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. Time-to-deploy benchmarks: a landing page in 1-2 hours from a standing start. superapp.dev Article Lovable vs Replit: Complete 2025 Comparison for Non-Technical Founders Superapp
  2. The roadmap view so you can time your entry to the features you need. adventuremedia.ai Article 9 ChatGPT Ads Features Launching Later in 2026 (And Why They Matter) AdVenture Media
  3. Side-by-side of the two AI ad experiments and what each signals. adventuremedia.ai Article ChatGPT Ads vs Perplexity Ads: AI Search Advertising Comparison AdVenture Media
  4. An operator-run publication's take on where AppLovin fits a DTC mix. web.archive.org Article AppLovin: From Apps to Ecomm Carts PostPilot
  5. Explains AdCP, the MCP-based protocol letting buying agents interoperate. apostra.com Article What Is Agent-to-Agent Media Buying? Scope3
  6. From an Indian AI music startup: why LinkedIn video gets 5x engagement and how to feed it. web.archive.org Guide LinkedIn Video Marketing: An Ultimate Guide for Content Creators Beatoven.ai
  7. Full setup-to-scale guide including AutoMod's matured spam controls. web.archive.org Guide How to Build and Manage Discord Communities LKI Consulting
  8. For a custom bot: how to build a support agent on Claude with your own knowledge base. platform.claude.com Guide Customer support agent (Claude use-case guide) Anthropic
  9. Breaks down what actually counts as a billable resolution, including assumed resolutions and handoff charges. gleap.ai Article Intercom Fin AI Pricing Explained: Evaluating $0.99 Per Resolution Gleap
  10. Startup-sized guidance on when to force escalation rather than let the bot keep trying. gleap.ai Guide AI Support Human Handover Best Practices: Why Human Escalation Still Matters Gleap
  11. Connects prep to the post-call loop so each meeting makes the next one smarter. demodesk.ai Article ChatGPT for sales: transcribing and analyzing sales audio Demodesk
  12. A pragmatic implementation sequence: start simple, add ML only when data justifies it. web.archive.org Guide AI lead scoring guide Involve Digital
  13. Shows AI extracting MEDDIC fields from calls so deal health scores itself. demodesk.ai Guide Automated deal scoring with AI-powered MEDDIC Demodesk
  14. The caveat everyone skips: 40-60% of controls still need humans and process. truvocyber.com Article SOC 2 Automation with Vanta, Drata, and Others: What the Platform Won't Do for You Truvo
  15. The core playbook: AI for market benchmarks, fallback clauses, and counterparty prediction. spellbook.com Guide How to Use AI in Contract Negotiation: Best Practices Spellbook
  16. A concrete workflow for using Claude or ChatGPT to generate your data-room index, summaries, and financial narrative, honest... web.archive.org Guide How to Run an Investor Data Room with AI Starch
  17. OpenAI's own prompting guidance for its current models, at an address that moves with each new one. developers.openai.com Guide Using GPT-6: prompt guidance OpenAI
  18. How a project keeps its own instructions and files, so a handbook loaded once answers every new hire's questions. help.openai.com Guide Projects in ChatGPT OpenAI Help Center
  19. Lovable's own usage data on who builds software now: 80% in non-technical roles, with India among the largest paying markets. lovable.dev Article A first look at the build economy Lovable
  20. A company that built a new product line in one weekend and took it to paying customers, told step by step. lovable.dev Article How Nursa built a new product in 48 hours and changed how its entire company ships software Lovable
  21. Replit's launch of Cloud Agents: a non-engineer describes a change, the agent tests it and opens a pull request, and an... blog.replit.com Article Anyone can now bring their ideas into the company codebase Replit
  22. How to write your conventions down once as a skill so you stop repeating the same context in every prompt. lovable.dev Guide Turn repeated instructions into reusable skills in Lovable Lovable
  23. What the automatic scan checks before you publish (missing RLS, exposed data, authorisation gaps) and when to run the deeper... lovable.dev Article How Lovable protects your apps automatically Lovable
  24. Explains why reading your code is not enough and how a test that attacks the running app finds the open doors, with real examples. blog.replit.com Article Black-box pen tests on Replit Replit

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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