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From Tokenmaxxing to Skills Intelligence: Why AI’s Real Cost Isn’t Compute — It’s Context

Diagram contrasting AI agents rediscovering context on every run versus operating against structured, executable enterprise knowledge to reduce token consumption.

AI spend is climbing faster than anyone budgeted — and the industry is blaming usage. That’s the wrong target. AI gets expensive when it runs without understanding the work, forcing agents to rediscover context on every run. Liz Eversoll and Joe Shepherd break down why context is the new advantage, and how encoding knowledge in SIGN cut token consumption by half.