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. Excel-specific walkthrough with copy-ready prompts for common messes. thebricks.com Guide How to Clean Excel Data with ChatGPT Bricks
  2. A short operator-focused workflow you can hand to anyone on your team. ai-academy.com Article Transform messy spreadsheets into clean data AI Academy
  3. The clearest framework for when a startup actually needs a data person and what kind. abartholomew.com Article Your First Data Hire Andrew Bartholomew
  4. A veteran data leader's trigger: questions decision-makers want that no one can answer cheaply. linkedin.com Article When Should a Start-Up Hire Its First Data Analyst? Peter Fishman
  5. A sober summary of the evidence, free of both hype and job-market panic. coursera.org Article Will AI Replace Data Analysts? Coursera
  6. A head-to-head framing that clarifies what you'd actually be hiring for. medium.com Article Data Analyst vs AI Agent: Who Wins the Job in 2026? Analyst Uttam
  7. A neutral academic-career view on how the role is shifting, not vanishing. career.uml.edu Article Will data analysts be replaced by AI? UMass Lowell Career Center
  8. The macro evidence that AI is deferring early specialist hires, including data. fi.co Article How Solo Founders Are Building Unicorns With AI Tools Founder Institute
  9. Why analysis tooling keeps collapsing into the same job, and what that means for hiring. benn.substack.com Article No, really, everything becomes BI Benn Stancil
  10. The post that started the debate, still the strongest steelman for delaying the hire. linkedin.com Thread Ethan Mollick: Code Interpreter can do basically anything a data analyst does Ethan Mollick
  11. An Indian edtech's view of how the analyst role is being redefined, not removed. pwskills.com Article Will AI Replace Data Analysts? A Deep Dive Into the Future of Data Careers PW Skills
  12. The advanced sequel for when a term sheet makes DCF suddenly relevant. sidsaladi.substack.com Guide The Complete AI Financial Modeling Playbook: DCF, M&A, and 60 Claude Prompts Sid Saladi
  13. The modeling-training institution benchmarks AI tools on real modeling tasks. wallstreetprep.com Article Ranking the Best AI Tools for Financial Modeling Wall Street Prep
  14. Compares the big three specifically on forecasting, with accuracy caveats. corporatefinanceinstitute.com Article Sales Forecasting with AI: How ChatGPT, Claude, and Gemini Compare Corporate Finance Institute
  15. A business-planning company's step-by-step for first-time forecasters. liveplan.com Guide How to Use ChatGPT to Create a Financial Forecast for Your Business LivePlan
  16. A documented case of Claude Projects halving three-statement model build time. albusi.com Article Our Claude Test: How AI Financial Modeling Shocked Us Albusi
  17. A packaged Claude skill purpose-built for startup financial planning. mcpmarket.com Guide Startup Financial Modeling Claude Code Skill MCP Market
  18. An India-based finance training firm's honest capability assessment. thewallstreetschool.com Article Can ChatGPT Do Financial Modeling? The WallStreet School
  19. The pre-Series A stack: Causal or Sheets for the model, AI for stress-testing the thinking. startupfortune.com Article AI Financial Modeling for Startups Is the CFO Alternative That Actually Works Startup Fortune
  20. A worked example with the actual prompts and outputs shown. medium.com Article How to Use ChatGPT to Create a Financial Forecast: Example & Guide Selma Khayal
  21. Break the model into revenue build, schedules, and working capital, one prompt each. thebricks.com Guide How to Build a Financial Model with ChatGPT Bricks
  22. A pro SaaS writer names the exact AI tells and how to edit them out. kaleighmoore.com Article Why Your AI Content Sounds Like AI (+ How to Fix That) Kaleigh Moore
  23. The canonical argument for why founders who still write will out-think everyone else. paulgraham.com Article Writes and Write-Nots Paul Graham
  24. Real data showing AI-assisted posts got 22% more engagement, with honest caveats. buffer.com Article Data: Engagement Rate of 1.2 Million AI-Assisted Posts vs. Human-Only Buffer

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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