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. Weekly operator demos of AI workflows, including the Amplitude internal-data episode. podcasts.apple.com Podcast How I AI with Claire Vo Claire Vo In 4 answers
  2. A candid founder-to-founder chat on making outcome pricing actually work. cheekypint.substack.com Podcast Bret Taylor on AI agents, outcome-based pricing, and the OpenAI board Cheeky Pint (Stripe) In 3 answers
  3. The single best tactical hour on AEO, with the 6x conversion data point. podcasts.apple.com Podcast The ultimate guide to AEO: How to get ChatGPT to recommend your product (Ethan Smith, Graphite) Lenny's Podcast In 3 answers
  4. Concrete picture of what elite AI-assisted marketing actually looks like. podcasts.apple.com Podcast This Is How the Top 1% Marketers Are Using AI Marketing Against The Grain In 3 answers
  5. Lovable's CEO explains exactly who the tool is built for. lennysnewsletter.com Podcast Building Lovable: $10M ARR in 60 days | Anton Osika Lenny's Podcast In 2 answers
  6. Replit's CEO on the all-in-one build, host, and learn platform. lennysnewsletter.com Podcast Behind the product: Replit | Amjad Masad Lenny's Podcast In 2 answers
  7. The founding engineers' own prompting and planning habits. every.to Podcast How to use Claude Code like the people who built it Every (Dan Shipper with Anthropic engineers) In 2 answers
  8. Lays out the six behaviors that separate a real agent from an ordinary AI tool. lennysnewsletter.com Podcast Make product management fun again with AI agents Lenny's Podcast (Hamza Farooq, Jaya Rajwani) In 2 answers
  9. A concrete before-and-after of chatbots vs agents in the function founders know best. a16z.com Podcast Can AI Agents Finally Fix Customer Support? a16z In 2 answers
  10. A 15-person company running on agents across writing, code, support and consulting. lennysnewsletter.com Podcast The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper Lenny's Podcast (Dan Shipper) In 2 answers
  11. What support agents can genuinely resolve today, from the founder building them. open.spotify.com Podcast How AI Agents Are Transforming Customer Support, with Decagon's Jesse Zhang No Priors In 2 answers
  12. The person who started the framework wars explains what orchestration is for. sequoiacap.com Podcast LangChain's Harrison Chase on Building the Orchestration Layer for AI Agents Sequoia Training Data In 2 answers
  13. The same masterclass in podcast form for the commute. open.spotify.com Podcast Why AI evals are the hottest new skill (audio) Lenny's Podcast In 2 answers
  14. Sierra's founder on agents as the new front door for every brand. sierra.ai Podcast No Priors Ep. 82: Bret Taylor on company-branded agents No Priors (Bret Taylor) In 2 answers
  15. Why enterprise software's future belongs to vertical agents, per its loudest champion. pigment.com Podcast Vertical AI Agents | Bret Taylor on Perspectives Pigment Perspectives (Bret Taylor) In 2 answers
  16. The unvarnished go-to-market grind behind a vertical agent startup. upstartsmedia.com Podcast Jesse Zhang on sales battles, AI wrapper revenge, and making agents work Upstarts Media (Jesse Zhang) In 2 answers
  17. Why 95% of AI startups get pricing wrong, from the field's leading advisor. lennysnewsletter.com Podcast Pricing and scaling your AI product | Madhavan Ramanujam Lenny's Podcast (Madhavan Ramanujam) In 2 answers
  18. The evidence that base-plus-usage hybrids outperform pure models. revenuecreator.com Podcast Why hybrid pricing already won the AI era Revenue Creator (Kyle Poyar) In 2 answers
  19. A founder who beat the failure rate explains what enterprise-grade actually took. podcasts.apple.com Podcast How Decagon Built Human-Level AI Support | Ashwin Sreenivas Startup Project (Ashwin Sreenivas) In 2 answers
  20. Why context, not model size, unlocks agents that work for hours. sequoiacap.com Podcast Context Engineering Long-Horizon Agents | Harrison Chase Sequoia Training Data (Harrison Chase) In 2 answers
  21. Notion rebuilt its agent architecture five times; hear what finally worked at 100M-user scale. latent.space Podcast Notion's Token Town: 5 Rebuilds, 100+ Tools Latent Space with Simon Last and Sarah Sachs (Notion) In 2 answers
  22. Poyar talks through the reasoning behind the data, listenable on a commute. schematichq.com Podcast Kyle Poyar: The State of AI Pricing (Monetizing AI) Schematic (Monetizing AI) In 2 answers
  23. The mechanics of authority-building from LinkedIn's #1 female creator. podcast.creatorscience.com Podcast Lara Acosta: How LinkedIn's Fastest-Growing Female Creator Built Her Brand Creator Science (Jay Clouse) In 2 answers
  24. The company that gave every seller a product-photo studio explains the leverage shift firsthand. creators.spotify.com Podcast Matthieu Rouif: How Photoroom Creates a Standout AI Product Generative Now (Lightspeed) In 2 answers

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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