Demos are Magic, but 90% of AI Agent Code Handles Silent Model Failures
Ok-Salary-6309 · reddit · 2026-08-14
Using a data reporting agent as an example, the author points out that the impressive demo only accounts for 10% of the actual codebase. The remaining 90% is entirely dedicated to handling the model's silent, confident failures: inventing plausible numbers or faking success when tool calls hit rate limits.
To survive production, developers must write extensive defensive code:
- Robust Retries: Handling transient tool call failures.
- Strict Output Validation: Reconciling numbers and checking required fields against the source before human review.
- Forced Honesty: Implementing hard rules that force the agent to admit "I couldn't get X" instead of papering over gaps.
- Comprehensive Logging: Logging every decision step to trace exactly which step lied when things go wrong.
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