A rule-based review separates instruction components and calls no remote model.
AI Response Evaluation Rubric
Creates a reusable Markdown rubric from a task and `criterion|weight|review question` rows, validates total weight, and structures human review. It does not automatically score responses or guarantee accuracy, safety, or model quality.
What does this tool do?
Build task-specific criteria, weights, and a four-level human evaluation rubric.
The result will appear here.
AI Response Evaluation Rubric: method and usage
Creates a reusable Markdown rubric from a task and `criterion|weight|review question` rows, validates total weight, and structures human review. It does not automatically score responses or guarantee accuracy, safety, or model quality.
an instruction with an explicit goal, audience, context, constraints, and expected output format Confirm the shape first with a small example containing no personal data.
an editable prompt draft, coverage metrics, and explicit improvement actions
Practical steps
- Describe the task and target user.
- Write every criterion with a weight and auditable review question.
- Make weights total 100% and test reviewer agreement on real examples.
model testing with representative normal, missing-context, conflicting, sensitive-data, and prompt-injection cases
The tool calls no remote model and neither generates nor verifies model output.
Suitable use cases
- Model-response quality review
- Consistent evaluation across teams
- AI regression test planning
Guides for this tool
Making Decisions Auditable: Loans, AI Rubrics, and CSP
Transparent formulas, weighted human evaluation, and staged CSP adoption for higher-impact decisions.
Read guide →Token and Context Budgets: A Practical System-Prompt Checklist
Turn system instructions, history, sources, user input, output, and safety margin into a measurable context plan.
Read guide →Frequently asked questions
What input does AI Response Evaluation Rubric accept?+
an instruction with an explicit goal, audience, context, constraints, and expected output format Describe the task and target user.
What does AI Response Evaluation Rubric return?+
an editable prompt draft, coverage metrics, and explicit improvement actions A rule-based review separates instruction components and calls no remote model.
How should I validate AI Response Evaluation Rubric output?+
model testing with representative normal, missing-context, conflicting, sensitive-data, and prompt-injection cases
Does AI Response Evaluation Rubric send or store input on a server?+
Tool input is processed in the active tab. Saving to the Workstation or transferring to another tool is a separate choice. Consider browser extensions and shared devices separately; the privacy page explains advertising and network connections.