[Beta] AI Agent Evaluation Harness - catch hallucinations and prompt drift before production

Looking for beta testers for our AI agent evaluation harness.

It runs 15 automated checks on every LLM output:

• Factual consistency cross-referencing
• Prompt drift detection (quality degrading over time)
• Cost anomaly detection (unexpected API bill spikes)
• Hallucination pattern matching
• Format compliance checking

We built it after finding that ~8% of our AI agent outputs had subtle factual errors that looked correct but weren't. After deploying the harness, our failure rate dropped to under 1%.

Currently available as a bundle ($99) at rankedtoolkit.com/products/agent-eval-harness-bundle/

Includes the harness code, Grafana dashboard templates, production configs, and CI/CD integration.

Would love feedback on:

• What checks are you running on your AI outputs?
• What would you add to the evaluation pipeline?
• Is the $99 price point right for this?

Happy to answer any questions about the implementation.