Prompt Lab
How your prompts are scored and improved.
- Measure a skill every 2026 employer expects: reliably great LLM output
- See a dimension-by-dimension score, not just a pass/fail
- Learn from an optimized rewrite of your own prompt, with rationale
Learn to drive an LLM
You're given a task; you write a prompt; miatz runs it and then scores the prompt against a rubric (clarity, context, constraints, output format, reasoning, grounding). You get a dimension breakdown, the techniques you used, and an optimized rewrite with rationale.
Why it matters
In 2026, "can you get great output from an LLM, reliably?" is a core engineering skill. The Prompt Lab measures and grows exactly that.
The journey, step by step
| Step | What you do | What you get |
|---|---|---|
| Get a task | Read the task the lab gives you | A concrete goal your prompt must achieve |
| Write a prompt | Draft the prompt you'd send an LLM | Miatz runs it for real |
| Get scored | Review the rubric breakdown | Scores for clarity, context, constraints, output format, reasoning and grounding |
| Study the rewrite | Compare your prompt to the optimized rewrite | You see exactly which techniques lift the score, and why |
Frequently asked
How is my prompt scored?
Against a rubric of clarity, context, constraints, output format, reasoning and grounding — with a dimension breakdown, the techniques you used, and an optimized rewrite with rationale.
Does the lab actually run my prompt?
Yes. Miatz runs your prompt and scores both the prompt and the outcome, so the feedback reflects real LLM behavior.
Why does prompt engineering matter?
Getting great output from an LLM reliably is a core engineering skill now. The Prompt Lab measures and grows exactly that.