Raw AI output is dangerous to just use. And yet - we do, because that’s 2026’s state of the art.
It’s like your raw thoughts - you wouldn’t act on them, you’d pass them through many filters you’ve designed over the course of your life.
This is a tricky harness engineering problem - but it’s solvable. We need deterministic shells around these things.
Don’t use raw AI output. Paste it back with feedback, or build tools and scripts that automate that self-reflection loop. Don’t ask it for financial advice; instead have it build - and then populate - financial models. Request that it use symbolic modeling to reason about problems (this nudge was all it took for Gemini to ace the “walk 50m to the car wash” question.) Ask it to contemplate its essay in the context of Wikipedia’s “signs of AI writing” article and clean it up a bit. Have it build you a tool that automates the “clean this essay up” step for you, so you only see cleaned up essays.
We all refine our work until it’s ready - the culture of AI use needs to mirror that.
It’s like your raw thoughts - you wouldn’t act on them, you’d pass them through many filters you’ve designed over the course of your life.
This is a tricky harness engineering problem - but it’s solvable. We need deterministic shells around these things.
Don’t use raw AI output. Paste it back with feedback, or build tools and scripts that automate that self-reflection loop. Don’t ask it for financial advice; instead have it build - and then populate - financial models. Request that it use symbolic modeling to reason about problems (this nudge was all it took for Gemini to ace the “walk 50m to the car wash” question.) Ask it to contemplate its essay in the context of Wikipedia’s “signs of AI writing” article and clean it up a bit. Have it build you a tool that automates the “clean this essay up” step for you, so you only see cleaned up essays.
We all refine our work until it’s ready - the culture of AI use needs to mirror that.