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 full stack of costs behind a token price, for founders selling AI products. introl.com Article Inference Unit Economics: The True Cost Per Million Tokens Introl In 2 answers
  2. Every question you will have about evals, answered by the field's top teacher. hamel.dev Article LLM Evals: Everything You Need to Know (FAQ) Hamel Husain In 2 answers
  3. The course that trained 2,000+ people, including teams at OpenAI and Anthropic. maven.com Course AI Evals For Engineers & PMs (Maven course) Hamel Husain & Shreya Shankar In 2 answers
  4. 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
  5. Video Harrison Chase on Deep Agents, LangSmith, and Earning Trust NVIDIA AI Podcast (Harrison Chase) In 2 answers
  6. Market sizing: services are 10x the software market, and agents tap them. bvp.com Article The State of AI 2025 Bessemer Venture Partners In 2 answers
  7. 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
  8. 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
  9. 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
  10. The investor-grade case for why agent pricing had to change. a16z.com Article AI Is Driving a Shift Towards Outcome-Based Pricing a16z In 2 answers
  11. Patterns from 60+ agent companies distilled into a usable framework. growthunhinged.com Article A new framework for AI agent pricing Kyle Poyar (Growth Unhinged) In 2 answers
  12. 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
  13. 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
  14. A catalogue of every live agent pricing model with examples. getmonetizely.com Guide The 2026 Guide to SaaS, AI, and Agentic Pricing Models Monetizely In 2 answers
  15. The billing-infrastructure view of metering agents without angering customers. flexprice.io Article Why AI Companies Have Adopted Usage-Based Pricing Flexprice In 2 answers
  16. A quick taxonomy to pick your starting model in an afternoon. pickaxe.co Article AI Agent Pricing Models Explained Pickaxe In 2 answers
  17. Kills the 'wait for GPT-next' excuse; harness engineering is the work. venturebeat.com Article LangChain's CEO: better models alone won't get your agent to production VentureBeat (Harrison Chase) In 2 answers
  18. 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
  19. The canonical guide: curation beats clever prompting for agents. anthropic.com Guide Effective context engineering for AI agents Anthropic In 2 answers
  20. The write, select, compress, isolate framework every team now uses. langchain.com Article Context Engineering for Agents LangChain In 2 answers
  21. 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
  22. Closes the loop: a prototype only pays off if you put it in front of users, and this shows how. maze.co Guide How to test and validate AI prototypes with users Maze In 2 answers
  23. What to prompt when the tool gets stuck in a loop of broken fixes. blog.techforproduct.com Article How to debug AI prototypes Colin Matthews (Tech for Product) In 2 answers
  24. The foundational YC lesson on extracting truth from user conversations. ycombinator.com Video How to talk to users Y Combinator 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 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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