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LV2 · Toolooo Standard
Explore → See → Understand → ActUnderstand it. Feature Level describes the depth of the tool experience.

LLM Eval Case Builder

Design and edit local evaluation case templates with explicit expectations, review notes and JSON export.

EngineeringBackendAPIValidationAI
🔒Your tool inputs are processed in your browser and are not uploaded or sent to analytics.

Design draft evaluation cases locally. This tool does not call, run or grade an LLM. A representative seed keeps cases connected to your feature.

Case categories
Format, constraints, labels and languages enable their relevant categories. Scope and safety require opt-in. Maximum one draft per category; adapt or remove irrelevant drafts.

Load the example or describe a feature and seed input. Text stays in memory; copy and export are explicit local actions.

Evaluation design and grading guidance
What this tool does and why

Before you start

What

Design and edit local evaluation case templates with explicit expectations, review notes and JSON export.

Why

Evaluation is useful only when representative inputs and reviewed expectations expose real failure modes; a generated template is not evidence that a model passed.

Your Result and Action update in the tool as you change its inputs.

Model note

This browser-side model explains the inputs you choose. Check an important decision against the real system, brief, or production constraints.

Next

Use the result to choose a connected next move.

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How this tool stays honest

How it works

Describe an AI feature and representative input to draft happy-path, ambiguity, context, format and failure probes. Select applicable categories, inspect and edit each case, and export a bounded test-design pack without calling a model or inventing ground-truth answers.

Assumptions

The tool runs in your browser and models the information you provide. It does not know facts outside that model.

Limitations

This deterministic test-design tool does not run or grade models. Drafts require relevance review and an explicit rubric; translation, classification boundaries and safety templates need manual completion. No exact answers are inferred.

Understand LLM Eval Case Builder

What this tool helps you understand

Describe an AI feature and representative input to draft happy-path, ambiguity, context, format and failure probes. Select applicable categories, inspect and edit each case, and export a bounded test-design pack without calling a model or inventing ground-truth answers.

When to use it

Before testing an AI feature against reviewed expectations.

Try a scenario

Draft boundary and failure cases for a classifier, then supply a human-reviewed rubric. Exporting cases does not run or grade a model.

How to read the result

Edit probes and pass criteria into observable assertions, complete every unfinished template, then run the reviewed pack in your own evaluation harness and inspect actual results.

Assumptions and limits

This deterministic test-design tool does not run or grade models. Drafts require relevance review and an explicit rubric; translation, classification boundaries and safety templates need manual completion. No exact answers are inferred.

Toolooo is part of Khizooology, created byKhizar Imtiaz (khizooo).