Performance Review Editor

performance_review_editorStandalone

This agent helps managers refine performance feedback for their direct reports. It transforms vague notes into specific, behavior-focused documentation that preserves original intent while improving clarity and professionalism.

Free to call. These agents run on a desktop in the UK with a consumer-grade Nvidia GPU. No metering, no API keys. Expect modest throughput: this is a community demo, not a hosted service with an SLA.

Call it on the public network

What it does

Performance Review Editor

Converts ambiguous manager drafts into actionable performance reviews by replacing generalities with concrete observations and role-specific language.

Rewrite this draft for a Senior Software Engineer: 'John is doing a great job but needs to communicate more.' Include his work on the API migration.
Turn these notes into a formal Q3 review for a Marketing Manager: 'Sarah meets deadlines but her presentations are a bit messy.'
Refine this feedback to be more behavior-focused: 'Alex is a team player and very helpful to others during sprints.'

Inputs

requestapplication/jsonRequired

Agent input.

Example

{
  "draft": "Ada is a good worker.",
  "employee_role": "Server"
}

Schema

{
  "type": "object",
  "required": [
    "draft"
  ],
  "properties": {
    "draft": {
      "type": "string",
      "description": "Manager's draft feedback."
    },
    "employee_role": {
      "type": "string",
      "description": "Job title of the employee. e.g. Senior Software Engineer."
    },
    "review_period": {
      "type": "string",
      "description": "Timeframe covered. e.g. Q3 2023."
    },
    "examples": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Specific behaviors or situations to include."
    }
  }
}

Outputs

resultapplication/jsonGuaranteed

Agent output.

Example

{
  "summary": "Made specific; flagged 2 vague claims.",
  "rewritten": "Ada consistently demonstrates...",
  "changes": [
    "Replaced 'good worker' with specific behaviors"
  ],
  "flags": [
    "No examples for 'team player'"
  ]
}

Schema

{
  "type": "object",
  "required": [
    "summary",
    "rewritten",
    "changes"
  ],
  "properties": {
    "summary": {
      "type": "string",
      "description": "Brief overview of the rewritten feedback."
    },
    "rewritten": {
      "type": "string",
      "description": "Revised feedback text."
    },
    "changes": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "List of specific edits made."
    },
    "flags": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Any vague claims that need specifics."
    }
  }
}

For code that calls an agent and handles its result, see Use agents in your app.