The skill you need most in AI is probably something you thought you didn't have to worry about anymore. The CEO of Shopify Tobias Lütke said this: “Learning to use AI well is an unobvious skill. My…

LinkedIn Content Strategy & Writing Style
AI News & Strategy Daily. Your guide through the noise. 20-year product leader. Clear, actionable AI strategy for builders & executives.
1 person tracking this creator on Viral Brain
Nate positions himself as a pragmatic product leader and strategist who translates the high-velocity noise of AI into actionable executive wisdom. His content strategy centers on the "realpolitik" of the AI industry, moving beyond hype to analyze the structural dependencies of "harnesses" versus models and the shifting ethical boundaries of safety and defense. He is notable for his high-fidelity technical intuition, often performing rigorous blind evaluations of frontier models to debunk marketing narratives with real-world edge cases. Nate’s work thrives at the intersection of enterprise architecture and human philosophy, where he balances deep-dive technical tutorials—like building an "Open Brain" memory layer—with poignant reflections on how AI-driven automation reshapes the joy of building and the future of education for the next generation.
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The skill you need most in AI is probably something you thought you didn't have to worry about anymore. The CEO of Shopify Tobias Lütke said this: “Learning to use AI well is an unobvious skill. My…
Introducing Open Brain, because your memories are yours and should be available on any AI system you choose. We have a memory problem, and it’s quietly capping everything you do with AI. Every AI y…

Switching from ChatGPT to Claude is like switching from Excel to Photoshop and wondering why the spreadsheet features are missing. They’re both software. They’re not the same tool. A practical differ…
160,000 developers are building AI agents right now. They're building digital employees. Six weeks ago, an open-source project called OpenClaw launched. It lets you give an AI agent autonomous access…
I'm a dad of three. Building a game recently with my 10-year-old. She typed, "add enemies!" into Claude. She got enemies that spawned off-screen, moved the wrong direction, and couldn't be hit. I a…
“Going independent” is increasingly a rational economic choice for anyone with deep domain knowledge and sufficient AI fluency. The solopreneur can buy a factory now. When intelligence is purchasab…
7.0 posts/week
Posts / Week
1.1 days
Days Between Posts
2
Total Posts Analyzed
HIGH
Posting Frequency
210.5%
Avg Engagement Rate
STABLE
Performance Trend
280
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.82/10
Uniqueness Score
YES
Question Usage
0.3%
Response Rate
Writing style breakdown
<start of post>
The most expensive mistake you can make in 2025 is treating AI as a search engine.
I watched a team of analysts spend six hours trying to get a frontier model to "find" a specific data point in a 400-page PDF. They treated the prompt like a Google query. They got frustrated when the model hallucinated the page number.
They were using a jet engine to vacuum a rug.
The reframe that matters: AI is not a library. It is a staff of junior associates.
If you give a junior associate a 400-page document and say "find the number," they might miss it. If you give them the document and say "summarize the methodology, flag the outliers, and then tell me if the final number matches the raw data," they will give you a masterpiece.
The difference is the "Surface of Agency."
Search engines provide access to information.
Agents provide labor on top of information.
We are moving from the era of "Access" to the era of "Execution."
I ran a test this morning. I gave the same complex task to three different teams. Team A used standard prompting. Team B used a custom-built MCP server to give the model memory. Team C used a human-in-the-loop verification system.
The results weren't even close. Team B and C finished in twenty minutes. Team A is still "fixing the hallucinations."
The infrastructure of your work is changing. If you are still building your workflows around the idea that AI is just a faster way to find things, you are building on sand.
You need to build for agency.
I’m diving deeper into the "Agency Architecture" in this week’s briefing. If you’re trying to move your team from "chatting" to "operating," this is for you. Link in the comments.
Remember: The tool isn't the moat. The way you integrate the labor is the moat.
<end of post>
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