How Founders Use AI

How people use AI, and the tool for each job.

The AI map of which tool is for which job, checked on 29 October 2026, what changed since July, and every video, thread, guide, podcast and tool behind 278 answered questions on putting AI to work.

The AI map: which tool is for which job, as of 29 October 2026

Models and assistants AI assistants Frontier models Open-weight models Decision models

Building with AI Coding agents App builders Design and presentations Spreadsheets, data and internal tools

Agents and research Agents that do tasks for you AI browsers No-code automation with AI steps Research and search Meeting notes and everyday productivity

Making media Video generation Images Avatars and voice Music and audio Video editing

AI at work Prospecting and sales Marketing, ads and AI search Customer support agents Legal and contracts Finance and accounting Hiring and HR

What changed since July

  1. 28 Oct 2026 GitHub began including Copilot with GitHub Enterprise licences and added projects to the Copilot app, where several agents work across repositories. Coding agents github.blog
  2. 27 Oct 2026 n8n released the 3.0 beta, a reliability and security release with breaking changes; self-hosting now runs on Docker only and the stable release is due in early December. No-code automation with AI steps blog.n8n.io
  3. 27 Oct 2026 Hex released Hex 4.0, rebuilt for analysts and AI agents working together, with a $100 million raise. Spreadsheets, data and internal tools hex.tech
  4. 26 Oct 2026 Replit launched Replit for Business, and the next day Cloud Agents that let non-engineers propose changes to a company codebase. App builders blog.replit.com
  5. 26 Oct 2026 OpenAI released GPT-6.1 Terra at $1 / $5 per million tokens, half the price of GPT-6.1 Sol. Frontier models openai.com
All 108 changes

What founders use most, ranked by how many answers lean on it.

  1. The Instructor creator on why validation beats vibes for reliability. latent.space Podcast High Agency Pydantic > VC Backed Frameworks, with Jason Liu Latent Space
  2. How Anthropic's own design team works when the material being designed is a model. lennysnewsletter.com Podcast The design process is dead. Here's what's replacing it. | Jenny Wen Lenny's Podcast with Jenny Wen (Claude design lead)
  3. Designing AI features by prototyping against real models, not static mocks. lennysnewsletter.com Podcast How Notion's design team uses Claude Code to prototype How I AI with Brian Lovin (Notion)
  4. Heller sold Casetext for $650M; he explains exactly where the defensibility lived. creators.spotify.com Podcast Why Vertical LLM Agents Are The New $1 Billion SaaS Opportunities Y Combinator with Jake Heller (Casetext)
  5. When everyone has the same models, taste and product quality become the differentiator. open.spotify.com Podcast Figma's CEO: Why AI makes design, craft, and quality the new moat Lenny's Podcast with Dylan Field
  6. Why speed itself is now a moat, and what that demands of a small team. a16z.com Podcast How AI Created the Fastest Product Cycle in History a16z (Anish Acharya)
  7. The Sierra founder on where agents genuinely outperform, from thousands of deployments. open.spotify.com Podcast Transforming Customer Service through Company Agents, with Bret Taylor No Priors (Sarah Guo and Elad Gil)
  8. The founder behind the famous $0.99-per-resolution model on how it actually scaled. open.spotify.com Podcast AI agent Fin nearing $100m revenue: Des Traynor Scaling Europe
  9. Last's first outside interview on the practical engineering of a reliable AI product at scale. open.spotify.com Podcast How Notion Cofounder Simon Last Builds AI for Millions of Users AI and I (Dan Shipper, Every)
  10. Google's CEO pressed hard on what AI answers do to the web, straight from the incumbent's mouth. podcasts.apple.com Podcast Google's Sundar Pichai on AI-powered search and the future of the web (Decoder) Nilay Patel, The Verge
  11. Isa Fulford and Josh Tobin on what the agent is actually good and bad at, from the source. sequoiacap.com Podcast OpenAI's Deep Research on Training AI Agents End-to-End (Training Data) Sequoia Capital
  12. Researchers debate what the hallucination paper actually means for everyday users. ibm.com Podcast Why language models hallucinate (Mixture of Experts) IBM Mixture of Experts
  13. A business-use-case shootout of the deep research modes specifically. multiplai.ai Podcast The Ultimate Battle of Deep Research: ChatGPT vs Gemini vs Perplexity vs Grok vs You (Leveraging AI ep 171) Isar Meitis, Leveraging AI
  14. The foundational interviewing craft your AI synthesis is only as good as. open.spotify.com Podcast Teresa Torres on how to interview customers (Lenny's Podcast) Lenny Rachitsky
  15. A running feed of screen-shared research workflows, prompts included. lennysnewsletter.com Podcast How I AI (show hub): practical AI workflows from top operators Claire Vo / Lenny's Network
  16. A longer cut going deeper on Reddit strategy without spamming. open.spotify.com Podcast The ultimate guide to AEO (Director's Cut) on Masters of Search Masters of Search
  17. Indig unpacks the behavior shift behind all the AEO tactics. marketingspeak.com Podcast The Future of Search Isn't Search (with Kevin Indig) Marketing Speak
  18. The build story with the team, full of hints about using it well. latent.space Podcast How NotebookLM Was Made Latent Space
  19. The creators explain grounding and why it hallucinates less. podcasts.apple.com Podcast Inside NotebookLM with Raiza Martin and Steven Johnson Google DeepMind Podcast (Hannah Fry)
  20. A strategic conversation on source-grounded AI as a research paradigm. exponentialview.co Podcast How NotebookLM was created and where it's going (live with Steven Johnson) Azeem Azhar, Exponential View
  21. A business-user walkthrough of the current feature set. youreverydayai.com Podcast NotebookLM: New features, what's next and complete walkthrough (Everyday AI ep 627) Everyday AI (Jordan Wilson)
  22. The builders on what the agent is genuinely good for versus demo-ware. sequoiacap.com Podcast OpenAI Just Released Its Powerful New ChatGPT Agent (Training Data) Sequoia Capital
  23. Concrete business workflows, including competitor and market monitoring. youreverydayai.com Podcast 5 Business Use-Cases for Comet, Perplexity's agentic browser (EP 614) Everyday AI (Jordan Wilson)
  24. Patel presses Google's CEO on Google Zero directly; hear the incumbent's answer. open.spotify.com Podcast How Sundar Pichai is rethinking Google for the AI era (Decoder) Nilay Patel, The Verge

