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.

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. Video I Ranked Every AI App Builder for 2026: Lovable vs Bolt vs Replit vs Cursor Build Great Products In 2 answers
  2. Written for founders making a business decision, not developers comparing specs. altar.io Article Lovable vs Bolt vs v0 vs Replit Agent vs Base44: A Founder's Comparison Altar.io In 2 answers
  3. A designer-operator's decision tree for which tool fits which internal job. annaarteeva.medium.com Article Choosing your AI prototyping stack: Lovable, v0, Bolt, Replit, Cursor compared Anna Arteeva In 2 answers
  4. Covers the v0 angle most comparisons skip: generating UI for a stack you already have. uibakery.io Article v0 vs Bolt vs Replit: AI Builders Compared UI Bakery In 2 answers
  5. Benchmarks the same prompt across builders with timing and code-quality notes. digitalapplied.com Article AI App Builders: v0 vs Lovable vs Bolt vs Replit Digital Applied In 2 answers
  6. The most-starred open-source text-to-SQL framework; MIT-licensed and works with any LLM including local ones. github.com Tool vanna-ai/vanna: Chat with your SQL database Vanna.AI In 2 answers
  7. A database-tooling company's sober shortlist of what actually generates runnable SQL. bytebase.com Article Top 5 Text-to-SQL Query Tools Bytebase In 2 answers
  8. Explains how schema introspection lets Claude reason about your data model, not just guess. pgedge.com Article Introducing the pgEdge Postgres MCP Server pgEdge In 2 answers
  9. Video Build AI Agents with n8n: Complete Beginner's Automation Course JavaScript Mastery In 2 answers
  10. The community's favourite structured n8n course, from a former Goldman BI analyst. classcentral.com Course n8n Masterclass: Build AI Agents and Automate Workflows (Beginner to Pro) Nate Herk In 2 answers
  11. A PM's exact prompts for turning raw data into a dashboard stakeholders actually open. medium.com Article How To Build Interactive Dashboards With Claude Like An AI Product Manager Ian Khor In 2 answers
  12. Connecting real data feeds to Claude-built dashboards, with worked examples. blog.coupler.io Guide Claude.ai Artifacts for Live Analytics Dashboards Coupler.io In 2 answers
  13. Video Claude Code + Streamlit = Insane Data Analyst Lore So What In 2 answers
  14. Video AI Agents, Clearly Explained Jeff Su In 2 answers
  15. IBM's plain-language guide to how agents plan, use tools and remember, with business examples. ibm.com Guide AI agents IBM In 2 answers
  16. 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
  17. 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
  18. Reported stories of one-person companies plus an honest look at the limits. fortune.com Article Solo founders are using AI to do the work of entire teams Fortune In 2 answers
  19. 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
  20. OpenAI's orchestration patterns apply whichever stack you choose. openai.com Guide A Practical Guide to Building Agents OpenAI In 2 answers
  21. 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
  22. The single chart that explains why what is unaffordable today is cheap next year. a16z.com Article Welcome to LLMflation: LLM inference cost is going down fast a16z (Guido Appenzeller) In 2 answers
  23. The headline numbers in thread form for a two-minute read. x.com Thread LLMflation: 10x cheaper per year a16z In 2 answers
  24. Why KV-cache hit rate is the one production metric that decides agent margins. manus.im Article Context Engineering for AI Agents: Lessons from Building Manus Yichao 'Peak' Ji (Manus) 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

Research & Knowledge

Marketing & Growth

Sales & Customers

Operations & Back-office

Strategy & The AI-Native Founder

Everyday AI

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