Evaluate Stage | Swarm Loop | Agentic Swarm

Check quality and improve the output before it moves on.

What it is

Evaluate judges whether the work meets the success criteria. It critiques outputs, catches errors, and either improves them through feedback or sends them back for rework.

Why it matters

Autonomy without evaluation drifts. A dedicated check stage is what keeps quality high as volume grows, and it produces the signals that learning depends on.

Example

The evaluator checks the announcement against the brief and brand guidelines, tightens the copy, and flags one claim for human review before approval.

Inputs

• Execution outputs
• The original success criteria
• Quality and brand standards
• Monitoring signals on cost and behavior

Outputs

• A pass, fail, or improve decision
• Revised or corrected outputs
• Quality scores and notes
• Lessons to store in memory

Failure modes

• Approving work that misses the brief
• Endless revision loops with no exit
• Checking style but not substance
• Discarding the lessons evaluation produced