Running Referee as a service, AI Evaluation Observability

Referee Agency Implementation, Monetizing AI Quality Assurance

Learn how to package Referee's multi-model evaluation and evidence-based verdicts into retainer services for clients who need reliable AI outputs. This course covers setting up custom quality standards, running competitive model panels, delivering decision-grade recommendations, and building recurring revenue from AI quality assurance.

Open the decision record for Referee

What does running Referee for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Entry tier pricing starts at $49/month (vendor cost, not including LLM API usage).
Time to first value
Not published (setup complexity: medium, time to value: hours)
Payback
Not modeled
Guided implementation
8 hours

Is Referee worth running as a client service?

Referee offers a unique validation capability for AI outputs, but its suitability depends on the agency's technical expertise and client demand for rigorous quality assurance. Pricing data is insufficient to model ROI.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • Referee account (entry tier)
  • APIs for at least 2-3 LLM providers (e.g., Anthropic Claude, OpenAI GPT, Google Gemini)
  • Project management software (e.g., Asana, Trello) for client workflow tracking
  • Version control (e.g., Git) for managing proof formalizations

People and inputs

  • Technical staff with API integration skills (setup_complexity: medium)
  • Access to LLM provider APIs and necessary API keys
  • Documentation of Referee's workflow and standards

Included with the course

7 working documents for delivering this service.

  • Quality Standard Definition Worksheetworksheet
  • Client Onboarding SOP for Referee Matchessop
  • Multi-Model Panel Configuration Templatetemplate
  • AI Output Audit Checklistchecklist
  • Retainer Service Pricing Guideguide
  • Evidence Gap Analysis Report Templatetemplate
  • Formal Proof Delivery Workflowsop

Listed by name. These documents are not yet published as individual downloads.