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 gentlest possible on-ramp if your team writes Python but has never called a model API. machinelearningmastery.com Guide Your First OpenAI API Project in Python, Step-By-Step Machine Learning Mastery
  2. A CPO livebuilds a real feature with AI tools, showing how fast the idea-to-ship loop has become. creatoreconomy.so Article From Idea to Product in 30 Min Using AI Agents | Claire Vo Peter Yang (Creator Economy) with Claire Vo
  3. Cached reads cost 10% of normal input price; the single highest-leverage cost lever, from the primary source. platform.claude.com Guide Prompt caching (Claude docs) Anthropic
  4. A flat 50% discount for anything that can wait up to 24 hours, like digests, enrichment, and backfills. developers.openai.com Guide Batch API (OpenAI docs) OpenAI
  5. Grounded numbers on what AI COGS actually look like across real startups, not vibes. tanayj.com Article The State of AI Gross Margins in 2025 Tanay Jaipuria (Wing VC)
  6. Fresh survey data showing margins improving from 41% to 45% and what the improvers did differently. upstartsmedia.com Article Exclusive Data: Startups Are Learning What AI Profits Look Like Upstarts Media
  7. Routing, compaction, prompt trims, caching, batching: each lever quantified so you know what to do first. morphllm.com Article LLM Cost Optimization: 5 Levers to Cut API Spend 70-85% Morph
  8. Engineering-level detail on token budgets and semantic caching from an infra company that measures it. redis.io Article LLM Token Optimization: Cut Costs and Latency Redis
  9. Diagram-first explanations your whole team can absorb in ten minutes. pub.towardsai.net Article 8 LLM Cost Optimization Techniques, Visually Explained Divy Yadav (Towards AI)
  10. A gateway gives you routing, fallbacks, and spend visibility in one move; this compares the options. helicone.ai Article Top 5 LLM Gateways in 2025 Helicone
  11. A sober side-by-side of per-token prices across the big three, including budget tiers. intuitionlabs.ai Article LLM API Pricing Comparison (2025): OpenAI, Gemini, Claude IntuitionLabs
  12. A builder's receipts: one technique, a 90% real bill reduction, with the code that did it. medium.com Article Prompt Caching is a Must: From $720 to $72 Monthly Du'An Lightfoot
  13. Actual production numbers for agent workloads, the costliest and least predictable AI feature type. medium.com Article The Unit Economics of AI Agents: Budgeting LLM Costs with Real Numbers Nikhil Sood
  14. Understand your supplier's economics to predict where API prices go next. exponentialview.co Article X-raying OpenAI's unit economics Azeem Azhar (Exponential View)
  15. A structured comparison across reasoning, coding, context, and compliance rather than hype. intuitionlabs.ai Article Claude vs ChatGPT vs Copilot vs Gemini: Enterprise Guide IntuitionLabs
  16. Side-by-side output quality on real writing tasks, the kind of eval founders should copy. blog.type.ai Article Who Wrote it Better? Claude vs ChatGPT vs Gemini Type.ai
  17. Explains what each benchmark measures so you stop choosing models on a single headline number. futureagi.com Article LLM Benchmarks: GPT-5, Claude, Gemini, Grok compared Future AGI
  18. A serving-infrastructure company's practical map of the open-weight landscape. bentoml.com Article The Best Open-Source LLMs BentoML
  19. A decision framework for the open-vs-closed call, written for teams shipping to customers. techcommunity.microsoft.com Article Comparing Open-Source vs Closed LLMs for Enterprise Apps Microsoft
  20. Covers the hybrid pattern most teams actually land on: closed for frontier tasks, open for private or high-volume ones. hakia.com Article Open Source vs Closed LLMs: Technical Comparison Hakia
  21. From an India-founded ML platform: how gateways make model choice reversible. truefoundry.com Article Helicone vs OpenRouter: Key Differences TrueFoundry
  22. The lock-in insurance layer compared hands-on, including India-built Portkey. klymentiev.com Guide LLM Gateway guide: OpenRouter vs LiteLLM vs Portkey vs Helicone Dmytro Klymentiev
  23. A second, eval-minded view on routing layers so you can switch providers in an afternoon. braintrust.dev Article 6 best LLM gateways for developers Braintrust
  24. A regularly refreshed plain-English rundown of the current frontier models and their sweet spots. codingscape.com Article Most powerful LLMs (Large Language Models) Codingscape

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
eChai Partner Brands The partnership →