Why AI systems need version control for prompts
Prompts are the most frequently changed component of most AI systems, and most teams track them worse than any other code. No history, no rollback, no understanding of what changed between the version that worked and the version that does not. This is a solvable problem with known solutions.
How to run an AI proof of concept that actually transfers to production
Most AI proofs of concept succeed and most AI production deployments disappoint. The gap is not a mystery: POCs and production systems are built under different conditions, measured by different criteria, and staffed by different people. Closing the gap requires designing the POC differently from the start.
The AI infrastructure decisions that age poorly
Some infrastructure choices that seem reasonable when you are building your first AI feature become serious liabilities as the system matures. The teams that have been building production AI long enough have learned which decisions these are. Most teams learn them the hard way.