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 360 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. Video Model Context Protocol (MCP), Clearly Explained (Why it Matters) Builders Central
  2. The contrarian essay from the Devin team that reset the industry's defaults. cognition.com Article Don't Build Multi-Agents Walden Yan (Cognition)
  3. The thread version of the argument, with the mistakes he keeps seeing. x.com Thread Walden Yan: principles for building agents Walden Yan
  4. The honest update: some multi-agent setups now work, most sexy ideas still don't. x.com Thread Walden Yan: a year later, what changed Walden Yan
  5. The follow-up naming the specific multi-agent patterns that survived production. cognition.com Article Multi-Agents: What's Actually Working Cognition
  6. The other side of the debate: a 90% performance gain, at 15x the tokens. anthropic.com Article How we built our multi-agent research system Anthropic
  7. Anthropic's own decision rules for graduating beyond a single agent. claude.com Article When to use multi-agent systems (and when not to) Anthropic
  8. Shows why Cognition and Anthropic are both right about different problems. philschmid.de Article Single vs Multi-Agent System? Philipp Schmid (Google DeepMind)
  9. The architecture broken down with diagrams a non-researcher can follow. blog.bytebytego.com Article How Anthropic Built a Multi-Agent Research System ByteByteGo
  10. 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)
  11. The open dataset and annotator to diagnose your own multi-agent failures. github.com Tool MAST: Multi-Agent System Failure Taxonomy UC Berkeley Sky Computing Lab
  12. The digestible summary of where multi-agent systems break. sky.cs.berkeley.edu Article MAST project page UC Berkeley Sky Computing Lab
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. Video Andrej Karpathy: From Vibe Coding to Agentic Engineering Sequoia Capital (Karpathy, Stephanie Zhan)
  20. Where coding agents go next, from the person who built the category leader. lennysnewsletter.com Podcast Head of Claude Code: What happens after coding is solved | Boris Cherny Lenny's Podcast (Boris Cherny)
  21. The engineering story, including the 80-90% self-written stat. open.spotify.com Podcast Building Claude Code with Boris Cherny The Pragmatic Engineer (Gergely Orosz)
  22. YC's founder-angle interview: what agentic coding means for startups. ycombinator.com Video Inside Claude Code with its creator Boris Cherny Y Combinator
  23. A CEO describing non-technical teammates shipping via the terminal. x.com Thread Dan Shipper: Claude Code cracked something open for us Dan Shipper
  24. The clearest head-to-head, including advice for non-technical founders. builder.io Article Claude Code vs Cursor: What to Choose Builder.io

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 20 Databases & Internal Tools 11 AI Agents 15 Design & Prototyping 14 AI in Your Product 15

Research & Knowledge

Search & Research 16 Market Research 13 Data Analysis 13

Marketing & Growth

Content Creation 14 Video, Image & Audio 27 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 5 Workflows & Automation 3

Strategy & The AI-Native Founder

Fundraising 6 Prompting 4 Building Your AI Stack 5 AI as a Thinking Partner 5

Everyday AI

Choosing Your AI Assistant 15 Learning with AI 8 Working with AI Agents 8 Using AI Safely 9 AI in Indian Languages 8 Quick Fixes for Files, Photos and Video 26 AI for Your Line of Work 12
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