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. Levels' own notes on the conversation, straight from the source. levels.io Article Conversation on Startups, AI and Indie Hacking Pieter Levels
  2. 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
  3. 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
  4. 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
  5. Video Clay 101 | Lesson 4: Enrich Companies Using Waterfalls Clay
  6. Video Eric Nowoslawski: Full outbound stack overview for 2026 Eric Nowoslawski (Growth Engine X)
  7. Video Leveraging AI in Outbound Sales - Eric Nowoslawski Eric Nowoslawski (Growth Engine X)
  8. Video Eric Nowoslawski from Growth Engine X: Clay & AI Powered Cold Email Eric Nowoslawski (Growth Engine X)
  9. 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
  10. Clay's CEO on founder psychology and why prospecting became the first big AI-native sales workflow. review.firstround.com Podcast Clay's path to product-market-fit | Kareem Amin (First Round podcast) First Round Review
  11. The clearest articulation of where AI-driven GTM is heading, from the person building the category leader. sequoiacap.com Podcast Clay's Kareem Amin on Building the Sales 'System of Action' with AI Sequoia Capital (Training Data)
  12. A deep, recent conversation on Clay's worldview that doubles as a masterclass in creative GTM thinking. open.spotify.com Podcast Kareem Amin: The Unusual Approach to Company Building (Invest Like the Best) Patrick O'Shaughnessy (Invest Like the Best)
  13. Focused specifically on AI-powered outreach, the exact use case this question asks about. podcasts.apple.com Podcast Clay CEO Kareem Amin on AI-powered outreach for growth Unusual Ventures (Startup Field Guide)
  14. Video Apollo.io AI Tutorial: Build Lead Lists & Personalized Cold Emails at Scale Independent GTM creator (YouTube)
  15. Video Is Apollo.io the ONLY lead gen tool you need in 2025? Independent GTM creator (YouTube)
  16. 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)
  17. 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
  18. 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
  19. 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
  20. Teaches relevance-based fallbacks so your emails never open with forced flattery. lavender.ai Guide Nothing to Personalize With? Build Relevant Back Ups Lavender
  21. 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
  22. 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)
  23. Video How to Personalize at Scale Becc Holland (Flip the Script)
  24. Video How to Build an Outbound Sequence with Personalization (ft. Becc Holland) Becc Holland (Flip the Script)

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

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