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.
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
- 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
- 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
- 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
- 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
- 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
What founders use most, ranked by how many answers lean on it.
- The company that popularized charging per resolution explains its own model. sierra.ai Article Outcome-based pricing for AI agents Sierra (Bret Taylor's team)
- The diagnostic to run before you copy anyone's agent pricing. growthunhinged.com Article Your pricing is (probably) broken: here's how to fix it Kyle Poyar (Growth Unhinged)
- The listenable version: AI products can capture 25-50% of value created. open.spotify.com Podcast Pricing your AI product (audio) Lenny's Podcast
- The quick summary thread before you commit 90 minutes. x.com Thread Lenny on Madhavan's pricing playbooks Lenny Rachitsky
- An India-founded billing leader's data on outcome and value models. chargebee.com Article Pricing AI for Distribution: How AI Companies Use Pricing to Grow Chargebee
- The structural argument: agents don't log in, so seats can't price them. mindstudio.ai Article SaaS Pricing Is Breaking: Why Per-Seat Models Don't Survive the AI Agent Era MindStudio
- How enterprise buyers expect to budget for agents, useful in negotiations. deloitte.com Article SaaS meets AI agents: transforming budgets and customer experience Deloitte
- What incumbents are doing to their pricing, so you can position against it. rsmus.com Article SaaS vendors must adjust pricing models as agentic AI transforms the industry RSM US
- Includes the practical bit others skip: define 'resolved' in the contract. softwareseni.com Article SaaS pricing is shifting from per-seat to usage and outcome SoftwareSeni
- The stat everyone quotes, with the integration story behind it. fortune.com Article MIT report: 95% of generative AI pilots at companies are failing Fortune
- Names the 'prompt doom loop' that kills adoption inside companies. salesforce.com Article Why 95% of AI Pilots Fail, and What the Other 5% Do Differently Salesforce
- An agent-builder's readthrough of the MIT NANDA findings. beam.ai Article 95% of Enterprise AI Pilots Are Failing: MIT Report Reveals Why Beam AI
- The testing-company view: winners treat agents as software, with rigor. tricentis.com Article Why 95% of AI pilots fail, and what it takes to scale in the agentic era Tricentis
- A concrete path from pilot purgatory to production. dataiku.com Article MIT Says 95% of GenAI Pilots Fail: How to Beat the Odds Dataiku
- Pattern-matches the survivors: workflow integration and adaptability. multimodal.dev Article Why AI Pilots Fail and How to Succeed Like the 5% Multimodal
- 1,340 practitioners on what blocks agents: quality first, latency second. langchain.com Article State of Agent Engineering LangChain
- The baseline survey to compare how fast the field is maturing. langchain.com Article LangChain State of AI Agents Report LangChain
- Top use cases and blockers in one thread. x.com Thread State of AI Agents: we surveyed 1300+ professionals LangChain
- The full downloadable data if you want to cite it to your board. langchain.com Guide State of AI Agents Survey & Report LangChain
- Stitches the three big failure studies into one narrative. medium.com Article MIT Says 95% Fail. McKinsey Explains Why. Agentic Engineering Shows the Fix. Yi Zhou
- Independent analysis of the adoption data, minus vendor spin. infoq.com Article New LangChain Report Reveals Growing Adoption of AI Agents InfoQ
- A blunt pre-mortem checklist to run before you start. medium.com Article Why Your AI Agent Pilot Will Join the 95% That Fail Ali El-Shayeb
- A useful antidote to demo-day expectations of agent competence. theconversation.com Article OpenAI's deep research agent is still just a fallible tool The Conversation
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Video
Simon Willison and swyx: The State of AI
Simon Willison & swyx
Playbooks
A goal, and the route through it a step at a time.