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. The fresh-chat, root-cause method that breaks the loop. scalemyvibe.dev Guide How to debug a vibe coded app without making it worse Scale My Vibe Code
  2. Explains the four technical reasons behind the regression loop. rockingtech.co.uk Article Why your vibe-coded app keeps breaking every time you fix something Rocking Tech
  3. A systematic triage process for AI-written code. mobisoftinfotech.com Guide Fixing bugs in vibe-coded apps: AI-generated codebases guide Mobisoft Infotech
  4. Blank screens, CORS, broken auth: the exact fixes. appstuck.com Guide Lovable troubleshooting guide: fix the 10 most common errors AppStuck
  5. A searchable encyclopedia of failure modes with fixes. rapidevelopers.com Guide Lovable issues: fix 97+ common bugs and errors RapidDev
  6. Where errors actually live: preview, console, and cloud logs. rapidevelopers.com Guide Read error logs in Lovable RapidDev
  7. What to do when the app will not even build. rapidevelopers.com Guide Understanding and resolving build failures in Lovable RapidDev
  8. A calm, ordered procedure for non-coders facing red text. iterates.be Guide Step-by-step guide to correcting code errors on Lovable Iterates
  9. Fast diagnosis flowcharts from an agency that fixes these daily. lowcode.agency Guide Lovable app not working? Troubleshooting tips LowCode Agency
  10. Recovery options for the scariest failure: mid-project corruption. analysedigital.com Article Internal errors and broken logs: when Lovable fails mid-project Analyse Digital
  11. Prompt patterns that make the AI debug itself effectively. sidetool.co Article Debugging AI-generated code with Lovable: essential tips Sidetool
  12. Troubleshooting prompts that work across Lovable, Bolt, and v0. prompthub.us Guide How to vibe code with no-code tools: prompting tips and how to troubleshoot PromptHub
  13. Why the last stretch is debugging, and how experts approach it. zed.dev Article AI's 70% problem (with Addy Osmani) Zed + Addy Osmani
  14. Context resets, project rules, and session hygiene in one page. roadmap.sh Guide Vibe coding best practices: how to get consistent results roadmap.sh
  15. A veteran teacher demonstrates debugging an AI-built app on screen. laracasts.com Course Vibe Debugging (Vibe Coding Workshop, episode 9) Laracasts
  16. Exactly what burns credits, with per-action examples. docs.lovable.dev Guide Credits and usage (Lovable docs) Lovable
  17. Explains the second usage-based billing layer that surprises founders. eesel.ai Article A complete guide to Lovable pricing: plans, credits, and hidden costs eesel AI
  18. A competitor's candid teardown of real feature-level costs. emergent.sh Article Lovable pricing: what the plan fee doesn't tell you Emergent
  19. Cost-intelligence firm's data, including $13/day enterprise averages. cloudzero.com Article Claude Code pricing: plans, token costs, and what it actually costs CloudZero
  20. Official levers for keeping agent sessions cheap. code.claude.com Guide Manage costs effectively (Claude Code docs) Anthropic
  21. Worked examples of which tier fits which usage pattern. findskill.ai Article Claude Code plans: $20 vs $100 vs $200, real math FindSkill
  22. Side-by-side plan economics of the two heavyweight tools. usagebar.com Article Claude Code vs Cursor: pricing comparison for developers Usagebar
  23. What the $200 tiers actually buy, and who needs them. spectrumailab.com Article Claude Code vs Cursor: Ultra vs Max pricing and limits Spectrum AI Lab
  24. The whole market's pricing on one page. developersdigest.tech Article AI coding tools pricing comparison Developers Digest

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

eChai Partner Brands The partnership →