Become an AI-native founder
The meta-skills: build your stack, prompt well, and use AI to research, think, and decide.
6 steps to get you moving, each with a resource worth your time and more waiting underneath
Think of this as a friendly starting line, not the last word. Each step gives you the gist, then a resource worth your time from founders who've actually done it. There's always more underneath, more questions and more resources, whenever you feel like digging in.
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1
Building Your AI StackChatGPT vs Claude vs Gemini vs Grok, how do founders actually choose?
The gist Founders who use AI daily have stopped asking "which one is best" and instead match the tool to the task: Claude tends to win for writing, coding and thinking through strategy; ChatGPT is the best all-rounder with the strongest voice mode and app ecosystem; Gemini shines for research, live web answers and anything inside Google Workspace; Grok is mainly useful for real-time news and what's happening on X. The practical move is to pick one $20 daily driver, then run your actual work (an investor email, a landing page, a market question) through two or three of them for a week and keep whichever output you'd actually ship.
ChatGPT vs Claude vs Gemini: The Best AI for Each Use Case in 2025 Peter Yang (Creator Economy) A product leader runs the same real tasks (coding, writing, research, images) through all three models side by side, so you see exactly where each wins instead of taking benchmark claims on faith. -
2
PromptingWhy do some people get 10x better results from the same AI tools?
The gist Because the output you get depends as much on how you ask as on the model itself, an MIT study found that roughly half the quality gains from a better AI model came from users learning to communicate with it, not from the model. Power users treat AI like a smart new hire: they give it background, examples, and clear success criteria, then iterate on the answer instead of accepting the first draft. The good news is this is a learnable communication habit, not a technical skill.
Study: Generative AI results depend on user prompts as much as models MIT Sloan (Ideas Made to Matter) Hard evidence that half the 'better AI' effect is the user's prompting skill, the clearest answer to why identical tools produce wildly different results. -
3
AI as a Thinking PartnerHow do founders use AI for strategy, decisions, and brutal feedback?
The gist Founders treat AI less like a search engine and more like a smart colleague they can think out loud with: they paste in their strategy doc, pricing plan, or investor update and ask it to poke holes, list risks, and argue the other side before they commit. Because the default behavior of ChatGPT or Claude is to be agreeable, the trick is explicitly asking for criticism ('challenge my assumptions', 'tell me why this fails') and giving it real context about your business. Used this way, AI becomes a cheap, always-available second opinion that sharpens decisions instead of just producing text.
AI as Your New Strategic Thought Partner, Jeremy Utley (Stanford) Jeremy Utley on Proof of Work: Applied AI Case Studies Stanford's Utley shows why treating AI as a teammate, not a tool, changes the quality of strategic thinking you get out of it. -
4
Search & ResearchWhy use AI (ChatGPT, Perplexity, Claude, deep research modes) instead of Google?
The gist Google gives you ten links to open; AI search tools read those pages for you and return one synthesized, cited answer you can interrogate with follow-up questions. For founder research (markets, competitors, regulations, vendor comparisons) that saves hours, and tools like Perplexity cite every claim so you can verify. Google still wins for navigation, local results and anything where you want the primary page itself, so most founders now run both.
Aravind Srinivas: Perplexity CEO on Future of AI, Search & the Internet (Lex Fridman #434) Lex Fridman Three hours with the founder rebuilding search from scratch, explaining exactly why answers-with-citations beat ten blue links. -
5
Data AnalysisWhy let AI analyze my data instead of learning Excel formulas or SQL?
The gist Because the bottleneck stops being syntax and becomes asking good questions. Modern AI tools write and run real code on your files, so a founder can get in seconds what used to take weeks of formula and query practice. You still want enough data literacy to sanity-check what comes back, but you no longer need to master VLOOKUP or JOINs before getting real answers from your own numbers.
What AI can do with a toolbox: Getting started with Code Interpreter Ethan Mollick The Wharton professor's original field report on why an AI that writes its own code beats memorizing formulas. -
6
FundraisingHow do founders use AI to research investors and personalize outreach?
The gist Founders now compress investor research from weeks to hours: free tools like NFX Signal and OpenVC match you to investors by stage, sector, and check size, while Claude or ChatGPT turn an investor's portfolio and thesis into a genuinely specific first line. The catch is that investor inboxes are saturated with templated AI email and VCs can spot it in seconds, so the winning pattern is AI for research, list qualification, and drafts, then your own voice for the final send.
Signal by NFX NFX The free fundraising network with thousands of investor profiles that shows which VCs want your stage and sector, plus your strongest warm-intro path.
