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 Claude Just Built a FULL Data Dashboard (No Coding Needed) Prof. Ryan Ahmed
  2. The self-hostable BI standard, now with Metabot AI writing and debugging queries. github.com Tool metabase/metabase: open source BI Metabase
  3. Honest about where a chatbot helps (planning, formulas) and where it cannot run your analytics. graphed.com Article How to Create a KPI Dashboard with ChatGPT Graphed
  4. The no-code route when your metrics already live in a sheet the team maintains. glideapps.com Tool Build a KPI Tracking Dashboard With AI Glide
  5. Covers persistence and data-refresh limits so you know what Artifacts can carry. eigent.ai Article Claude Live Artifacts: Persistent AI Workspace Guide Eigent
  6. Video I Built a Complete Dashboard in 3 Minutes with Claude AI (No Code) Unity Coding
  7. OpenAI's guide to what an agent is (model, tools, instructions), when one is worth building, and the guardrails it needs. cdn.openai.com Guide A practical guide to building agents (PDF) OpenAI
  8. Video What's next for AI agentic workflows Sequoia Capital / Andrew Ng
  9. The thread that made agentic the word of the year, with the reasoning attached. x.com Thread Andrew Ng: agentic workflows will drive massive AI progress Andrew Ng
  10. Explains the shift from chat to action: AI stops being something you ask and starts doing. podcasts.apple.com Podcast Big Ideas 2026: The Agentic Interface a16z
  11. Lemkin explains why agents, not email automation, changed SaaStr's economics. therevenueleadershippodcast.com Podcast Replacing Your Sales Team with AI Agents The Revenue Leadership Podcast (Jason Lemkin)
  12. Hard numbers: 20 agents managed by 1.2 humans doing what 10 salespeople did. qualified.com Article The AI Agent Revolution: How SaaStr Scaled from 0 to 20 AI Agents Qualified
  13. A crisp practitioner comparison with real ROI numbers for each category. lindy.ai Article AI Agents vs. Chatbots in 2026: What's the Difference? Lindy
  14. The clearest three-way split of the categories founders keep conflating. aitency.com Article AI Agents vs. AI Chatbots vs. AI Automation Aitency
  15. Decision criteria for picking chatbot or agent based on your actual use case. businessofapps.com Article Chatbot vs. AI agent: how to make the right choice Business of Apps
  16. Shows exactly where if-then automation stops and agent reasoning starts. clickup.com Article What Makes Lindy Agentic AI Different From Zapier or n8n? ClickUp
  17. A founder-audience walkthrough of where agents beat tickets-and-macros setups. dancumberlandlabs.com Guide AI Agents for Business: A Guide for Founders Dan Cumberland Labs
  18. Written by a chatbot company admitting where chatbots lose to agents. wotnot.io Article AI Agent vs. Chatbot: which is better? WotNot
  19. Covers the RPA angle: why scripted bots break where agents adapt. aezion.com Article AI Agents vs Bots: Key Differences and Use Cases Aezion
  20. 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)
  21. What actually happens to the work after you automate everything: more judgment, not less. every.to Article After Automation Dan Shipper (Every)
  22. The counterintuitive follow-up: full agent adoption grew the team instead of shrinking it. every.to Podcast We automated everything with AI and tripled our headcount Every
  23. A holding-company CEO's unfiltered list of what he actually delegates to AI. podcastnotes.org Podcast I run a $180M+ company, here's how I use AI daily | Andrew Wilkinson My First Million (Andrew Wilkinson)
  24. A bootstrapped founder's framework for deciding which tasks to hand an agent first. forbes.com Article What AI Agents Can Teach Busy Leaders About Delegation Aytekin Tank (Jotform founder)

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

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Building & Product

Research & Knowledge

Marketing & Growth

Sales & Customers

Operations & Back-office

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