Token ROI
The measurable value produced per token consumed. The business metric for Context Efficiency.
Token ROI translates Context Efficiency into business language. It asks: what did we get for what we spent? This requires defining "value" in concrete terms — features shipped, bugs fixed, documents produced, decisions made — and dividing by total token consumption. Token ROI makes AI spending legible to business stakeholders who don't care about tokens but do care about output per dollar. It also surfaces the hidden costs: re-onboarding tokens, wasted reasoning, and Token Burn all reduce ROI even if the raw output looks productive.
More in Measurement
Context Efficiency
Useful retained state per token consumed.
Context Utilization Rate
The percentage of input context that the model actually uses for its output. Low rate = waste.
Recall Cost Ratio
The cost of retrieving stored context vs. the cost of re-generating it from scratch.
Waste Ratio
The proportion of tokens consumed that produce no useful output. The metric behind Token Bleed and Token Burn.
Iteration Velocity
The speed at which a human-AI pair can move from idea to tested output.
Recovery Cost
The time and tokens required to get a session back on track after a failure — State Loss, Execution Hallucination, or Plan Drift.
Quality-Per-Token
A measure of output quality relative to tokens consumed. Distinct from Token ROI (value) — this measures correctness, completeness, and relevance per unit of cost.