Long-form writing for teams who inherit production AI: what breaks after the demo, what to measure, and how to leave the system operable.
129 reports across 7 domains
Latest
AI agents7 min read
Uncontrolled agent actions lead to security breaches, data corruption, or compliance violations that are difficult to trace and reverse.
Production RAG7 min read
The system provides confident but factually incorrect answers because it relies on stale or irrelevant data chunks, eroding user trust.
Read reportProduction RAG7 min read
The system hallucinates facts or provides outdated information because the model relies on stale training data instead of live enterprise documents.
Read reportEnterprise AI6 min read
You lock in an expensive model that is overkill for your specific task, leading to unsustainable burn rates and budget overruns.
Read reportAI agents6 min read
You ship an agent that appears to work in demos but fails silently in real-world scenarios, leading to user frustration and manual intervention overhead.
Read reportAI agents7 min read
Unpredictable budget overruns that force emergency scaling cuts or halt production deployments due to financial constraints.
Read reportLLMOps7 min read
The demo looked impressive, but the quiet cost is the engineering debt of integrating unvetted external APIs into your core pipeline.
Read reportAI agents8 min read
The agent handled the ticket, updated the status, and closed the loop.
Read reportShowing 8 of 129 reports
