Daredevil of AI Disaster
Every model launch is a migration plan
The Daredevil's desk is a graveyard of half-finished experiments. They have more AI tools installed than any three colleagues combined. They reference tools nobody else has heard of. They repeat the big hot takes of the moment as if they were settled law.
Symptom
GitHub full of partially finished projects. Local environment cluttered with experimental tools. References to obscure services. Treats governance as an inconvenience for less visionary people. Can burn through thousands of dollars in API costs in a single day.
Why It Matters
The Daredevil's costs arrive in three forms: wasted time, unstable dependencies, and governance trouble. When an experimental tool changes pricing, gets acquired, or shuts down, the damage becomes visible all at once.
What the Chapter Gives You
How to build a sandbox that channels the Daredevil's energy without letting it escape into production, and why consolidation beats constant migration.
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