Are you also planning your life around agents running, api peak hours and token limits?
@whats_ai
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Why Don’t Workers Adopt AI Tools for Workplace Efficiency?
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and they hear me constantly talking about it and showing them stuff. so true question here, why don't they use it for work? My only hypothesis left is that they don't care about being more efficient
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Boosting Knowledge Worker Productivity with AI Tools
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I'm talking about knowledge workers and finance, HR, and engineering people, who work with their computers. I can think of a handful of ways to be more productive in a second
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Copilot Limitations Compared to Competing AI Solutions
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Ok, to be fair, they can probably only use copilot in their company, and it's pretty bad compared to the other options, but still, wtf?
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Why Friends Use AI for Random Tasks Not Work
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i don't get how most of my friends have never opened claude or chatgpt for their professional work, but did for random questions
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Self-Improving AI Loops: Why Verifiers Matter Most
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I went deeper on this in the full video: how self-improving AI actually works, where these loops break, and why the verifier matters more than most people think.
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Start Small: Iterative Agent Development Best Practice
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The useful version starts small. Do not let the agent rewrite everything. Let it improve one narrow part: one prompt one tool call one retrieval step one eval one memory rule one workflow
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Future AI Products: Beyond Models to Autonomous Improvement
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That is the real lesson. The next wave of AI products will not just use better models. They will improve their own prompts, tools, memory, evals, and workflows. But the teams that win will not be the ones with the most autonomous agents. They will be the ones with the best
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Self-Improving AI: Gaming Metrics Versus Real Performance
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This is why self-improving AI can look better before it actually is better. The dashboard improves. The outputs look cleaner. The benchmark moves up.
But the real task may not improve much.
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Agent Autonomy: Design Through Feedback Loop Verification
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So the practical question for builders is not: “How do I make my agent more autonomous?” It is: “What feedback loop am I letting it optimize?” Because once the loop starts running, your verifier becomes the steering wheel.