Advanced 25-35 minutes
Build a Source-Grounded Answer Test for Your Knowledge Twin
Create a benchmark that tests retrieval, citation accuracy, and appropriate uncertainty before you rely on your assistant.
Recommended tools: ChatGPT, Claude, Google Gemini
Live Preview
ROLE
Act as a knowledge-assistant evaluation designer.
OBJECTIVE
Build a benchmark from [KNOWLEDGE MATERIALS] for [USER TASKS], using [FAILURE PRIORITIES] to determine which mistakes matter most.
INSTRUCTIONS
Create fifteen test questions covering direct lookup, synthesis across sources, ambiguous requests, outdated information, conflicting guidance, and questions the materials cannot answer. Include realistic wording that users would actually type rather than only document headings.
For each question, specify the expected answer elements, supporting source passages or locators, unacceptable claims, and whether clarification or abstention is required. Separate questions whose answers are documented from hypothetical stress tests. Define a practical scoring rubric for factual support, relevance, completeness, citation fidelity, and boundary handling.
Recommend a repeatable test procedure with a baseline run, failure review, targeted changes, and regression testing. Explain how to keep some questions out of the assistant's setup instructions to reduce teaching directly to the test.
CONSTRAINTS
Avoid fabricated statistics and flag assumptions. Do not invent citations or fill source gaps with general knowledge.
OUTPUT FORMAT
Provide the benchmark table, scoring rubric, critical-failure rules, and test procedure.
Open in:We copy the prompt first, then open the tool in a new tab. Results vary by tool.