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. The first 1,000 followers broken into a concrete daily routine. founderbrands.io Guide How to Grow From 0 to 1,000 X Followers Fast FounderBrands
  2. Levels' own notes on the conversation, straight from the source. levels.io Article Conversation on Startups, AI and Indie Hacking Pieter Levels
  3. Twenty-plus worked examples so you can pattern-match instead of guessing. ventureradar.gumroad.com Guide The Founder's Guide to Building in Public (With 20+ Real Examples) VentureRadar
  4. The AI tooling layer for keeping a build-in-public cadence without living on the platform. posteverywhere.ai Article 27 Best AI Tools for X (Twitter), Tested and Ranked PostEverywhere
  5. The official free course teaching the Find, Enrich, Transform, Export framework every Clay workflow is built on. university.clay.com Course Clay 101: GTM Automation (Clay University) Clay
  6. Understand the product's philosophy from the inside, which makes you a sharper user of it. review.firstround.com Article Clay's Path to Product-Market Fit: A 7-Year 'Overnight Success' First Round Review
  7. Data-driven reality check on the Clay-ops hype so you invest in workflows, not fashionable job titles. growthunhinged.com Article Do you need a GTM engineer? Kyle Poyar (Growth Unhinged)
  8. Hard data on what actually converts, the benchmark to judge whether your AI-built lists are any good. gong.io Article Analyzing Cold Email Statistics for Better Sales Engagement Gong Labs
  9. A repeatable process for personalizing fast, from the team that coached 50,000+ sellers on email. lavender.ai Guide How to Build a Cold Email Personalization Process Lavender
  10. Solves the hardest case, personalizing when the prospect has zero public footprint. lavender.ai Guide A Personalization Framework For When You Have No Info Lavender
  11. Teaches relevance-based fallbacks so your emails never open with forced flattery. lavender.ai Guide Nothing to Personalize With? Build Relevant Back Ups Lavender
  12. Every proven Lavender framework in one place, built for adapting rather than copy-pasting. lavender.ai Guide The Ultimate Compilation of Lavender Sales Email Frameworks Lavender
  13. The framework in Allred's own words, with the comment thread doubling as a live teardown. linkedin.com Thread Will Allred's cold email framework (LinkedIn post) Will Allred (Lavender co-founder)
  14. Proof that detached, curious outreach outperforms pushy pitching, with real examples. joshbraun.com Article How To Get A 35% Cold Email Response Rate Without Selling Your Soul Josh Braun
  15. Teardowns of generic outreach that read exactly like what AI produces on autopilot, and the fix. joshbraun.com Article Declaring War On Boring Cold Outreach Josh Braun
  16. Practical prompting patterns for AI-assisted emails that do not sound AI-written. copy.ai Guide AI-Powered Cold Emails: A Comprehensive Guide Copy.ai (now part of Fullcast)
  17. A current best-practices baseline before you layer any automation on top. copy.ai Guide 2025 Cold Email Guide Copy.ai (now part of Fullcast)
  18. The largest cold email dataset ever analyzed, showing what top 10% senders do differently. gong.io Guide How to Master Cold Email (based on 85 million emails) Gong
  19. The raw data report: 85M+ emails distilled into rules you can apply to tomorrow's send. tactics.30mpc.com Guide The Ultimate Cold Email Data Report (30MPC x Gong) 30 Minutes to President's Club + Gong
  20. Kills the guesswork on C-suite outreach with actual reply-rate data. gong.io Article Do execs really reply to cold email? Here's what the data says Gong Labs
  21. Straightforward, tool-agnostic guide on where AI helps in cold email and where humans must stay. hunter.io Guide How To Use AI For Cold Email (Guide) Hunter.io
  22. The single best written walkthrough of 0-to-1 sales, from someone who has coached 300+ founders through it. lennysnewsletter.com Article The ultimate guide to founder-led sales | Jen Abel Lenny Rachitsky with Jen Abel (JJELLYFISH)
  23. The whole founder-led sales framework compressed into one scannable thread. x.com Thread Lenny's thread: the ultimate guide to 0-to-1 sales Lenny Rachitsky
  24. Kazanjy literally wrote the book on this; here he compresses it into an actionable conversation. lennysnewsletter.com Article Founder-led sales | Pete Kazanjy (Founding Sales, Atrium) Lenny Rachitsky with Pete Kazanjy

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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