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
- 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
- 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
- 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
- 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
- 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
What founders use most, ranked by how many answers lean on it.
- 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)
- The digestible summary of where multi-agent systems break. sky.cs.berkeley.edu Article MAST project page UC Berkeley Sky Computing Lab
- 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
- 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
- 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
- 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
- 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
- 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
- A CEO describing non-technical teammates shipping via the terminal. x.com Thread Dan Shipper: Claude Code cracked something open for us Dan Shipper
- The clearest head-to-head, including advice for non-technical founders. builder.io Article Claude Code vs Cursor: What to Choose Builder.io
- 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
- 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
- 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
- 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
- Compares what these builders actually generate under the hood. techsy.io Article Lovable vs Bolt vs v0: What Your Code Looks Like Techsy
- 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
- 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
- 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
- Honest answers on what coding agents still get wrong. simonw.substack.com Article Fireside chat about agentic engineering Simon Willison
- A dev-shop comparison grounded in client project work. f22labs.com Article Cursor Agent vs Claude Code: A Comparative Guide F22 Labs
- 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
- The macro argument for why agents expand rather than shrink the market. a16z.com Article Good news: AI Will Eat Application Software a16z
- Where a16z partners saw agent openings across industries. a16z.com Article Big Ideas in Tech for 2025 a16z
- 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)
Playbooks
A goal, and the route through it a step at a time.