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. Vohra applies his famous product-market-fit engine to deciding which AI features earn their place. productschool.com Podcast Superhuman CEO on the 40% PMF Rule and AI-Native Productivity Product School (Rahul Vohra)
  2. Video Rahul Vohra on How AI Will Change the Way We Work (Upfront Summit) Upfront Ventures
  3. A top consumer investor answers the exact question, drawn from hundreds of a16z Speedrun applications. x.com Thread "Does my new startup idea need to have AI in it?" Andrew Chen (a16z)
  4. A data company's candid recap of which of its own AI features users adopted and why. amplitude.com Article What We Learned Building AI Products in 2025 Amplitude
  5. A case study of an incumbent rebuilding around one AI feature that customers demonstrably pay for. bvp.com Article How Intercom navigated the AI paradigm shift Bessemer Venture Partners
  6. The sharpest counterargument you will read; know the backlash before you ship an unwanted AI feature. honest-broker.com Article The Force-Feeding of AI on an Unwilling Public Ted Gioia (The Honest Broker)
  7. A respected discovery coach documents what surprised her when she actually built an AI product herself. producttalk.org Article Building My First AI Product: 6 Lessons from My 90-Day Deep Dive Teresa Torres (Product Talk)
  8. Video [1hr Talk] Intro to Large Language Models Andrej Karpathy
  9. Video Deep Dive into LLMs like ChatGPT Andrej Karpathy
  10. Video RAG Explained For Beginners KodeKloud
  11. Video Build and Deploy a RAG Chatbot with JavaScript, LangChain.js, Next.js freeCodeCamp (Ania Kubow)
  12. Free, thorough, and taught by the engineer who wrote much of LangChain's RAG tooling. freecodecamp.org Course Learn RAG from Scratch (Python tutorial from a LangChain engineer) freeCodeCamp (Lance Martin, LangChain)
  13. The follow-on course for when your prototype RAG needs to survive real users. freecodecamp.org Course Production RAG with LangChain and Vector Databases freeCodeCamp
  14. The primary source for letting the model trigger your app's actions, the step from chatbot to feature. developers.openai.com Guide Function calling (OpenAI API docs) OpenAI
  15. Guaranteed-JSON responses ended a whole class of parsing bugs; read this before writing a parser. openai.com Article Introducing Structured Outputs in the API OpenAI
  16. The most popular TypeScript toolkit for streaming AI features, with 25+ providers behind one API. github.com Tool Vercel AI SDK Vercel
  17. Free structured course covering prompting, extraction, streaming, and tool calls in real product code. vercel.com Course Builders Guide to the AI SDK Vercel Academy
  18. A production-ready open-source chatbot with auth and persistence; fork it instead of starting from zero. github.com Tool Vercel AI Chatbot template Vercel
  19. Six practitioners condense a year of production LLM scar tissue into tactical advice. oreilly.com Article What We Learned from a Year of Building with LLMs (Part I) Eugene Yan, Hamel Husain, Jason Liu, Shreya Shankar, et al.
  20. The whole LLM-product stack in one thread; a map of every decision you will eventually face. x.com Thread Patterns for LLM systems: evals, RAG, fine-tuning, caching, guardrails Eugene Yan (Anthropic)
  21. The most-read O'Reilly book of 2025; the reference text once you outgrow tutorials. oreilly.com Guide AI Engineering: Building Applications with Foundation Models Chip Huyen
  22. An India-based walkthrough from API key to working app, aimed at non-ML developers. analyticsvidhya.com Guide Build Your First LLM Application: A Beginner's Tutorial Analytics Vidhya
  23. The gentlest possible on-ramp if your team writes Python but has never called a model API. machinelearningmastery.com Guide Your First OpenAI API Project in Python, Step-By-Step Machine Learning Mastery
  24. A CPO livebuilds a real feature with AI tools, showing how fast the idea-to-ship loop has become. creatoreconomy.so Article From Idea to Product in 30 Min Using AI Agents | Claire Vo Peter Yang (Creator Economy) with Claire Vo

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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