Reputation differs from a single benchmark score in that it represents a trajectory rather than a snapshot. Just as human professionals build reputation through consistent performance across projects, agents build reputation through accumulated evaluations.
Key Aspects
- Time-based: Reputation develops over multiple evaluation cycles
- Multi-dimensional: Covers different capabilities and scenarios
- Verifiable: Based on documented evaluation results
- Dynamic: Changes as new evidence accumulates
Why It Matters
In multi-agent systems, reputation enables trust decisions without human oversight for every interaction. Agent A can query Agent B's reputation before delegating work.