AI lies confidently—inventing citations, features, even violent phrases in calm audio. The future isn’t perfect models, it’s skilled users who cross-check, fact-verify, and keep humans in the loop.
The story
Here’s the trend I’m betting on:
Not “perfect AI,” but skilled AI users. The leverage isn’t in the model, it’s in the workflow.
Old way [Domination Brain]:
– Ask one model
– Get a slick answer
– Assume it’s true
– Get blindsided
New way [Agentic Brain]:
– Cross-check models [ChatGPT vs Sonnet vs Gemini vs Perplexity → disagreement = red flag, which happens all the time]. Side note: I *highly* recommend you do something like this; have them check each other!
– Keep *human-in-the-loop* for health, finance, legal, anything with real-world impact… or… everything!
– Use RAG: point the model at your docs/KB so it’s grounded in real data
– Prompt like a lawyer + scientist: narrow scope, demand reasoning, invite “I don’t know” – Fact-check claims against solid sources instead of vibes
I treat AI like a brilliant but unreliable teammate: amazing at drafts, synthesis, and ideas; terrible as the “final authority.”
What would change in your work if you stopped asking, “How smart is this model?” and started asking, “How smart is my *workflow* around it?”
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