when reasoning pays off

Blog / evidence notes

Articles

The evidence dashboard is the audit trail; the articles are the decision story. Each essay starts with a question, names the chart used to answer it, and closes with an operator takeaway. Read them in order or jump to the layer you need.

The arc runs from claim to practice. The overview essay states the single message and the evidence boundary. The evidence topics open each measured slice one at a time. The bridge essay marks where the voice shifts from measurement to production. The operations essays carry the same measurement habit into day-to-day running — recovery, cache routing, retention, and migration sizing. Underneath all of it, the evidence dashboard holds the governed tables and source charts every claim is drawn from.

Overview essay: same token price, different bill

A guided read of the public chart-data snapshot: where reasoning effort wastes spend, where it earns a trial, and why hidden reasoning tokens must be budgeted explicitly.

Read the overview essay

Topics inside the overview essay

Short factual work

Cost rises without a matching quality gain.

Read this topic

Invisible reasoning tokens

Internal tokens explain why the bill changes even when output looks similar.

Read this topic

Multi-step work

Reasoning can pay when the evaluator moves enough to justify it.

Read this topic

Tool-agent ceiling checks

Agent workloads need quality and latency read together.

Read this topic

Agentic loop & budget governance

Operator pattern (L6), not a new measurement: bound the loop the ceiling check can't reach.

Read this topic

PTU/PAYG planning

Modeled crossover is planning guidance, not direct capacity evidence.

Read this topic

Bridge essay

One essay sits between the evidence and operations layers, naming why the voice changes and which habits carry across.

From measurement to production

How the evidence-layer measurement habit transfers to production operations, and what stays the same.

Read the bridge essay

Operations essays

These essays move one layer closer to production operations: recovery, cache routing, retention, and migration sizing.

429 recovery with retry-after-ms

Why PTU recovery should follow the service header instead of health-check polling.

Read this article

prompt_cache_key bucketing

Cache keys are routing-affinity controls; bucket by workload, not by request ID.

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Explicit cache retention

When the operation assumes a longer cache window, make retention an explicit request policy.

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Reasoning-model migration sizing

Explain PTU demand through output weighting, reasoning tokens, cache shape, and max-token policy.

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