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. A veteran analyst's balanced scorecard, useful before you trust it with your model. dataanalysis.substack.com Article Claude for Excel: What It Does Well and Where It Still Falls Short Olga Berezovsky (Data Analysis Journal)
  2. Google's own map of what Gemini can do inside Sheets, from charts to insights. workspace.google.com Guide Gemini in Google Sheets (official hub) Google Workspace
  3. The reference for =AI("prompt", range), the single most useful Sheets AI primitive. support.google.com Guide Use the AI function in Google Sheets Google
  4. The primary-source changelog on Gemini generating and filling data in Sheets. workspaceupdates.googleblog.com Article Generate data with Gemini in Google Sheets Google Workspace Updates
  5. Worked examples of categorizing and summarizing data in cells without add-ons. kdnuggets.com Article A Beginner's Guide to Mastering Gemini + Google Sheets KDnuggets
  6. An India-based data community's practical walkthrough with prompt examples. analyticsvidhya.com Article How to Use Gemini in Google Sheets Analytics Vidhya
  7. A quick, neutral capability matrix across the big three chat tools. geeksforgeeks.org Article ChatGPT vs Claude vs Gemini for Data Analysis: A Comparative Overview GeeksforGeeks
  8. Tests the models on actual marketing datasets rather than benchmarks. improvado.io Article Claude vs ChatGPT vs Gemini vs DeepSeek: Which AI Drives Faster Marketing Insights? Improvado
  9. Clarifies the chat-tool vs notebook-platform split so you don't overbuy. deepnote.com Article Hex vs Julius AI: a side-by-side comparison Deepnote
  10. Vendor-written but unusually candid about when plain ChatGPT is the right answer. julius.ai Article Julius AI vs ChatGPT: What's Better for Data Analysis and You? Julius AI
  11. A recent, detailed comparison including reasoning depth and hallucination tendencies. elephas.app Article ChatGPT vs Claude vs Gemini: A Comprehensive Data Analysis Elephas
  12. A builder's shortlist that cuts the market down to five real options. guptadeepak.com Article Top 5 AI Data Analysis Tools: Julius AI vs ChatGPT vs the Rest Deepak Gupta
  13. Shows what agentic analysis looks like when it has access to your warehouse, not just a CSV. hex.tech Article Introducing the Notebook Agent Hex
  14. Rare quantitative accuracy data comparing AI spreadsheets on identical tasks. rows.com Article Introducing the AI Spreadsheet Benchmark Rows
  15. A practitioner's field notes rather than a spec-sheet comparison. lightcapai.medium.com Article Claude vs ChatGPT vs Gemini (2025): A Comparative Analysis from the Trenches Faruk Alpay
  16. Frames the market as four lanes (chat, notebook, spreadsheet, warehouse) so you pick by workflow. buildmvpfast.com Article Best AI for Data Analysis: ChatGPT, Hex, Julius, Deepnote BuildMVPFast
  17. A small-business test across real tasks, closest to a founder's daily mix. thelittledesigngroup.com Article ChatGPT vs Gemini vs Claude: We Tested All 3 for Business The Little Design Group
  18. A week-long real-usage review from an emerging-market lens, not a sponsored skim. techpoint.africa Article I tested Julius AI for 7 days: here is my honest review Techpoint Africa
  19. Explains how schema-aware SQL generation actually works and its real accuracy numbers. builder.ai2sql.io Guide Text-to-SQL Complete Guide: Tools, Accuracy, Real Examples AI2SQL
  20. Covers the metadata-only options that never send your actual rows to the model. selectstar.com Article Best Text-to-SQL Tools for AI Analytics Select Star
  21. A database performance veteran connects Claude straight to Postgres, no code layer. kylehailey.com Article Natural Language Access to Postgres with Claude Desktop and MCP Kyle Hailey
  22. The security-first version: least-privilege roles and network isolation done right. tailscale.com Guide Securely connect Claude Code to Postgres via MCP Tailscale
  23. A step-by-step Docker setup an ops-minded founder can follow in an evening. opstree.com Guide The Ultimate Guide to Postgres MCP for Claude Desktop OpsTree
  24. The fastest no-code path if you just want to ask your database questions today. windsor.ai Guide How to Connect PostgreSQL to Claude in 1 Minute (No-Code MCP) Windsor.ai

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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