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 follow-along tutorial that gets tracing live in your app quickly. towardsdatascience.com Guide LLM Monitoring and Observability: Hands-on with Langfuse Towards Data Science
  2. A current comparison so you choose once instead of migrating later. confident-ai.com Article Top 7 LLM Observability Tools Confident AI
  3. Explains traces, spans, and generations with the main tools side by side. langflow.org Article LLM Observability Explained (Langfuse, LangSmith, LangWatch) Langflow
  4. The operations chapter: daily habits of teams that keep LLM features healthy in production. oreilly.com Article What We Learned from a Year of Building with LLMs (Part II): Operations Eugene Yan, Hamel Husain, et al.
  5. A menu of AI-specific metrics beyond DAUs, from acceptance rate to cost per active user. mixpanel.com Article 30+ AI product metrics to track today Mixpanel
  6. Includes the killer diagnostic: compare AI-user retention curves against your product baseline. institutepm.com Guide AI Product Metrics That Actually Matter Institute of Product Management
  7. Connects AI feature metrics to the board-level numbers investors ask about. thesaasbarometer.substack.com Article AI Metrics that Matter in 2025 SaaS Barometer
  8. A setup-to-dashboards walkthrough for self-hosting the free stack. prismix.dev Guide Langfuse Guide: Open-Source LLM Observability and Tracing Prismix
  9. An India-based engineering firm's field guide to the metrics and tooling that matter. cloudraft.io Article LLM Observability: Monitoring Large Language Models CloudRaft (India)
  10. Monitoring and optimization together, from an India-founded AI quality platform. getmaxim.ai Article How to Reduce LLM Cost and Latency: A Practical Guide for Production AI Maxim AI (India)
  11. Updated adoption frameworks that treat AI feature usage as its own funnel. userpilot.com Article How to Measure Product Adoption: Metrics for Human Users and AI Agents Userpilot
  12. Useful for B2B founders whose buyers now ask for AI usage reporting. capably.ai Article Measuring AI Adoption Metrics Capably
  13. Why accuracy alone is a vanity metric and what to track instead. stackai.com Article Measuring Enterprise AI Success: Essential KPIs Beyond Accuracy StackAI
  14. The Wharton professor's definitive framing of the shift from searching for links to delegating research. oneusefulthing.org Article The End of Search, The Beginning of Research Ethan Mollick
  15. The primary source on how ChatGPT blends live web results with a conversational interface. openai.com Article Introducing ChatGPT search OpenAI
  16. A hands-on, regularly updated comparison of the two tools founders reach for first. zapier.com Article Perplexity vs. ChatGPT: Which AI tool is better? Zapier
  17. Side-by-side query tests that show concretely when AI search saves time and when Google still wins. felloai.com Article Google Search vs. Perplexity: The Best Search Tool for Daily Use in 2025 Fello AI
  18. A structured teardown of how the answer-engine experience differs from the link-list experience. llmrefs.com Article Perplexity vs Google: A Head-to-Head SEO and UX Analysis LLMrefs
  19. The official quick-start covering Search, Research and Labs modes so you use the right one per task. perplexity.ai Guide Getting Started with Perplexity Perplexity
  20. The India moment for AI search: Perplexity Pro bundled free for Airtel users, worth checking if you qualify. airtel.in Article Airtel partners with Perplexity: Pro for 360mn customers Airtel
  21. Why web-grounded Claude changed the calculus for founders who prefer Claude's reasoning. venturebeat.com Article Anthropic just gave Claude a superpower: real-time web search VentureBeat
  22. The official how-to including query limits per plan, so you spend your monthly runs wisely. help.openai.com Guide Deep research in ChatGPT (Help Center) OpenAI
  23. Google's launch post explaining the plan-approve-refine flow Gemini pioneered. blog.google Article Try Deep Research and our new experimental model in Gemini Google
  24. Short official playbook on editing the research plan and asking for report revisions. blog.google Guide How to use Google's Deep Research: official tips Google

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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