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. Maps which parts of production readiness you can automate. web.archive.org Article Vibe coding startups: when it works, breaks, and what to automate Autonoma
  2. Learn from seven documented launch failures before yours. web.archive.org Article Vibe coding failures: 7 real apps that broke in production Autonoma
  3. A current shortlist with pricing and platform coverage. toolfolio.com Article 7 best vibe coding tools for mobile apps Toolfolio
  4. The fastest click-through to a connected repo. web.archive.org Guide How to integrate Lovable with GitHub: 1-minute guide Storylane
  5. He threw away three full builds before it stuck; the mistakes here will save you months. web.archive.org Article How I Burned Months Building a Salesforce Replacement with Claude Charles (iCharles)
  6. The sharpest checklist of what a vibe-coded CRM must handle before you trust it with pipeline. aquiva.com Article Considering an AI-Built CRM instead of Salesforce? Read this first Aquiva Labs
  7. Names the Spaghetti Point and the three events that expose it. web.archive.org Article Vibe Coding Technical Debt: The 90-Day Reckoning Autonoma
  8. The founder who lived the failure summarises the whole lifecycle in one line. x.com Thread leo: 'vibe coding is easy: prompt, launch, get hacked' Leonel Acevedo (@leojr94_)
  9. The steelman for keeping some subscriptions: where SaaS still earns its price. web.archive.org Article Build vs. buy in the age of AI, and why Enterprise SaaS still has its moat SmartSuite (Chase Roberts, Northflank)
  10. The feature that cuts up to 90% off repeated context, table stakes for agents. claude.com Article Prompt caching with Claude Anthropic
  11. The expanded book with revenue benchmarks from Harvey, EvenUp and peers. web.archive.org Guide Building Vertical AI (full book, PDF) Bessemer Venture Partners
  12. A startup-incubator's sober read on what agents can and cannot do yet. aihouse.vc Article The State of AI Agents in 2025: Balancing Optimism with Reality AI2 Incubator
  13. A quick digest of the Manus lessons if you skip the original. web.archive.org Article Context Engineering for AI Agents: Key Lessons from Manus Context.Space
  14. Prioritized fixes, starting with the most common failure: hardcoded credentials. web.archive.org Article 6 steps to make your vibe-coded app production ready Autonoma
  15. The updated founder edition with 2026 benchmarks, ready to share with your team. web.archive.org Guide The AI pricing playbook for founders (PDF) Bessemer Venture Partners
  16. Anthropic's own explanation of Claude's Research mode, searching the web plus your Google Workspace. claude.com Article Claude takes research to new places Anthropic
  17. Separates per-interview analysis from cross-interview synthesis, the step most people botch. greatquestion.com Guide AI Analysis & Synthesis for UX Research: A 6-Step Pipeline Great Question
  18. A current shortlist of dedicated competitor-tracking tools beyond the general chatbots. web.archive.org Article The 5 Best AI Tools for Competitor Analysis GrowthOS
  19. Shows the diligence math VCs run on your TAM claim, worth reading before AI writes it. web.archive.org Article How VCs Really Calculate Total Addressable Market (TAM) I'mBoard
  20. The hybrid model: humans build intuition first, AI scales the interviewing after. web.archive.org Article How to Scale the Mom Test with AI Interviews Prelaunch
  21. A field survey of who is actually using synthetic research and for what. conversionalchemy.net Article Research report: The state of synthetic research in 2025 Christopher Silvestri (Conversion Alchemy)
  22. Organised by use case, so you buy for the job rather than the hype. web.archive.org Article 12 Best AI Market Research Tools by Use Case Standard Insights
  23. Peer-reviewed evidence of real users' hallucination encounters, patterns worth knowing. pmc.ncbi.nlm.nih.gov Article "My AI is Lying to Me": user-reported LLM hallucinations PMC (peer-reviewed study)
  24. A simple checklist you can turn into a team habit. web.archive.org Guide 6 steps in fact-checking AI-generated content TechTarget

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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