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. Concrete, priced agent ideas you could start validating this week. x.com Thread 35 startup ideas to start in 2025 (SaaS, AI agents) Greg Isenberg
  2. A second batch of buildable agent wedges with revenue models attached. x.com Thread 30 startup ideas to build in 2025 (AI agents, SaaS, tools) Greg Isenberg
  3. A full teardown of how one vertical agent company reached $1.5B+. research.contrary.com Article Decagon Business Breakdown & Founding Story Contrary Research
  4. The competitive dynamics of the hottest vertical, told through two rivals. upstartsmedia.com Article Decagon, Sierra and the Race to Build Customer Support Agents Upstarts Media
  5. Proof that boring niches (dealership phone calls) make great agent businesses. techcrunch.com Article Toma's AI voice agents have taken off at car dealerships TechCrunch
  6. The voice-agent market map, a whole sub-category of vertical opportunity. a16z.com Article Hi, AI: Our Thesis on AI Voice Agents a16z
  7. The India-specific map of agentic startups, funding and open gaps. inc42.com Article How India's Tech Landscape Got an Agentic AI Makeover in 2025 Inc42
  8. The company that popularized charging per resolution explains its own model. sierra.ai Article Outcome-based pricing for AI agents Sierra (Bret Taylor's team)
  9. The diagnostic to run before you copy anyone's agent pricing. growthunhinged.com Article Your pricing is (probably) broken: here's how to fix it Kyle Poyar (Growth Unhinged)
  10. The quick summary thread before you commit 90 minutes. x.com Thread Lenny on Madhavan's pricing playbooks Lenny Rachitsky
  11. An India-founded billing leader's data on outcome and value models. chargebee.com Article Pricing AI for Distribution: How AI Companies Use Pricing to Grow Chargebee
  12. The structural argument: agents don't log in, so seats can't price them. mindstudio.ai Article SaaS Pricing Is Breaking: Why Per-Seat Models Don't Survive the AI Agent Era MindStudio
  13. How enterprise buyers expect to budget for agents, useful in negotiations. deloitte.com Article SaaS meets AI agents: transforming budgets and customer experience Deloitte
  14. What incumbents are doing to their pricing, so you can position against it. rsmus.com Article SaaS vendors must adjust pricing models as agentic AI transforms the industry RSM US
  15. Includes the practical bit others skip: define 'resolved' in the contract. softwareseni.com Article SaaS pricing is shifting from per-seat to usage and outcome SoftwareSeni
  16. The stat everyone quotes, with the integration story behind it. fortune.com Article MIT report: 95% of generative AI pilots at companies are failing Fortune
  17. Names the 'prompt doom loop' that kills adoption inside companies. salesforce.com Article Why 95% of AI Pilots Fail, and What the Other 5% Do Differently Salesforce
  18. An agent-builder's readthrough of the MIT NANDA findings. beam.ai Article 95% of Enterprise AI Pilots Are Failing: MIT Report Reveals Why Beam AI
  19. The testing-company view: winners treat agents as software, with rigor. tricentis.com Article Why 95% of AI pilots fail, and what it takes to scale in the agentic era Tricentis
  20. A concrete path from pilot purgatory to production. dataiku.com Article MIT Says 95% of GenAI Pilots Fail: How to Beat the Odds Dataiku
  21. Pattern-matches the survivors: workflow integration and adaptability. multimodal.dev Article Why AI Pilots Fail and How to Succeed Like the 5% Multimodal
  22. 1,340 practitioners on what blocks agents: quality first, latency second. langchain.com Article State of Agent Engineering LangChain
  23. The baseline survey to compare how fast the field is maturing. langchain.com Article LangChain State of AI Agents Report LangChain
  24. Top use cases and blockers in one thread. x.com Thread State of AI Agents: we surveyed 1300+ professionals LangChain

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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