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 most engineering-credible checklist for hardening an AI-built app. stack.convex.dev Guide 6 steps before taking your vibe-coded app to production Convex
  2. A full workflow that builds production discipline in from the first prompt. sitepoint.com Guide Production vibe coding workflow: from prompt to deploy SitePoint
  3. Draws the prototype-versus-production line precisely, then walks the gap. vibengineer.io Article Vibe coded prototype to production: how to harden the demo Vibengineer
  4. A time-boxed two-week plan if you need a launch date, not a philosophy. appstuck.com Guide Vibe coded to production: the 14-day playbook AppStuck
  5. A sober framework for deciding rebuild versus harden. mindstudio.ai Article Is vibe coding good enough for production apps? MindStudio
  6. First-party account of the year vibe-coded apps leaked data, and the safer defaults that followed. supabase.com Article Supabase security retro: 2025 Supabase
  7. The cautionary tale every Lovable and Bolt builder should read before launch. byteiota.com Article Supabase security flaw: 170+ apps exposed by missing RLS byteiota
  8. A checklist mapped to the exact mistakes AI-generated backends make. vibeappscanner.com Guide Supabase security: RLS, service_role and the CVE-2025-48757 patterns Vibe App Scanner
  9. Why giving your AI agent production database access is its own attack surface. pomerium.com Article When AI has root: lessons from the Supabase MCP data leak Pomerium
  10. Security researchers show how trivially exposed vibe-coded backends get found. labs.cognisys.group Article Supabase leaks: what we found Cognisys Labs
  11. A self-audit you can run on your own app in an afternoon. dev.to Article Supabase security: the hidden dangers of RLS and how to audit your API Fabio (DEV)
  12. Builds the structured habits (PRD, specs, checkpoints) that make production transition survivable. lennysnewsletter.com Guide The complete beginner's guide to coding with AI: from PRD to first lines of code Lenny's Newsletter
  13. The deploy-day specifics: environments, secrets, monitoring. tsvillain.medium.com Article Deploying vibe-coded applications: a production guide Tekeshwar Singh
  14. Lovable-specific hardening path, useful if that is your stack. logic-square.com Article How to turn a Lovable prototype into a production system Logic Square
  15. A neutral overview of where AI genuinely speeds up usability testing. figma.com Guide AI usability testing guide: modern workflow and tools Figma
  16. Turns 'send the link around' into a structured test with real findings in about an hour. reforge.com Article How to get structured user feedback on your AI prototypes Reforge
  17. Mobile-specific prototype testing tactics, useful for app founders. usertesting.com Article How to get rapid user feedback on your mobile app prototype UserTesting
  18. Peer-reviewed-grade caution on what simulated users systematically miss. interactions.acm.org Article The challenges of synthetic users in UX research ACM Interactions
  19. Quantitative comparisons of synthetic versus human responses across studies. measuringu.com Article A review of experiments with synthetic users MeasuringU (Jeff Sauro)
  20. A balanced practitioner summary if you only read one pros-and-cons piece. medium.com Article AI synthetic users for UX testing: pros and cons guide Hashbyt
  21. Head-to-head of the three main AI research platforms, including message testing. genesysgrowth.com Article UserTesting AI vs Maze AI vs Wynter: a complete guide Genesys Growth
  22. A current tool landscape so you pick by need, not brand recall. uxarmy.com Article Top AI tools for usability testing UXArmy
  23. A researcher's hands-on trial of synthetic interviews with honest results. carolinaguimaraeslima.medium.com Article Synthetic users: the next revolution in UX research? Carolina Guimarães
  24. The evergreen craft of prototype testing: watch, don't instruct. ixdf.org Article Test your prototypes: how to gather feedback and maximize learning Interaction Design Foundation

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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