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. The official guide to training an agent with rules and data access across your apps. zapier.com Guide Zapier Agents: Combine AI agents with automation Zapier In 3 answers
  2. Analyst-grade research reports on demand, the delegation most founders start with. openai.com Article Introducing deep research OpenAI In 3 answers
  3. The single most important security idea for anyone deploying agents. simonwillison.net Article The lethal trifecta for AI agents Simon Willison In 3 answers
  4. The episode that defined the category thesis; 300 potential billion-dollar companies. ycombinator.com Video Vertical AI Agents Could Be 10X Bigger Than SaaS Y Combinator Lightcone (Garry Tan, Jared Friedman, Harj Taggar, Diana Hu) In 3 answers
  5. Real price points: $2/conversation, $0.99/resolution, per-task AI SDRs. substack.com Thread The most disruptive AI pricing models so far Kyle Poyar In 3 answers
  6. A candid founder-to-founder chat on making outcome pricing actually work. cheekypint.substack.com Podcast Bret Taylor on AI agents, outcome-based pricing, and the OpenAI board Cheeky Pint (Stripe) In 3 answers
  7. Video Lovable AI tutorial for beginners: build your first app YouTube educator In 3 answers
  8. The free-tier option: near report quality in under 3 minutes, ideal for bootstrapped founders. perplexity.ai Article Introducing Perplexity Deep Research Perplexity In 3 answers
  9. A founder-level walkthrough from question to structured, cited market report. validatemysaas.com Guide How to Use ChatGPT's Deep Research for Market Research Validate My SaaS In 3 answers
  10. A competitive-intelligence vendor is candid about where ChatGPT fails at CI. klue.com Article How to Do Competitive Analysis with ChatGPT (And When to Avoid Using It) Klue In 3 answers
  11. Video Learn 80% of NotebookLM in Under 13 Minutes! Jeff Su In 3 answers
  12. The straight answer from Anthropic, including how to toggle training off. privacy.claude.com Guide Is my data used for model training? Anthropic In 3 answers
  13. Concrete picture of what elite AI-assisted marketing actually looks like. podcasts.apple.com Podcast This Is How the Top 1% Marketers Are Using AI Marketing Against The Grain In 3 answers
  14. Voice injection means swapping generic claims for things only you could say. foundera.co Article Founder Voice in the AI Era: Don't Sound Like AI Foundera In 3 answers
  15. The default tool for turning one long video into 10-20 ranked short clips. opus.pro Tool OpusClip OpusClip In 3 answers
  16. Video The Founder Who Automated Content Creation Using AI (Varun Mayya) Bad Decisions Podcast In 3 answers
  17. Your literal voice: clone it for narration once your written voice is dialed. elevenlabs.io Tool ElevenLabs Voice Cloning ElevenLabs In 3 answers
  18. The clipping workflow: one 30-minute video into 10-20 ranked shorts. opus.pro Guide How to Turn Long-Form Videos into YouTube Shorts at Scale OpusClip In 3 answers
  19. The written breakdown of his 60M-views-a-month avatar pipeline. sigmastory.in Article How AI Creator Varun Mayya Has Automated Video Making Using Digital Avatars SigmaStory In 3 answers
  20. The report that settled it: prompts alone do not create ownership. copyright.gov Guide Copyright and AI, Part 2: Copyrightability (Full Report) US Copyright Office In 3 answers
  21. Video How to Make the Most Realistic AI Videos (Step-by-Step Tutorial) Marketing Against The Grain (Kipp Bodnar & Kieran Flanagan) In 3 answers
  22. Google confirms no special files or markup are required, which saves you from snake oil. developers.google.com Guide AI Features and Your Website (official docs) Google Search Central In 3 answers
  23. Battle-tested prompts covering the full arc from ICP research to first-touch drafting. blog.hubspot.com Article ChatGPT for sales prospecting: 10 prompts from research to outreach HubSpot In 3 answers
  24. Anthropic's starting page for prompting, ordered from the most to the least effective techniques. platform.claude.com Guide Prompt engineering overview (Claude docs) Anthropic In 3 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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