AI Agent · Critiques and improves

Evaluator Agent

Critiques outputs and improves them through feedback loops.

What the Evaluator Agent Does

The Evaluator Agent critiques outputs and improves them through feedback loops. It checks work against the brief and either refines it or sends it back.

Why It Matters

It keeps quality high as volume grows, and the lessons it produces are what the learning layer stores. It sits in the Memory and Recursive Learning Layer because evaluation is how the system learns what good looks like.

Flow

Inputs and Outputs

Inputs

  • Execution outputs
  • Success criteria and standards
  • Past quality signals
  • Brand and policy rules

Outputs

  • Pass, fail, or improve decisions
  • Refined outputs
  • Quality scores and notes
  • Lessons for memory

Example

Example Use Cases

Where it shows up

  • Improving copy and refining translations
  • QA on generated content
  • Scoring outputs against a rubric
  • Flagging claims for human review

Common Failure Modes

When this agent breaks

  • Approving work that misses the brief
  • Endless revision loops
  • Checking style but not substance
  • Discarding its own lessons

In the Hierarchy

Parent Layer

Layer 03

Memory + Recursive Learning Layer

The Memory and Recursive Learning Layer remembers context, decisions, and lessons, and feeds them back so every loop starts smarter than the last.

Swarm Loop

Stages It Works In

Stage 5

Evaluate Stage

Check quality and improve the output before it moves on.

Stage 8

Learn Stage

Store lessons so the next loop starts smarter.

Nearby

Agents It Works With

Remembers and retrieves

Memory Agent

Manages short-term, long-term, and compressed memory; controls storage and retrieval.

Watches the whole system

Monitor Agent

Oversees the agent system; monitors performance, cost, safety, loops, and failures.

See the Evaluator Agent in Action

Run a live mission to watch this agent coordinate with the rest of the swarm, or browse every agent type in the index.

Launch Simulator All Agent Types
Memory AgentSpecialist Agent