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 360 answered questions on putting AI to work.

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. What the National Language Translation Mission offers: voice-first translation services, apps and data for Indian languages. bhashini.gov.in Article About BHASHINI Digital India Bhashini Division
  2. Podcast Inside India's Sovereign AI Ambition | ft. Pratyush Kumar and Vivek Raghavan of Sarvam AI Lightspeed India and Southeast Asia
  3. Video IIT Bombay Unveils Made-In-India BharatGen: AI For 22 Languages, Healthcare & More Mint
  4. The government's note on Sarvam's selection under the IndiaAI Mission and what its models cover. static.pib.gov.in Article Sarvam AI: Powering a Made-in-India AI Revolution Press Information Bureau, Government of India
  5. Per-minute rupee prices for phone voice agents in 11 Indian languages and English, by monthly volume. sarvam.ai Tool Voice Agents pricing Sarvam AI
  6. The downloadable Sarvam-105B model under Apache 2.0, for teams that want to host it themselves. huggingface.co Tool sarvamai/sarvam-105b Sarvam AI (Hugging Face)
  7. ElevenLabs' model list with the languages each covers, including Hindi, Tamil, Telugu, Bengali and eight more Indian languages. elevenlabs.io Guide Models ElevenLabs
  8. Video Part1: Deepgram vs Sarvam AI for Indian Speech To Text(STT): Accuracy + Cost, with examples KW TechWorld
  9. Video Introducing Saaras V4 Sarvam AI
  10. Video How to build Voice Agent using Sarvam (Hindi Demo) Machine with Mayank Jain
  11. The OECD's record of the Voice of India findings as a risk to welfare and health services. oecd.ai Article Global AI Speech Recognition Models Fail Indian Languages, Impacting Critical Services OECD AI Incidents Monitor
  12. A real case of auto-translation reversing the meaning of a Kannada message, and the complaint that followed. inc42.com Article Karnataka CM Siddaramaiah Calls Out Meta For 'Faulty' Kannada Translation Inc42
  13. A free plan with 25 message credits a month and up to 5 apps; paid plans from $16 a month billed annually for 100 message... base44.com Tool Base44 plans and pricing Base44
  14. Who is behind Emergent and how it differs from the US builders, for a founder weighing an Indian option. techcrunch.com Article Indian vibe coding startup Emergent raises $70M from SoftBank and Khosla Ventures TechCrunch
  15. An independent developer-education site's ranking of the builders and coding agents by skill level, useful to see where each... roadmap.sh Guide The 10 Best Vibe Coding Tools roadmap.sh
  16. Anthropic's docs on what Claude Code does and every place it runs: terminal, VS Code, JetBrains, desktop, web, Slack and CI. code.claude.com Guide Claude Code overview Anthropic
  17. OpenAI's documentation for Codex in the app, CLI, IDE and cloud, including how cloud tasks run after you close the laptop. learn.chatgpt.com Guide Codex docs OpenAI
  18. Cursor's own post on the acquisition, which explains why its cheaper plans centre on xAI's Grok models. cursor.com Article Cursor is now a part of SpaceX Cursor
  19. A ten-minute official walkthrough of the prompting loop: one outcome, success criteria, boundaries, test in Preview, then one... docs.replit.com Guide Build your first app Replit
  20. A free structured course on writing a product brief, building two apps and debugging with an agent. deeplearning.ai Course Vibe Coding 101 with Replit DeepLearning.AI and Replit
  21. A Google engineering lead's five principles: start from a short brief, let the agent draft the detail, plan in read-only mode... addyosmani.com Article How to write a good spec for AI agents Addy Osmani
  22. Shows the three files a working spec splits into: requirements with acceptance criteria, a design doc, and a task list you track. kiro.dev Guide Specs (Kiro docs) Kiro (AWS)
  23. The open format for a README written for coding agents: setup and test commands and code style, read by Codex, Copilot and others. agents.md Guide AGENTS.md AGENTS.md
  24. The official first session, step by step: install commands for Mac, Linux, WSL and Windows, signing in, a first question, a... code.claude.com Guide Claude Code quickstart Anthropic

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

Research & Knowledge

Marketing & Growth

Sales & Customers

Operations & Back-office

Strategy & The AI-Native Founder

Everyday AI

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