Why One Model Should Not Handle Every AI Task
Using one model for every AI task turns model choice into a hidden default. Production workflows need explicit model policies for task type, risk, latency, evidence, fallback, and evaluation.
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Tag
AI FinOps
Token Economics: Why Prompt Bloat Kills AI Margins
Token waste is architecture debt. Oversized prompts, broad context, verbose outputs, retries, review, and eval runs compound into the cost per trusted completed unit.
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Semantic Caching Is Harder Than It Looks
Semantic similarity measures intent, not validity. Safe AI caching needs source versions, schemas, model policy, evidence, permissions, review state, and wrong-hit tracking.
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