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.

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. The market context for why design hires got more strategic, not obsolete. forbes.com Article Why taste is Silicon Valley's new competitive moat Forbes (Josipa Majic)
  2. On why the designer-engineer-PM boundary is dissolving and what that means for your first hires. productschool.com Podcast Dylan Field on design, product, engineering: blurring the lines in the AI era Product School
  3. Survey-backed look at which early hires AI actually displaces (hint: not judgment roles). mercury.com Article How AI is influencing early roles at startups Mercury
  4. Investor guidance on sequencing hires when AI covers the early design work. hsgcap.com Article How to build your startup team in the age of AI HSG
  5. The skeptical rebuttal, useful before you overpay for 'taste' in a hire. medium.com Article Taste is the new moat, and that's the problem Ruiqi Zhou
  6. 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
  7. A full workflow that builds production discipline in from the first prompt. sitepoint.com Guide Production vibe coding workflow: from prompt to deploy SitePoint
  8. 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
  9. 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
  10. A sober framework for deciding rebuild versus harden. mindstudio.ai Article Is vibe coding good enough for production apps? MindStudio
  11. 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
  12. 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
  13. 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
  14. 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
  15. Security researchers show how trivially exposed vibe-coded backends get found. labs.cognisys.group Article Supabase leaks: what we found Cognisys Labs
  16. 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)
  17. YC's practical guidance on working with AI code you intend to keep. ycombinator.com Video How to get the most out of vibe coding Y Combinator
  18. 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
  19. The deploy-day specifics: environments, secrets, monitoring. tsvillain.medium.com Article Deploying vibe-coded applications: a production guide Tekeshwar Singh
  20. 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
  21. The fastest way to get task-based usability data on a clickable prototype. maze.co Tool Maze prototype testing Maze
  22. A neutral overview of where AI genuinely speeds up usability testing. figma.com Guide AI usability testing guide: modern workflow and tools Figma
  23. 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
  24. A research leader's founder-specific interview playbook, from Uber Eats and beyond. review.firstround.com Podcast The early user research playbook for founders (Jeanette Mellinger) First Round Review (In Depth)

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 20 Databases & Internal Tools 11 AI Agents 15 Design & Prototyping 14 AI in Your Product 15

Research & Knowledge

Search & Research 16 Market Research 13 Data Analysis 13

Marketing & Growth

Content Creation 14 Video, Image & Audio 27 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 5 Workflows & Automation 3

Strategy & The AI-Native Founder

Fundraising 6 Prompting 4 Building Your AI Stack 5 AI as a Thinking Partner 5

Everyday AI

Choosing Your AI Assistant 15 Learning with AI 8 Working with AI Agents 8 Using AI Safely 9 AI in Indian Languages 8 Quick Fixes for Files, Photos and Video 26 AI for Your Line of Work 12
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