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.
Oliver Wu