Action / Business automation and AI evaluation
Draft a recurring AI quality evaluation Action
Draft recurring AI quality evaluation in Proforma. Preserve cases, versions and scoring rules, then review cadence and costs before enabling a schedule.
AI quality lead
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Your starting prompt.
Draft an Action that evaluates [AI workflow version] on [reviewed sample] using [fixed scoring rules]. Preserve case, prompt, model and rubric references; record actual failures, costs where available and quality measures by relevant slice. Propose [cadence and timezone], a review owner and an execution cost ceiling. Keep it unscheduled until release approval. Do not modify production prompts, retrain models or send alerts without separate configured authority.
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Method and review
Keep the assumptions visible.
Define inputs, outputs, permissions and failure conditions before implementing an Action. Evaluate AI against representative labeled examples and retain human approval for consequential steps.
For this task, check
The AI owner should check sample representativeness, leakage and cost controls before approving a recurring evaluation.
This starting prompt has no published worked example yet. Begin with a small sample and check the calculations before relying on the result.
Before you begin
- Reviewed evaluation cases and scoring rules
- Configured Action and AI runtime with permitted data
- Approved deployment and cost review before scheduling
Repeat execution requires a configured Action. Agree the scope and authority before any external changes or messages.
Take the next step
Make it your investigation.
Copy the prompt above, create or open your Workspace, and paste it into Chat. Add the inputs you have permission to use and adapt the assumptions with your agent.
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