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. 200+ analyzed tasks and 14 failure modes, the evidence behind the caution. arxiv.org Article Why Do Multi-Agent LLM Systems Fail? UC Berkeley (MAST)
  2. The digestible summary of where multi-agent systems break. sky.cs.berkeley.edu Article MAST project page UC Berkeley Sky Computing Lab
  3. A neutral recap of the whole debate if you want it in ten minutes. ctol.digital Article AI Leaders Clash Over Agent Architecture CTOL Digital
  4. Frames the choice as a coordination-cost calculation, which is the right lens. cognilium.ai Article Multi-Agent vs Single Agent: When It's Worth the Cost Cognilium
  5. Extracts the engineering lessons hiding inside Anthropic's post. llmmultiagents.com Article The Art of Multi-Agent Collaboration: Reflections on Anthropic's Research System LLM Multi Agents
  6. Maps each MAST failure mode to a practical fix. futureagi.substack.com Article Why do multi-agent LLM systems fail (and how to fix) Future AGI
  7. The paper's findings retold for people who won't read a paper. thegrigorian.medium.com Article Why Do Multi-Agent LLM Systems Fail? (explainer) Anna Alexandra Grigoryan
  8. The case study written for someone deciding whether to copy the pattern. zenml.io Article Anthropic's multi-agent research system (LLMOps case study) ZenML
  9. A CEO describing non-technical teammates shipping via the terminal. x.com Thread Dan Shipper: Claude Code cracked something open for us Dan Shipper
  10. The clearest head-to-head, including advice for non-technical founders. builder.io Article Claude Code vs Cursor: What to Choose Builder.io
  11. Covers the other big coding agent so you compare all three. builder.io Article Codex vs Claude Code: which is the better AI coding agent? Builder.io
  12. A long-term usage report rather than a launch-week hot take. thenewstack.io Article Claude Code vs. Cursor vs. Codex vs. Antigravity, six months in The New Stack
  13. The intermediate techniques that separate toy use from real product work. softcery.com Guide Agentic Coding with Claude Code and Cursor: Skills, Subagents, Hooks, MCP Softcery
  14. The no-code-founder end of the spectrum, mapped by its biggest player. lovable.dev Guide Best Vibe Coding Tools: Build Apps by Chatting Lovable
  15. Compares what these builders actually generate under the hood. techsy.io Article Lovable vs Bolt vs v0: What Your Code Looks Like Techsy
  16. An emerging-market reviewer's honest take on the big three app builders. techpoint.africa Article Lovable vs Bolt vs v0: my honest review Techpoint Africa
  17. Includes the security caveats (the Veracode findings) most guides skip. shareuhack.com Guide The Complete Vibe Coding Guide: How Non-Engineers Can Build Apps with AI Shareuhack
  18. A repeatable idea-to-deployed-MVP workflow with realistic timeboxes. vibecoding.app Guide Vibe Coder's Guide to Building a Shippable MVP in 4 Hours Vibecoding.app
  19. Honest answers on what coding agents still get wrong. simonw.substack.com Article Fireside chat about agentic engineering Simon Willison
  20. A dev-shop comparison grounded in client project work. f22labs.com Article Cursor Agent vs Claude Code: A Comparative Guide F22 Labs
  21. A VC's operating manual for going from wedge to platform in a vertical. bvp.com Guide Building Vertical AI: An early stage playbook for founders Bessemer Venture Partners
  22. The macro argument for why agents expand rather than shrink the market. a16z.com Article Good news: AI Will Eat Application Software a16z
  23. Where a16z partners saw agent openings across industries. a16z.com Article Big Ideas in Tech for 2025 a16z
  24. Puts the agent wave in the context of past platform shifts. stratechery.com Article An Interview with Bret Taylor About AI Agents and Tech History Lessons Stratechery (Ben Thompson)

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

Research & Knowledge

Marketing & Growth

Sales & Customers

Operations & Back-office

Strategy & The AI-Native Founder

Everyday AI

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