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. Argues the case for RAG as the default middle path, with enterprise examples. k2view.com Article RAG vs fine-tuning vs prompt engineering: And the winner is... K2view
  2. 23 battle-tested design patterns for human-AI products, used by a quarter million builders. pair.withgoogle.com Guide People + AI Guidebook Google PAIR
  3. A living pattern library (templates, modes, references, workflows) with real product examples. shapeof.ai Guide The Shape of AI: UX Patterns for Artificial Intelligence Design Emily Campbell (The Shape of AI)
  4. How users start, steer, and stop AI that works on their behalf, from a design veteran. lukew.com Article Agent Management Interface Patterns Luke Wroblewski
  5. When to reveal the AI's reasoning and when it just adds noise. lukew.com Article Showing the Work of Agents in UI Luke Wroblewski
  6. Evidence-based case for embedded AI over chat, including GitHub Copilot's 96% same-day adoption. uxmatters.com Article First-Session Trust in AI Products: Why Code Editors Onboard Better Than Chatbots UXmatters
  7. Concrete trust numbers: confidence signals lift reliance 63%, consistency another 47%. parallelhq.com Article Designing AI Chatbots: UX Principles for User Trust Parallel
  8. How Anthropic's own design team works when the material being designed is a model. lennysnewsletter.com Podcast The design process is dead. Here's what's replacing it. | Jenny Wen Lenny's Podcast with Jenny Wen (Claude design lead)
  9. Names the anti-patterns (fake confidence, hidden AI, forced chat) so you avoid shipping them. buildmvpfast.com Article AI-First Product UX Patterns and Dark Patterns BuildMVPFast
  10. Designing AI features by prototyping against real models, not static mocks. lennysnewsletter.com Podcast How Notion's design team uses Claude Code to prototype How I AI with Brian Lovin (Notion)
  11. If you do build chat, this covers the table-stakes details users now expect. thefrontkit.com Article AI Chat UI Best Practices TheFrontKit
  12. A leading Indian design studio's practical chatbot patterns with examples. lollypop.design Article Chatbot UI UX Design Best Practices and Examples Lollypop Design (India)
  13. Includes citation UI patterns, the single most effective trust device for factual products. designpixil.com Article AI Chatbot UI Design: 8 Patterns That Build User Trust DesignPixil
  14. Exactly what to show in the 200ms-to-seconds gap before the first token arrives. uxpatterns.dev Guide AI Loading States Pattern UX Patterns for Developers
  15. Component-level guidance on skeletons, streaming text, and progress for AI waits. telerik.com Article Loading UI/UX Patterns for AI Applications Telerik (Progress)
  16. Amazon's open design system spec for gen-AI states; steal it wholesale. cloudscape.design Guide Generative AI loading states (Cloudscape Design System) AWS Cloudscape
  17. The engineering side of streaming UX: tokens on screen change perceived speed and trust. medium.com Article Streaming Responses: How to Build Snappy, Real-Time LLM UX Tanishk Soni
  18. A hands-on exercise applying the PAIR patterns to a product like yours. codelabs.developers.google.com Course Building Trusted AI Products with the PAIR Guidebook (codelab) Google
  19. The psychology of waiting, which AI products live or die by. pencilandpaper.io Article UX Design Patterns for Loading and Feedback Pencil and Paper
  20. The clearest playbook for escaping wrapper status: own the value chain of one vertical. nfx.com Article The AI Wrapper is Dead: 3 Approaches to Verticalization NFX
  21. The canonical essay: most startups start without moats and earn them over time. blog.eladgil.com Article Defensibility and Competition Elad Gil
  22. The five-minute thread version, perfect for a worried co-founder or investor meeting. x.com Thread Is the "wrapper on GPT" company defensible? (thread) Elad Gil
  23. Documents platform encroachment: OpenAI absorbed four wrapper categories in 18 months. forbes.com Article AI Wrappers Lack Defensibility: Why Barriers To Entry Matter Forbes Business Development Council
  24. Names the three real layers: data moat, behavioral moat, workflow moat. hatchworks.com Article AI Wrapper Product Strategy: Most Founders Get the Moat Wrong HatchWorks

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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