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.

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. A blunt business-lens review that saves you from trusting the wrong tool for client-facing work. sectionai.com Article We tested two Deep Research tools. One was unusable. Section (AI business school)
  2. For technical founders: wire deep research into your own product or internal tools. developers.openai.com Guide Introduction to deep research in the OpenAI API (Cookbook) OpenAI
  3. OpenAI's own research on why models bluff: training rewards guessing over admitting uncertainty. openai.com Article Why language models hallucinate OpenAI
  4. Video Why Large Language Models Hallucinate Martin Keen, IBM Technology
  5. Video OpenAI Explains: Why Language Models Hallucinate & How to Reduce Them YouTube AI explainer
  6. 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
  7. Video How to Fact-Check ChatGPT and Other AI Tools YouTube tutorial
  8. The story behind the hallucination tracker and what patterns keep repeating. forbes.com Article Attorneys: Track AI Hallucination Cases With This New Tool Lars Daniel, Forbes
  9. The largest study of AI answer accuracy: 3,000 responses, 18 countries, sobering numbers. ebu.ch Article AI assistants misrepresent news content 45% of the time (EBU/BBC study) EBU / BBC
  10. A readable summary of which assistants failed worst and on what. journalism.co.uk Article Nearly half of AI-generated answers contain an error (EBU-BBC report) Journalism.co.uk
  11. A master practitioner reframes the real risk: errors that look plausible and are never checked. simonw.substack.com Article Hallucinations in code are the least dangerous form of LLM mistakes Simon Willison
  12. Shows the fix is process discipline, not abandoning the tools; directly transferable to founders. thomsonreuters.com Article GenAI hallucinations are still pervasive in legal filings, but better lawyering is the cure Thomson Reuters Institute
  13. Librarians teach lateral reading, the single most useful verification technique. guides.library.vcu.edu Guide How to Fact Check Generative AI Virginia Commonwealth University Libraries
  14. Explains why models invent perfectly formatted citations to papers that never existed. citely.ai Article ChatGPT Gave You References? Here's How to Check If They're Real Citely
  15. A running tally of what unverified AI output costs professionals in the real world. gc.ai Article AI Hallucination Legal Cases: A Sanctions Tracker GC AI
  16. Categorizes why people got caught (time pressure, lack of training), a mirror for your own habits. naturalandartificiallaw.com Tool AI Hallucination Cases Tracker (international) Natural & Artificial Law
  17. A consultancy-grade playbook on prompting and retrieval patterns that reduce fabrication. devoteam.com Guide Understanding and Correcting AI Hallucinations: The 2025 Guide Devoteam
  18. Video ChatGPT, Claude, Gemini, Grok, Perplexity: Which One Is Actually Worth It? Tristan Ahumada
  19. The free reference 3M+ people learned from, covering zero-shot to ReAct with examples. promptingguide.ai Guide Prompt Engineering Guide (promptingguide.ai) DAIR.AI
  20. The underlying repo with papers, notebooks and lessons for going deeper. github.com Tool dair-ai/Prompt-Engineering-Guide (GitHub) DAIR.AI
  21. A self-paced course version if you prefer structure over docs. academy.dair.ai Course Introduction to Prompt Engineering (DAIR Academy) DAIR.AI
  22. Google's persona-task-context-format formula with role-specific examples; effective prompts average 21 words. services.google.com Guide Gemini for Google Workspace Prompting Guide (handbook) Google
  23. The interactive version of the handbook, organised by job and use case. workspace.google.com Guide Google Workspace with Gemini Prompt Guide Google Workspace
  24. A two-minute read of prompting basics to share with non-technical teammates. support.google.com Guide Tips to write prompts for Gemini Google

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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