billion on BPOs. Pace Wants 80% Gross Margins InsteadJamie Cuffe tells Sequoia's Training Data how Pace is turning insurance back-office work into agentic process outsourcing—and why every one of its pilots has reached production.기업과 전략엔터프라이즈 AI에이전트 엔지니어링+3
59:43EN
Sequoia Capital· 2025년 9월 30일팟캐스트Goose is writing its own pull requests: how Block is trying to save a quarter of the weekCTO Dhanji Prasanna tells Sequoia how an open-source agent, a functional reorg, and a weekly hours-saved metric are turning Block into an AI-first company.기업과 전략엔터프라이즈 AI에이전트 엔지니어링+3
35:45EN
Sequoia Capital· 2025년 8월 26일팟캐스트Six Years of Revenue, Then Four Times That in Eight Monthsn8n CEO Jan Oberhauser tells Sequoia how two bets — becoming an AI-agent builder, then deleting the leads metric — turned a workflow tool into a default orchestration layer.에이전트Company BuildingWorkflow automation+3
1:27:01EN
Cognitive Revolution "How AI Changes Everything"· 2025년 8월 2일팟캐스트The $16 Trillion Services Market Is Being Bought, Not Sold To진행자 Nathan LabenzMarc Bhargava of General Catalyst explains how AI-enabled rollups turn low-margin service firms into compounding, software-like businesses.기업과 전략AI StrategyCompany Building+3
1:28:48EN
Cognitive Revolution "How AI Changes Everything"· 2025년 7월 10일팟캐스트Doctors code at 45%. The model beat them by 12 points — then 4,000 physicians had to try it once.진행자 Nathan LabenzAmbience Healthcare and Cleveland Clinic walk through the AI scribe that cut pajama time, climbed ICD-10 with reinforcement fine-tuning, and won 75% voluntary use.기업과 전략AI in healthcare파인튜닝+3
3:08:35EN
Cognitive Revolution "How AI Changes Everything"· 2025년 4월 21일팟캐스트o3 isn't AGI. Zvi Mowshowitz still put p(doom) at 70 percent진행자 Nathan LabenzOn his ninth visit to The Cognitive Revolution, Zvi Mowshowitz argues that OpenAI's o3 is a tool-use leap rather than AGI, then explains why he raised the probability of AI catastrophe anyway.보안과 안전AGI(범용 인공지능)Existential Risk+3
1:11:05EN
Sequoia Capital· 2025년 4월 1일팟캐스트The Man Who Took HubSpot CRM to $40 Million Says the Data Model Has to Be Thrown OutDay.ai founder Christopher O’Donnell tells Sequoia’s Pat Grady why classic CRM is compressed pixel art, why full self-driving scared his users, and why every line of code has to make every other line more valuable.기업과 전략엔터프라이즈 AIProduct Strategy+3
43:04EN
Sequoia Capital· 2025년 3월 25일팟캐스트750 Million Excel Users, 30 Million Engineers: Wordware's Bet on Word ArtisansFilip Kozera tells Sequoia why English is the assembly language of LLMs, and why the people who win will be the ones who can encode taste into structured prompts.에이전트에이전트 엔지니어링Prompting & in-context learning+3
54:47EN
Sequoia Capital· 2025년 2월 4일팟캐스트Ninety Thousand Games a Day: Roblox's Bet That AI Should Wash the DishesStef Corazza, head of generative AI at Roblox, tells Sequoia how a free Studio assistant, a community data bargain, and a 3D foundation model are meant to teach AI game development.제품과 UXProduct StrategyAI interface design+3
38:48EN
Sequoia Capital· 2024년 12월 3일팟캐스트Who Wants to Chat With an Expense Report?Ramp CEO Eric Glyman tells Sequoia why the chatbot gold rush missed the point, and why the better analogy for company finance is a Waymo: self-driving money.제품과 UX엔터프라이즈 AI금융 AI+3
51:38EN
Sequoia Capital· 2024년 11월 19일팟캐스트Clay Wants to Be a Guitar, Not a Microwave, for Go-to-Market TeamsKareem Amin tells Sequoia’s Alfred Lin why Clay is building a system of action for growth rather than an AI that replaces SDRs.기업과 전략AI in sales & marketingGo-to-Market+3
55:05EN
Cognitive Revolution "How AI Changes Everything"· 2024년 9월 26일팟캐스트400,000 Customers, 100 Million AI Tasks: Zapier’s CEO on Making Computers Do More Work진행자 Nathan LabenzWade Foster tells Nathan Labenz how a no-code automation company absorbed LLMs, cloned its CEO with a prompt, and is trying to turn a DIY toolkit into packaged solutions.기업과 전략Workflow automationProduct Strategy+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· 2024년 9월 18일팟캐스트The More You Constrain an Agent, the More You Can Trust It진행자 Nathan LabenzAgent.ai engineering lead Andrei Oprisan tells Nathan Labenz why narrow, highly prescribed workflows beat open-ended autonomy — and how a 12-person team shipped a free agent network past 40,000 users in a few months.에이전트에이전트 엔지니어링Workflow automation+3
1:51:00EN
Cognitive Revolution "How AI Changes Everything"· 2024년 8월 21일팟캐스트Start With Ten Gold Examples: A Three-Step Playbook for AI Automation진행자 Nathan LabenzThe day after OpenAI opened GPT-4o fine-tuning, Nathan Labenz unpacks a three-year method for choosing work, extracting tacit judgment, and raising model performance.기업과 전략Workflow automationPrompting & in-context learning+3
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