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. The developer-facing detail on what is stored, for how long, and how to reduce it. developers.openai.com Guide Data controls in the OpenAI platform OpenAI
  2. The policy to quote when a customer asks whether their data trains the model. openai.com Guide How your data is used to improve model performance OpenAI
  3. Anthropic's own account of what its API keeps: your prompts and Claude's outputs are not retained by default, with zero data... platform.claude.com Guide API and data retention (Claude docs) Anthropic
  4. Where to pull compliance artifacts when an enterprise customer sends a security questionnaire. anthropic.com Guide Anthropic's Transparency Hub Anthropic
  5. The ten security risks unique to LLM apps, with prompt injection at number one. aembit.io Article OWASP Top 10 for LLM Applications, explained Aembit
  6. Concrete examples of each attack and the layered defences OWASP recommends. oligo.security Guide OWASP Top 10 LLM: Examples and Mitigation Strategies Oligo Security
  7. A practitioner's walkthrough of how injections actually happen in RAG and agent apps. paulmduvall.com Article Deep Dive into OWASP LLM Top 10 and Prompt Injection Paul Duvall
  8. One of India's top tech law firms translating DPDP obligations for AI builders specifically. ikigailaw.com Guide DPDP Handbook for AI Developers Ikigai Law (India)
  9. The 2025 final rules applied to AI products, including the significant data fiduciary trap. protecto.ai Article How To Comply With Final DPDP Rules For Agentic AI Protecto
  10. A global law firm's view for founders serving both Indian and international customers. reedsmith.com Article India in focus: Data protection and AI in India Reed Smith
  11. Covers the hard problem: deleting a user whose data is baked into model weights. khuranaandkhurana.com Article AI Training Data under India's DPDP Regime Khurana and Khurana (India)
  12. An independent plain-English summary to cross-check the official policies. meetily.ai Article OpenAI Data Retention Policy: Does OpenAI Train on Your API Data? Meetily
  13. Compares training and retention defaults across providers in one table. spartner.software Article LLM and data privacy: are they training on your data? Spartner
  14. The fast version of the OWASP list for a founder who needs the gist today. mend.io Article OWASP Top 10 for LLM Applications: A Quick Guide Mend.io
  15. The most complete framework for choosing between seat, usage, and outcome models. bvp.com Guide The AI pricing and monetization playbook Bessemer Venture Partners
  16. Real pricing pages of 40 AI startups decoded; pattern-match instead of guessing. growthunhinged.com Article The state of AI pricing at 40 leading startups Kyle Poyar (Growth Unhinged)
  17. The trend data: 2 in 5 software companies now run hybrid subscription-plus-credits pricing. growthunhinged.com Article What's changing with AI monetization Kyle Poyar (Growth Unhinged)
  18. Proof that nobody's pricing is final: 3.6 changes per company among the top 500. substack.com Thread 1,800 pricing changes in 2025 Kyle Poyar
  19. Walks each pricing model with named examples and when each fits. getmonetizely.com Article How to Price AI Services: Models, Examples, and Strategy Monetizely
  20. The margin argument for charging on results instead of marking up tokens. hirefraction.com Article AI Is Killing SaaS Margins. Outcome-Based Pricing Is How You Get Them Back. Fraction
  21. A reframe that changes pricing decisions: treat compute as growth investment, not just COGS. saastr.com Article Inference is the New Sales and Marketing Spend SaaStr
  22. What happens to margins if you keep SaaS pricing on AI costs, with the numbers. saasmag.com Article The AI COGS Problem: SaaS Gross Margin Compression SaaS Mag
  23. The single best ongoing feed to follow as AI pricing norms keep shifting. growthunhinged.com Guide Growth Unhinged: pricing archive Kyle Poyar
  24. A jargon-free primer on what you should be recording and why. langfuse.com Article What is LLM Observability and Monitoring? Langfuse

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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