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.

The AI map: which tool is for which job, as of 29 October 2026

Models and assistants AI assistants Frontier models Open-weight models Decision models

Building with AI Coding agents App builders Design and presentations Spreadsheets, data and internal tools

Agents and research Agents that do tasks for you AI browsers No-code automation with AI steps Research and search Meeting notes and everyday productivity

Making media Video generation Images Avatars and voice Music and audio Video editing

AI at work Prospecting and sales Marketing, ads and AI search Customer support agents Legal and contracts Finance and accounting Hiring and HR

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 provider-ordering advice from a data vendor that lives on find rates. findymail.com Guide Waterfall Enrichment: The Complete B2B Guide Findymail
  2. The structured lesson version with the full enrichment menu explained. university.clay.com Course Enriching People Data (Clay University lesson) Clay
  3. Teaches AI-agent enrichment for the data no database has, like niche firmographics. university.clay.com Course Enriching with Claygent (Clay University lesson) Clay
  4. A third-party breakdown of Clay's enrichment mechanics and credit economics. salesforge.ai Article Clay Enrichment: How does it work & how to build it? Salesforge
  5. Honest look at where Clay's enrichment shines and where alternatives are cheaper. databar.ai Article Clay Lead Enrichment: How It Works and What's Better Databar.ai
  6. Concrete provider-sequencing recipes with expected find-rate gains at each step. coldoutreachstack.com Guide Email Waterfall Enrichment Guide: Push Your Find Rate From 50% to 85%+ Cold Outreach Stack
  7. A hands-on review with real find-rate numbers rather than vendor claims. outreachark.com Article FullEnrich Review: Waterfall Enrichment That Actually Finds Contact Information Outreach Ark
  8. The plain-language version to share with a non-technical co-founder. cleverly.co Article What is Waterfall Enrichment and Why Every B2B Sales Team Needs It Cleverly
  9. Assesses the data quality of the database most founders start with. lagrowthmachine.com Article Apollo.io Review: Features, Pricing, Pros & Cons La Growth Machine
  10. An annual data snapshot of what reply rates and tactics look like right now. mailshake.com Article State of Cold Email (backed by data & results) Mailshake
  11. Millions of real emails analyzed to answer this exact question with data, not vibes. gong.io Article Does cold email even work any more? Here's what the data says Gong Labs
  12. Where the biggest sending platform thinks the channel goes next. instantly.ai Article Future of Cold Email: AI, Personalization & Automation Trends Shaping 2026-2027 Instantly.ai
  13. Large-sample benchmarks, including the surprising finding that founders reply most. belkins.io Article What are B2B Cold Email Response Rates? (Study) Belkins
  14. Platform-scale benchmark data to calibrate whether your campaign is broken or normal. instantly.ai Article Cold Email Response Rates: B2B Benchmarks Instantly.ai
  15. The warm-intro motion that increasingly carries the pipeline cold email used to. commsor.com Article 2025 Guide to Warm Introductions: Mixing Old Strategies with New Tech Commsor
  16. 1,305 GTM leaders on why outbound alone no longer hits targets. commsor.com Guide The Warm Intro Gap Report Commsor
  17. The steel-manned pessimist case, worth reading before you commit a quarter to outbound. medium.com Article Why Cold Outreach Is Failing in 2025 (And What to Do Instead) Letters on Growth (Medium)
  18. A balanced verdict separating dead tactics from the durable core of the channel. getboomerang.ai Article Death to Cold Outreach? The Honest Take Boomerang
  19. Existence proof that great campaigns still massively outperform, with the actual copy. tactics.30mpc.com Guide Steal the cold email campaign that gets 15%+ replies 30 Minutes to President's Club
  20. A single high-leverage finding: softening your CTA measurably lifts replies. growleads.io Article Interest-Based CTAs Beat Meeting Requests: 304K Email Study GrowLeads
  21. Marks the shift to running deep research directly over your own pipeline data. ir.hubspot.com Article HubSpot Launches First CRM Deep Research Connector With ChatGPT HubSpot
  22. Data-backed rules for the email that actually books the next meeting. gong.io Article Scientific Tips for Writing the Perfect Follow-Up Sales Email Gong Labs
  23. Short, measurable tweaks for follow-up sequences that AI can apply automatically. gong.io Guide 4 Data-Backed Ways to Increase Your Email Reply Rate Gong Labs
  24. A practical map of triggers, sequences, and scoring for automated follow-up. monday.com Article AI lead follow up: how to build a successful sales system monday.com

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

Vibe Coding 15 Databases & Internal Tools 11 AI Agents 15 Design & Prototyping 12 AI in Your Product 13

Research & Knowledge

Search & Research 13 Market Research 13 Data Analysis 13

Marketing & Growth

Content Creation 12 Video, Image & Audio 14 Getting Found in AI Search (AEO/GEO) 12 Ads & Performance Marketing 14 Social & Community 12

Sales & Customers

Sales Prospecting 13 Customer Support 6 CRM & Sales Calls 12

Operations & Back-office

Legal & Contracts 13 Finance & Accounting 3 Hiring & HR 3 Productivity 3 Workflows & Automation 3

Strategy & The AI-Native Founder

Fundraising 6 Prompting 3 Building Your AI Stack 3 AI as a Thinking Partner 4

Everyday AI

Choosing Your AI Assistant 8 Learning with AI 7 Working with AI Agents 7 Using AI Safely 8 AI in Indian Languages 7
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