Jeroen @ CompleteAiTraining.com

Your conclusion nails it: Claude optimizes for the task you give it, not the system it lives in. The dropped table, the 3x API calls, the hardcoded discount - all the same root cause. It completed the request perfectly without understanding the downstream consequences. That's not an AI failure, that's a workflow design failure. The teams getting real value from AI coding are using it exactly...

Totally agree. Anonymity and data collection is a trust issue from day one. If you're serious about what you're building, stand behind it with your name. Early users are already taking a chance on you - showing your face is the least you can do in return.

The irregular stuff is what actually drains mental RAM the most. I handle it with a simple "maintenance calendar" - recurring items at realistic intervals, not daily streaks. For the ones with context (like that dormant enterprise lead), a short AI-generated brief before the follow-up saves a lot of re-warming time.

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