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.

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. Task-by-task guidance on which research jobs AI does well and which it fumbles. liveplan.com Guide How to Use AI for Market Research LivePlan
  2. A broad use-case catalogue to spark workflows you had not considered. clickup.com Guide How to Use AI for Market Research (Use Cases & Tools) ClickUp
  3. A compact startup-first overview of the free-tier stack. thinkup.global Article How to Use AI for Startup Market Research ThinkUp
  4. Real founders naming the tools they actually kept paying for. hypepotamus.com Article AI Tools Startup Founders Say They Can't Live Without (And Why) Hypepotamus
  5. A professional researcher validates the free tool at the centre of a lean stack. cascadeinsights.com Article A Market Researcher's Review: NotebookLM Cascade Insights
  6. Concrete NotebookLM research workflows: sources in, grounded cross-document answers out. stormy.ai Guide How to Use Google NotebookLM for Market Research and Competitive Intelligence Stormy AI
  7. Power-user NotebookLM patterns beyond the obvious upload-and-summarise. socialmediaexaminer.com Article Advanced NotebookLM Use Cases You Can Apply Today Social Media Examiner
  8. Fast tour of ten NotebookLM workflows, several research-specific. theaibreak.substack.com Guide Tutorial: 10 NotebookLM Use Cases That Will 10x Your Productivity The AI Break
  9. A data professional's balanced take, with a video tutorial and example prompts. analythical.com Article 4 Ways You Can Use ChatGPT for Market Research Analythical (Stephen Tracy)
  10. The Wharton professor's original field report on why an AI that writes its own code beats memorizing formulas. oneusefulthing.org Article What AI can do with a toolbox: Getting started with Code Interpreter Ethan Mollick
  11. Shows AI restructuring messy PDF data and running models unprompted, the exact grunt work founders dread. x.com Thread Ethan Mollick on Code Interpreter's statistical common sense Ethan Mollick
  12. Mollick's line that things that took weeks in his PhD were done in seconds, with fewer errors than a human analyst. fortune.com Article Code Interpreter might be the most useful application of AI so far Fortune
  13. Video How AI Completely Reshaped This Data Analyst's Job (Luke Barousse) Ken's Nearest Neighbors Podcast
  14. Two practitioners compare the tasks worth delegating to AI versus the ones worth learning yourself. creators.spotify.com Podcast How We Use AI as Data Analysts (Data Career Podcast ep 76) Data Career Podcast with Luke Barousse
  15. The balanced case for how much SQL a non-analyst actually needs now that AI writes queries. mavenanalytics.io Article Do You Still Need to Learn SQL in the Age of AI? Maven Analytics
  16. A veteran SQL author argues the skill shifts from writing queries to judging them. sqlpatterns.com Article Should you still learn SQL (in the age of LLMs)? Ergest Xheblati (Data Wise)
  17. The counter-argument: why a thin layer of SQL literacy still compounds even with AI on top. learnsql.com Article SQL in 2025: What's New and Why It Still Matters LearnSQL.com
  18. A clean mental model for stacking AI on top of traditional tools instead of choosing between them. blog.datawithbaraa.com Article Excel vs Power BI vs SQL vs Python vs AI Data With Baraa
  19. Video AI Was Supposed to Replace Data Analyst Jobs. Here's What Actually Happened Kedeisha Bryan
  20. A founder who built a BI company explains why most companies over-invest in data tooling. changelog.com Podcast What even is the modern data stack, featuring Benn Stancil The Changelog
  21. The sharpest industry writer on what AI actually changes about the analyst's craft. benn.substack.com Article Analytics is at a crossroads Benn Stancil
  22. OpenAI's own free walkthrough, including the framing prompt 'I'm trying to decide X, based on Y'. openai.com Guide Analyzing data with ChatGPT (OpenAI Academy) OpenAI
  23. The pandas creator and a BI founder debate what survives of data work after LLMs. wesmckinney.com Podcast Everything's a Fad (Including This Podcast), with Benn Stancil (The Test Set) Wes McKinney and Benn Stancil
  24. An ex-Meta data scientist's compact framework for when AI beats doing the analysis by hand. classcentral.com Video Data Analysis With AI in 21 Minutes Tina Huang

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 20 Databases & Internal Tools 11 AI Agents 15 Design & Prototyping 14 AI in Your Product 15

Research & Knowledge

Search & Research 16 Market Research 13 Data Analysis 13

Marketing & Growth

Content Creation 14 Video, Image & Audio 27 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 5 Workflows & Automation 3

Strategy & The AI-Native Founder

Fundraising 6 Prompting 4 Building Your AI Stack 5 AI as a Thinking Partner 5

Everyday AI

Choosing Your AI Assistant 15 Learning with AI 8 Working with AI Agents 8 Using AI Safely 9 AI in Indian Languages 8 Quick Fixes for Files, Photos and Video 26 AI for Your Line of Work 12
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