Insights
Practical notes on making AI useful, bounded, and operable.
Written for founders, product leaders, and engineers who need more than a model demo. Each article aims to add a decision framework, implementation lesson, or clearly sourced market signal.
Production AI is a systems problem
The model call may be the most visible component, but the surrounding workflow determines whether an AI feature is dependable.
Read article →02When an agent is the wrong tool
Autonomy is valuable when a workflow requires judgment. It is expensive and risky when ordinary software can express the rules.
Read article →03Evaluate the workflow before you scale the AI
A useful evaluation set starts with real decisions and failure costs — not a generic benchmark score.
Read article →Editorial standard
New information, not a different hook.
Future articles will be checked against the existing content index. A piece must add new evidence, a deeper technical layer, a new tradeoff, or a practical framework — not simply rewrite an earlier LinkedIn post.