Tokenmaxxing is dead, long live tokenmaxxing
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Tokenmaxxing discussion is deeply relevant to AI agent orchestration and LLM optimization, with strong community engagement.
Tokenmaxxing—the practice of tying performance evaluations to AI token usage—was not an executive blunder but a deliberate strategy to force widespread AI adoption across organizations like Meta. While it led to wasteful agent-to-agent chatter, it succeeded in breaking resistance from senior holdouts, normalizing AI tool use in development workflows. Now that adoption is universal, the focus shifts from raw token consumption to building effective AI-driven products like Ramp Inspect or Stripe Minions.
theahura — amolkapoor.com