We Failed 3 Times Before This AI Agent Worked (Here’s What We Fixed)
Apr 20, 20261 min read
Most AI case studies only show the success. This one doesn’t.
Our first version failed because the model hallucinated 40% of the time. The second version failed because the retrieval system returned irrelevant documents. The third version failed because latency was too high for real users.
Only after fixing all three did we reach a stable system.
What we changed:
Switched from naive prompt → structured system prompts Added hybrid search (semantic + keyword) Cached frequent queries to reduce latency
Result:
92% accuracy improvement 3x faster response time Zero critical hallucinations in production
