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.

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. Practical tactics for keeping your build tool inside a bootstrapper's budget. siteground.com Guide Claude Code pricing in 2026: what changed and how to keep building affordably SiteGround Academy
  2. Total-cost-of-ownership math for replacing per-seat SaaS with built software. belitsoft.com Article Enterprise Vibe Coding vs SaaS Belitsoft
  3. Documents the collapse from $50k-$250k MVPs to under $5k in tooling and tokens. ideas2it.com Guide Custom Software Development: The Build vs. Buy Guide Ideas2IT
  4. Adds the security-cost line item most build-vs-buy spreadsheets forget. cyberunit.com Article Vibe Coding and the SaaS Shakeup: What Business Leaders Need to Know Cyber Unit
  5. How teams keep agentic coding spend visible once several people are building. mavvrik.ai Article Claude Code Cost Management: Attribution, Allocation and Optimization Mavvrik
  6. Community-tested moves that cut token bills 40-85% without slowing you down. buildthisnow.com Guide Cut Claude Code Token Costs Build This Now
  7. A current cost comparison of custom AI tools against branded SaaS pricing. digitalapplied.com Article Build vs Buy: The Case for Custom AI Tools Digital Applied
  8. Concrete budget bands ($500 to $5,000, 2 to 8 weeks) for a functional build. serenitiesai.com Guide How to Build a SaaS with Vibe Coding (Step-by-Step Guide) Serenities AI
  9. Once you build, AI tooling becomes its own SaaS line item; this is how to watch it. toriihq.com Article 8 Spend Management Tools for Claude Code Torii
  10. What changed: dashboards that stay live and share privately inside your org. venturebeat.com Article Anthropic's Claude Code Artifacts update brings live, shared dashboards VentureBeat
  11. The official announcement of session-to-shareable-dashboard in one step. claude.com Article Claude Code now supports artifacts Anthropic
  12. The reference for actually shipping a live dashboard from a Claude Code session. code.claude.com Guide Share session output as artifacts (docs) Anthropic
  13. Months of hard-won lessons from maintaining two Claude-built dashboards, condensed into one file. gist.github.com Guide Build a custom personal dashboard with Claude Code (opinionated guide) Eleanor Konik
  14. A complete worked example, from raw logs to a dashboard quantifying 613 hours saved. kevinjmagnan.com Article Claude Pilled: How to Build a Dashboard from Your Claude Code Usage Data Kevin J. Magnan
  15. 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
  16. Covers persistence and data-refresh limits so you know what Artifacts can carry. eigent.ai Article Claude Live Artifacts: Persistent AI Workspace Guide Eigent
  17. The expanded companion to Anthropic's canonical essay, packaged for non-engineers. resources.anthropic.com Guide Building Effective AI Agents (resource hub) Anthropic
  18. OpenAI's own plain-English playbook on what an agent is and when you need one. cdn.openai.com Guide A Practical Guide to Building Agents (PDF) OpenAI
  19. Ng translates agent theory into a business argument a founder can repeat to investors. insightpartners.com Article Andrew Ng: Why Agentic AI Is the Smart Bet Insight Partners
  20. The original technical essay that defined agent = LLM + planning + memory + tools. lilianweng.github.io Article LLM Powered Autonomous Agents Lilian Weng (OpenAI)
  21. The whole concept compressed into one famous equation you will never forget. x.com Thread Agent = LLM + memory + planning + tool use Lilian Weng
  22. A neutral, constantly updated reference point when vendor definitions start to blur. en.wikipedia.org Article AI agent (Wikipedia) Wikipedia
  23. A curated viewing path if you want to go from zero to fluent in a weekend. medium.com Article 8 Videos You Need to Understand AI Agents Javin Paul
  24. 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

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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