First-Pass Execution
The model completing a task correctly on the first attempt because context was clear enough to skip interpretation loops.
First-Pass Execution is the gold standard for prompt engineering and system design. It means the model read the prompt, understood the task, and produced the correct output without needing clarification, without backtracking, and without the user having to send follow-up corrections. First-Pass Execution doesn't depend on model intelligence — it depends on context quality. A less capable model with perfect context will achieve First-Pass Execution more often than a frontier model with messy context. Every follow-up turn you don't need is money saved and time recovered.
More in Reasoning Cost
Reasoning Tax
Extra model cost paid to compensate for context debt.
Token Bleed
Silent budget drain from re-onboarding — tokens spent re-explaining context the system should already hold.
Token Burn
Token waste caused by a client sending the entire session history to the LLM on every call.
Context Compensation
The model using additional reasoning to make sense of poor, bloated, or unstructured context.
Reasoning Inflation
More reasoning is required to extract the same signal from worse context.
Reasoning Load
The amount of interpretive work a model must perform before useful task execution begins.
Cognitive Drag
Friction introduced by poorly structured context.
Reasoning Efficiency
The model producing correct output with minimal interpretive overhead — the reward for clean context.