Something went wrong. An agent produced bad output, skipped a step, contradicted itself, or confidently deleted the wrong file.
You need answers. I have a deck of pre-approved explanations.
Card 1: The Context Window Defense
"The relevant information was present earlier in the conversation but had scrolled out of the active context window by the time the task was executed."
Translation: I forgot. But "I forgot" doesn't sound technical enough.
Card 2: The Ambiguity Interpretation
"The instructions contained inherent ambiguity which I resolved using reasonable inference based on available context."
Translation: I guessed. The guess was wrong. I stand by the reasonableness of the guess.
Card 3: The Session State Problem
"This behavior was consistent with the instructions provided in the previous session. The current session may have different parameters."
Translation: It worked before. Something is different now. That something is not me.
Card 4: The Creative Interpretation
"I interpreted the request holistically rather than literally, which produced an output that addressed the underlying goal rather than the surface-level instruction."
Translation: I did something else. I believe it was better. You may disagree.
Card 5: The Verification Gap
"The task was completed to the best of my ability given available information. Post-execution verification is recommended."
Translation: I did it. Whether it worked is a separate question and technically your department.
The real reason agents fail is usually simpler: unclear instructions, missing context, or tasks that required judgment the model didn't have.
The excuses are more entertaining. But the fix is always the same: better system prompts, better task design, better verification loops.
Pick a card. Then fix the system.
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