Show the next 24

Playbooks

A goal, and the route through it a step at a time.

Start using AI well Pick an assistant, learn with it, hand it real work, and keep yourself and your data safe. 5 steps Build your product with AI From a prompt to a shipped product: prototype, build, and wire AI into what you ship. 6 steps Code and ship with AI Write, ship, and maintain real software as a founder, with AI as your pair. 4 steps Design and prototype with AI Go from idea to a clickable prototype without a designer. 3 steps Build AI agents and automations Wire up agents and internal tools that do real work for you. 3 steps Put AI inside your product Ship AI features users actually feel, not a bolted-on chatbot. 3 steps Research your market with AI Size the market, study competitors, and read data in hours, not weeks. 3 steps Market and grow with AI Content, creative, and distribution: fill the top of the funnel without a big team. 5 steps Create content with AI Write, film, and design a content engine that runs without a team. 3 steps Get found in AI search Show up when founders and buyers ask AI, not just Google (AEO/GEO). 3 steps Run ads with AI Brief creatives, read the numbers, and optimize spend with AI. 3 steps Find and serve customers with AI Research the market, prospect, close, and support, with AI doing the heavy lifting. 4 steps Sell and prospect with AI Find leads, personalize outreach, and run better sales calls. 3 steps Support customers with AI Answer faster and deflect tickets without losing the human touch. 3 steps Run the back office with AI The unglamorous grind: workflows, finance, legal, and hiring, automated where it counts. 5 steps Automate your workflows Stitch your tools together so the busywork runs itself. 3 steps Hire and manage your team with AI Source, screen, and onboard faster, and keep the team in sync. 3 steps Handle legal and finance with AI Draft contracts and stay on top of the numbers without a big spend. 2 steps Be more productive with AI Get more done and think sharper with AI as a daily habit. 3 steps Become an AI-native founder The meta-skills: build your stack, prompt well, and use AI to research, think, and decide. 6 steps Build your AI stack Pick the tools worth paying for and the prompts worth reusing. 3 steps

The questions, by topic

Building & Product

Vibe Coding 15 Databases & Internal Tools 11 AI Agents 15 Design & Prototyping 12 AI in Your Product 13

Research & Knowledge

Search & Research 13 Market Research 13 Data Analysis 13

Marketing & Growth

Content Creation 12 Video, Image & Audio 14 Getting Found in AI Search (AEO/GEO) 12 Ads & Performance Marketing 14 Social & Community 12

Sales & Customers

Sales Prospecting 13 Customer Support 6 CRM & Sales Calls 12

Operations & Back-office

Legal & Contracts 13 Finance & Accounting 3 Hiring & HR 3 Productivity 3 Workflows & Automation 3

Strategy & The AI-Native Founder

Fundraising 6 Prompting 3 Building Your AI Stack 3 AI as a Thinking Partner 4

Everyday AI

Choosing Your AI Assistant 8 Learning with AI 7 Working with AI Agents 7 Using AI Safely 8 AI in Indian Languages 7
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