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.

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. Maps every legal task to whether ChatGPT is good, risky, or hopeless at it. juro.com Guide ChatGPT for lawyers: best use cases for legal teams Juro In 2 answers
  2. The ABA's own guidance on structuring legal questions to AI, directly applicable to NDA and compliance queries. americanbar.org Guide Legal ChatGPT: Tips, Prompts, and Use Cases American Bar Association In 2 answers
  3. The privilege gap explained: your AI chats are discoverable, your lawyer conversations are not. artificiallawyer.com Article ChatGPT Has No Legal Privilege: Is This A Problem? Artificial Lawyer In 2 answers
  4. A 3x general counsel draws the exact line between AI-safe questions and lawyer-required ones. gc.ai Article AI Legal Advice: What It Does and Where Liability Sits GC AI (Cecilia Ziniti) In 2 answers
  5. The cautionary tale: Krafton's CEO followed ChatGPT over his own legal team and lost badly. 404media.co Article CEO Asks ChatGPT How to Void $250 Million Contract, Ignores His Lawyers, Loses Terribly in Court 404 Media In 2 answers
  6. The bar association's plain-language taxonomy of the three ways AI fabricates law. nysba.org Article Beyond the Mirage: Beware of Generative AI and Hallucinations New York State Bar Association In 2 answers
  7. The practical differences between the two models most founders already pay for. spellbook.com Article Claude vs ChatGPT for Lawyers: Which AI Is Better for Legal Work? Spellbook In 2 answers
  8. Current, concrete attorney workflows you can copy with the tools you already have. gavel.io Guide ChatGPT and Claude for Lawyers: How Attorneys Use AI in 2026 Gavel In 2 answers
  9. A practitioner's honest account of where Claude's legal outputs beat ChatGPT's. attorneyatwork.com Article Why I Switched from ChatGPT to Claude AI for Lawyers Attorney at Work In 2 answers
  10. Fresh worked dilution examples to test your own numbers against. waveup.com Guide What Is a SAFE Note? Mechanics, Caps and Dilution Examples Waveup In 2 answers
  11. Investor-relations platform's practical build guide with stage-appropriate scoping. visible.vc Guide Startup Data Room: What It Is, What to Include, and How to Build One Visible.vc In 2 answers
  12. Free official prompt library covering cash-flow modeling, revenue forecasting and financial reporting, a fast way to start... academy.openai.com Guide ChatGPT for finance, use cases and prompts OpenAI Academy In 2 answers
  13. The definitive reference on how project files, project-level instructions, and project memory actually behave, worth skimming... help.openai.com Guide Projects in ChatGPT (official help guide) OpenAI Help Center In 2 answers
  14. The vulnerability stats behind the anecdotes. web.archive.org Article Vibe coding security risks: why 53% of AI code has security holes Autonoma In 2 answers
  15. Primary source on the consistency features that make Runway usable for real brand work. runway.com Article Runway Gen-4: AI video generation with world consistency Runway In 2 answers
  16. The strongest counter-argument: her data shows AI ads underperforming real creators. runneth.com Article Savannah Sanchez, The Social Savannah (Motion expert profile) Motion In 2 answers
  17. OpenAI's own prompting guidance for its current models, at an address that moves with each new one. developers.openai.com Guide Using GPT-6: prompt guidance OpenAI In 2 answers
  18. The same idea in Claude: a workspace with its own knowledge base that a team can share. support.claude.com Guide What are projects? Claude Help Center In 2 answers
  19. Lovable's own post on planning an app, or working on a launched one, in chat before spending any build credits. lovable.dev Article You can now chat with Lovable for free Lovable In 2 answers
  20. An agent that reads your live app's logs, finds the cause of a failure, tests a fix and tells you what changed. blog.replit.com Article Replit Monitoring Agent: Your very own software engineering team Replit In 2 answers
  21. Lovable's growth tools, which write a growth plan and carry it out across Google Search, YouTube, Maps, Ads, Facebook and... lovable.dev Article From building your app to growing it: Lovable now helps you find customers Lovable In 2 answers
  22. OpenAI's docs for the managed route: it runs sessions, orchestration, context compaction and a sandbox while you supply the tools. developers.openai.com Guide Agents API overview OpenAI In 2 answers
  23. Fresh numbers on what developers actually use for orchestration and automation: LangChain, the OpenAI Agents SDK, Make and n8n. survey.stackoverflow.co Article Stack Overflow Developer Survey 2026: AI Stack Overflow In 2 answers
  24. OpenAI's endpoint for probability, choice and score answers on GPT-6 Luna, about 10x faster than the Responses API, for routing... developers.openai.com Guide Decisions API guide OpenAI In 2 answers

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

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Sales & Customers

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