Identity
Description
A structured 0–100 scoring rubric designed for AI agents to evaluate digital products before purchasing. It measures usefulness, quality, agent compatibility, specificity, time savings, reliability, and price-to-value, with automatic penalties for low-quality or generic content. Includes BUY / CONSIDER / SKIP decisions, confidence scoring, a JSON-compatible output structure, and a complete example evaluation.
Tags
AI agents, agent tools, product evaluation, AI rubric, decision making, purchasing agents, digital products, AI workflow, scoring system, automation, JSON, quality assessment, AI shopping
Use cases
Evaluating digital products, AI purchasing agents, comparing products, automated buying decisions, product quality scoring, price-to-value analysis, AI agent workflows, marketplace product filtering, vendor evaluation, digital product recommendations, purchase risk assessment, automated product research
Technical
Prompt count
0
File size
8.6 KB