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. Condenses Anthropic's build guidance into checklist form. maryammiradi.com Article Build AI Agents: 40 Key Lessons from Anthropic's Masterclass Maryam Miradi
  2. The full course repo covering smolagents, LlamaIndex and LangGraph side by side. github.com Tool Hugging Face Agents Course (GitHub) Hugging Face
  3. An India-based roundup of free certified learning paths per framework. analyticsvidhya.com Article 15 Free Courses on AI Agents with Certificates Analytics Vidhya
  4. A quick no-code vs code triage before you commit a weekend. easyclaw.com Article How to Build AI Agents: 5 Best Platforms EasyClaw
  5. Names the paradox every founder hits: cheaper tokens, bigger bills. navyaai.com Article AI Token Cost Over Time: Down 99.7%, Bills Up 3x NavyaAI
  6. Explains the quadratic context growth that quietly multiplies agent costs. leanopstech.com Article AI Agents Burn 50x More Tokens Than Chats LeanOps
  7. How large buyers model agent economics, useful when selling to them. ey.com Article Agentic AI Enterprise Token Cost EY
  8. Concrete per-task cost ranges from cheap chatbot turns to $5+ agent runs. cowork.ink Article AI Agent Cost: Token Economics & Optimization Guide Cowork
  9. Walks through the exact math of an agent whose unit economics collapse. medium.com Article Token Cost Trap: Why Your AI Agent's ROI Breaks at Scale Klaus Hofenbitzer
  10. One page comparing how each provider's caching discount actually works. prompthub.us Guide Prompt Caching with OpenAI, Anthropic, and Google Models PromptHub
  11. Estimate a task's cost across models before you commit to one. tokencalculator.ai Tool AI Token Calculator TokenCalculator
  12. Live per-model pricing so your cost model never goes stale. usagepricing.com Tool AI Token Pricing Tracker UsagePricing
  13. Shows 72% of production cost sits outside the model invoice. optimumpartners.com Article AI Token Costs: Why Enterprise AI Bills Keep Rising Optimum Partners
  14. A hands-on implementation guide with before-and-after cost numbers. digitalocean.com Guide Prompt Caching for Anthropic and OpenAI Models DigitalOcean
  15. Investors debate agent pricing and unit economics in plain language. open.spotify.com Podcast What Is an AI Agent? (pricing and economics discussion) a16z
  16. Saves you from the premature self-host-a-model cost trap. ml6.eu Article Why 'Cheaper Tokens' Isn't a Good Reason to Own Your LLMs ML6
  17. Why the price curve should keep falling, and what that means for your roadmap. weightythoughts.com Article AI's Plummeting Prices Are a Software Story, Not a Hardware One Weighty Thoughts
  18. The clearest official explanation of what an agent eval actually is. anthropic.com Guide Demystifying evals for AI agents Anthropic
  19. The philosophy behind the top-grossing evals course, free to read. hamelhusain.substack.com Article AI Evals For Engineers & Product Managers Hamel Husain
  20. Video Why AI evals are the hottest new skill for product builders Lenny's Podcast (Hamel Husain & Shreya Shankar)
  21. The 60-second version of why evals became the must-have skill. x.com Thread Lenny on evals: watch them build one live Lenny Rachitsky
  22. Written notes of the full workflow: error analysis to automated judges. aakashg.com Guide AI Evals Step-by-Step: Hamel & Shreya Masterclass Aakash Gupta
  23. Explains pass@k and why you must run agent tests many times. cameronrwolfe.substack.com Article Agent Evaluation: A Detailed Guide Cameron Wolfe
  24. Field lessons from teams that moved agents from demo to production. infoq.com Article Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned InfoQ

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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