An AI agent does what you tell it. The problem is you.
Agent failures in production don't come from the model. They come from ambiguous instructions, undefined scopes, and people who mistake a prompt for a specification.
Here's the mistake 90% of teams make when deploying an agent to production for the first time. Two weeks choosing the model. Two days setting up infrastructure. Two hours writing the prompt. Then wondering why the agent does unexpected things.
A prompt is not a specification. It's an intention in natural language, and natural language is inherently ambiguous. When you write "summarize this document" you haven't specified length, detail level, target audience, what to include or exclude, tone, language. The agent makes choices its training leads it to — not necessarily yours.
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