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

  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. One page on capabilities and supported inputs, useful before committing to a tool. gemini.google Guide Gemini Deep Research overview Google
  2. A widely shared operator thread: use a strong model to write your deep research prompt first. x.com Thread How I'm using Deep Research (prompting walkthrough) BuccoCapital Bloke
  3. A fill-in-the-blanks system that reliably turns vague questions into report-grade briefs. ahmadosman.com Guide My Ultimate DeepResearch Prompt Builder Template Ahmad Osman
  4. A startup operator runs the same $5M ARR brief through both tools and shows the raw outputs. gregisenberg.com Article ChatGPT vs Perplexity Deep Research: business ideas test Greg Isenberg
  5. A prompting-focused comparison that shows how brief quality changes the winner. newsletter.learnprompting.org Article Deep Research: ChatGPT vs. Gemini. Who wins? Learn Prompting
  6. A clear practitioner explainer of the five-step pipeline behind the reports. gend.co Article ChatGPT Deep Research: How It Works and When to Use It Gend
  7. 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)
  8. 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
  9. OpenAI's own research on why models bluff: training rewards guessing over admitting uncertainty. openai.com Article Why language models hallucinate OpenAI
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. A consultancy-grade playbook on prompting and retrieval patterns that reduce fabrication. devoteam.com Guide Understanding and Correcting AI Hallucinations: The 2025 Guide Devoteam
  19. The most maintained hands-on comparison across all the major assistants. zapier.com Article The best AI chatbots in 2026 Zapier
  20. A task-by-task breakdown of the two tools founders most often pay for. zapier.com Article Claude vs. ChatGPT: Which is best? Zapier
  21. Quickly maps which alternative wins for research, writing, coding and search. zapier.com Article The 4 best ChatGPT alternatives in 2026 Zapier
  22. An honest single-reviewer verdict with real reports you can read yourself. androidauthority.com Article Gemini's vs ChatGPT's Deep Research: For me, the choice is clear Android Authority
  23. Puts speed, depth and citation quality of each research agent on one page. felloai.com Article AI Search and Deep Research Tools Compared 2026 Fello AI
  24. A concise practitioner thread comparing the four research agents on one task. x.com Thread Deep Research comparison thread (ChatGPT vs Perplexity vs Gemini vs Grok) mBaileyz

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 15 Databases & Internal Tools 11 AI Agents 15 Design & Prototyping 12 AI in Your Product 13

Research & Knowledge

Search & Research 13 Market Research 13 Data Analysis 13

Marketing & Growth

Content Creation 12 Video, Image & Audio 14 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 3 Workflows & Automation 3

Strategy & The AI-Native Founder

Fundraising 6 Prompting 3 Building Your AI Stack 3 AI as a Thinking Partner 4

Everyday AI

Choosing Your AI Assistant 8 Learning with AI 7 Working with AI Agents 7 Using AI Safely 8 AI in Indian Languages 7
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