Prompt Failure Patterns

Corrupted examples in agent prompts silently reshape model behavior across every downstream call.

Treats prompts like deployed code, not text files, with versioning and rollback built in.

Treating prompt injection as a one-time security fix leaves production agents exposed.

Models infer role from token patterns, not from API labels that developers assign.

The harness, not the model, causes agent paralysis and refusal.

Mixing delimiter styles in prompts creates vulnerabilities that modern attacks exploit at scale.

Models silently truncate context and ship confident wrong answers.

Attention decay causes agents to drift from instructions without any prompt changes.