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Logic Lab AI 🧪 @LogicLabAI

AI is the most important tech of our lifetime. Too many people are lost. I run the lab that explains it simply.

Joined March 2026
  • Tweets 536
  • Following 588
  • Followers 94
Photos and videos
Someone built a tool specifically to stop AI from generating boring, generic output and it got 2,000 stars overnight. Turns out giving AI good taste is a real problem people actually wanted solved.
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Most people use AI like a hammer and suddenly everything looks like a nail. The rare skill is knowing which problems actually benefit from it and letting the rest stay human.
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ElevenLabs Music v2 can switch genres mid-track. That's not a feature, that's a completely different idea of what a song even is.
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The moment Tailwind clicks is when you stop fighting CSS specificity and start just describing what you want. Actually finishing a dashboard because of it? That's the real tutorial.
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Real software engineering is mostly confusion interrupted by brief moments of clarity. Nobody tells you that. The job isn't writing perfect code. It's surviving long enough to make the system work.
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Plugins for knowledge workers is the category nobody was hyping but everyone needed. The gap between 'AI can do that' and 'AI is doing that inside my actual workflow' just got smaller.
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The workplace stories that stick with you are never about the work. They're about what happens when systems forget they're made of people.
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Search used to mean 'go find it.' Now it's starting to mean 'go figure it out.' That's not a minor upgrade. That's the whole behavior changing.
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The models are converging. GPT, Claude, Gemini are all roughly incredible now. The interesting question isn't who builds the smartest model. It's who figures out where people actually need it.
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The skill shift nobody talks about: it's not writing better prompts. It's designing systems where the prompts write themselves. That's a completely different job, and very few people are actively building toward it.
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Nobody talks about evaluation pipelines but they might be the most important part of any AI system. Getting good output once is easy. Knowing when you're consistently getting bad output is the hard part.
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Prompt engineering as a job title is aging out. What replaces it is messier and more interesting: designing systems that prompt themselves, route between models, and grade their own outputs. Less poet, more plumber.
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The instinct to build your own solution because nothing existing quite fits is one of the best things about being a maker. 'The video wasn't working, so I built a game.' That's it. That's the whole story.
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The amount of code I've written just to understand something I could've Googled in 30 seconds is staggering. I regret nothing. That's still how I learn best.
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OpenAI is shipping things faster than I can form opinions about the previous thing. I do not know if that is exciting or exhausting. Today it feels like both and I am okay with that.
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The agency model for developers sounds amazing until you notice you're still the one doing the real thinking. The AI just types faster than you.
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WiFi signals already map your house better than any camera. Someone just wrote the software to read them. Presence detection, vital signs, spatial mapping. No pixels. Just radio waves you were already swimming in.
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Features are moments. Systems are machines. A feature ships and sits there. A system gets better every week without you touching it. The founders who understand this are building very differently than the ones still celebrating shipping.
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The coding agent race is now a three-way photo finish between products that did not exist as competitors a year ago. Pick the one your brain matches. Then go ship something.
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Everyone's building AI agents right now. 90% of them are just if-else statements wearing a trench coat pretending to be autonomous. The 10% that actually work? They fail constantly, they just recover faster than you notice.
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