Strong Single-Agent Baseline
A control baseline method in agent system design in which a single agent, paired with a sufficiently strong model, a longer context window, and higher reasoning effort, solves the same problem. Latency, cost, and quality are recorded as a quantitative reference for evaluating whether a multi-agent approach justifies the added complexity.
Timeline (last 90 days)
The first pragmatic principle of agent design is to start from a strong single-agent baseline and record its performance on latency, cost and quality as the baseline for later comparison.
A strong single-agent baseline means using a single agent together with a sufficiently strong model, a sufficiently long context window and higher reasoning effort to solve the same problem, and recording its performance on latency, cost and output quality.
All Facts (2)
The first pragmatic principle of agent design is to start from a strong single-agent baseline and record its performance on latency, cost and quality as the baseline for later comparison.
50%UnverifiedA strong single-agent baseline means using a single agent together with a sufficiently strong model, a sufficiently long context window and higher reasoning effort to solve the same problem, and recording its performance on latency, cost and output quality.
50%