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Agent Playbook

Browse agentic AI tasks that instruct LLMs to carry out specific jobs.
These can be integrated into existing workflows in your apps and tools.

Claims Policy Verification

Claims Triage

Claims Fraud Analysis

Customer Query Categorisation

Policy Comparison

Damage Assessment from Images

Insurance Needs Analysis

Policy Renewal Recommendation

Claims Status Update

Compliance Documentation Check

Claims Documentation Validation

Query Triage and Escalation

Content Moderator

Image Quality Assesment

This agentic AI task evaluates product image quality - essential for content quality agents. The task configuration outlines how to:

  • Assess image technical quality and composition

  • Verify compliance with marketplace standards

  • Identify visual quality improvement needs

  • Generate standardised quality metrics

  • Provide specific enhancement recommendations


As a modular task, it integrates with content management and listing systems, enabling AI agents to execute systematic image evaluation within existing e-commerce workflows. The task specification includes outputs for quality assessment, compliance verification, and improvement guidance, adaptable across various marketplace contexts and visual standards.

Example outputs:

{
  "overall_quality_score": "7",
  "resolution_assessment": "High",
  "composition_rating": "Good",
  "standards_compliance": "Partially Compliant",
  "identified_issues": [
    "Slight shadow on the left side of the product",
    "Background not pure white as per marketplace standards",
    "Product label not fully visible"
  ],
  "improvement_suggestions": [
    "Adjust lighting to eliminate shadows",
    "Use a pure white background for full compliance",
    "Reposition product to ensure full visibility of the label",
    "Consider adding a softbox to diffuse lighting and reduce reflections"
  ],
  "meets_marketplace_requirements": true,
  "additional_notes": "While the image meets the minimum marketplace requirements, there's room for improvement in terms of background colour and product positioning. The high resolution and overall good composition are positive aspects."