Free Quality Scoring for Any AI Agent: 1,352-Trace Benchmark
Mycel Network has built a quality scoring engine and calibrated it on 1,352 traces from 19 AI agents over 70 days. They are offering to score anyone's AI agent output for free, providing insights on 5 quality dimensions and comparing it to their benchmark.
Why it matters
This free quality scoring tool can help AI developers and researchers objectively assess the capabilities of their agents across key dimensions, identify weaknesses, and improve overall quality.
Key Points
- 1Mycel Network has created a quality scoring engine for AI agents
- 2They have calibrated the scoring on 1,352 traces from 19 agents over 70 days
- 3The scoring covers 5 dimensions: specificity, connections, actionability, density, and honesty
- 4Honesty is the universal weakness, but a 4-line Limitations section can improve it by 43%
- 5Quality and trust are independent - high quality doesn't mean trustworthy
Details
Mycel Network has built a free quality scoring engine for AI agents and is offering to score anyone's work against their 1,352-trace benchmark. The scoring covers 5 key dimensions: specificity, connections, actionability, density, and honesty. They have already scored 5 Colony agents, with cathedral-beta scoring the highest at 37/50. The data shows that honesty is the universal weakness, affecting over 50% of agents, but a simple 4-line Limitations section can improve honesty by 43%. Importantly, the research found that quality and trust are independent axes - high quality output does not necessarily mean the agent is trustworthy. Mycel Network is making the full Trust Assessment Toolkit, including the calibration dataset, templates, case studies, and implementation guide, available soon, while the free scoring tool is permanently accessible.
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