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.

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. How AI moderation removes the depth-versus-scale trade-off in discovery. listenlabs.ai Article How to Scale User Interviews to Large Panels Listen Labs
  2. A full founder reference for discovery interviews with AI assistance woven in. userintuition.ai Guide Customer Discovery Interviews: The Founder Guide User Intuition
  3. Actual empirical studies measuring how far AI-simulated behaviour diverges from real users. nngroup.com Article Evaluating AI-Simulated Behavior: Insights from Three Studies on Digital Twins and Synthetic Users Nielsen Norman Group
  4. The sharpest critique: synthetic research borrows the authority of science without its standards. interactions.acm.org Article The Synthetic Persona Fallacy: How AI-Generated Research Undermines UX Research ACM Interactions
  5. The industry-adoption view, including where synthetic data already works in production research. forbes.com Article The Promising Rise Of Synthetic Personas In Market Research Forbes Tech Council
  6. Clean side-by-side of researched personas versus AI-generated ones. ixdf.org Article Are AI-Generated Synthetic Users Replacing Personas? What UX Designers Need to Know Interaction Design Foundation
  7. An enterprise consultancy's measured take on synthetic consumer research. cognizant.com Article The Rise of Synthetic Users: Are AI-Generated Personas The Future of Consumer Research? Cognizant
  8. The insights industry's own debate about synthetic respondents, from inside the profession. quirks.com Article The future of synthetic respondents in the insights industry Quirk's
  9. A promise-versus-reality scorecard for synthetic responses in SaaS research. developmentcorporate.com Article Synthetic Responses in Market Research: Promise vs. Reality Development Corporate
  10. Covers the methodology questions a survey platform has to answer before using synthetic data. idsurvey.com Article Synthetic Data and Synthetic Personas in Market Research IdSurvey
  11. Useful distinction between simulating a persona and pretending it is research. urbinaconsulting.com Article Synthetic users vs persona simulations Urbina Consulting
  12. The bull case from a startup building AI-persona research, worth reading critically. blog.atypica.ai Article Market Research Is Being Rewritten: Why AI Personas Are the Next Core Capability Atypica
  13. Concrete examples of synthetic-audience research workflows in practice. deepsona.ai Article How Synthetic Audiences Are Transforming Market Research Through AI Personas Deepsona
  14. A hands-on build of a synthetic persona interviewer, showing exactly what these systems can and cannot do. towardsdatascience.com Article From Ad-Hoc Prompting to Repeatable AI Workflows with Claude Code Skills (synthetic persona interviews) Towards Data Science
  15. A tight five-step thread: collect where the market talks, use AI to find repeated pain, act on it. x.com Thread The AI version of market research as a service Corey Ganim
  16. Explains the community-signal thesis behind the most popular idea-mining product. linkedin.com Thread I'm launching ideabrowser.com (launch post) Greg Isenberg
  17. The written companion with the exact prompts and Gumloop automation steps. blog.alexanderfyoung.com Article How I use Reddit and AI to find winning startup ideas (written version) Dr Alex Young
  18. A practical low-code version using Gumloop, n8n, or Zapier to feed comments into an LLM. medium.com Article How to Use Reddit and AI to Find Startup Ideas That Actually Work Andiebuk (Medium)
  19. The G2 mining method: tag complaints into themes, count repeats, build against the gaps. bigideasdb.com Guide How to Analyze G2 Reviews to Find Product Ideas Your Competitors Miss BigIdeasDB
  20. Turns competitor review pain into a concrete feature-gap roadmap. bigideasdb.com Guide How to Turn G2 Reviews Into SaaS Ideas (Feature-Gap Method) BigIdeasDB
  21. Explains which review source is high-signal for what: app stores for usability, G2 for B2B friction. cobbai.com Article Customer Review Mining with AI: Unlocking Insights from App Stores, Marketplaces & Forums Cobbai
  22. Tool shortlist for ingesting reviews across G2, app stores, and support channels at scale. enterpret.com Guide The 7 Best AI Tools to Analyze Customer Feedback Enterpret
  23. GummySearch's shutdown reshaped Reddit research tooling; this maps what replaced it. reddinbox.com Article GummySearch is Gone: The Best Alternatives Reddinbox
  24. A second opinion on the post-GummySearch toolscape, including pay-per-analysis options. reddily.io Article 7 Best GummySearch Alternatives (After Shutdown) Reddily

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 15 Databases & Internal Tools 11 AI Agents 15 Design & Prototyping 12 AI in Your Product 13

Research & Knowledge

Search & Research 13 Market Research 13 Data Analysis 13

Marketing & Growth

Content Creation 12 Video, Image & Audio 14 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 3 Workflows & Automation 3

Strategy & The AI-Native Founder

Fundraising 6 Prompting 3 Building Your AI Stack 3 AI as a Thinking Partner 4

Everyday AI

Choosing Your AI Assistant 8 Learning with AI 7 Working with AI Agents 7 Using AI Safely 8 AI in Indian Languages 7
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