Reverse-engineer the prompt

Look at a real screen and reconstruct the spec that produced it — graded instantly by AI.

Train the core product-engineering skill: seeing a UI and articulating the requirements behind it
Instant AI grading across all six spec dimensions, with a written rationale
Every submission is saved to your activity record

From screen to spec

Every screen you use was once a spec. Reverse-engineer flips the usual direction: study a screen in one of the real apps under test, then reconstruct the spec that would produce it.

The six dimensions

Your submission has six required sections:

1. One-line prompt — the single "Build a…" sentence behind the feature

2. Personas & jobs-to-be-done — who uses it, and what job it does for them

3. Requirements — functional and non-functional, as implied by the UI

4. Data model — the entities, fields and relationships the screens imply

5. Edge cases — the boundary and error situations the builder had to handle

6. Acceptance criteria — testable statements that verify it works

You can attach a screenshot of the screen you studied (optional, but useful evidence).

Instant AI grading

On submit, AI grades all six dimensions against a 100-point rubric — completeness, plausibility, insight — and returns your score and a rationale immediately. The submission is saved to your activity record; then pick another screen and go again.

How to score well

Look past the pixels: every dropdown implies a data model, every error message implies an edge case.
Make requirements testable — "loads fast" is weaker than "list renders under 200ms for 1,000 rows".
For the data model, name entities and relationships explicitly ("an Order has many LineItems").
Acceptance criteria should read like a checklist a QA engineer could execute.

The journey, step by step

Step	What you do	What you get
Pick a screen	Choose one of the apps under test and study a screen in it	A real, live feature to deconstruct — optionally attach a screenshot
Write the spec	Fill all six sections, from one-line prompt to acceptance criteria	A complete reconstruction of the spec that would produce this feature
Submit	Submit for AI grading	A /100 score and rationale, instantly
Iterate	Read the rationale, pick another screen, go again	Each rep sharpens how you see requirements hiding in interfaces

Frequently asked

What exactly am I reconstructing?

The spec behind a screen: the one-line prompt, who it's for and what job it does, the requirements the UI implies, the data model behind it, the edge cases handled, and acceptance criteria to verify it.

How is it graded?

AI grades all six dimensions against a 100-point rubric — completeness, plausibility and insight — and returns a score plus a written rationale immediately.

Do I need a screenshot?

No, it's optional — but attaching the screen you studied helps ground your submission and any later review.

Why does this skill matter?

Articulating precise requirements from a working product is the heart of product engineering — and of directing AI tools well. If you can spec what you see, you can spec what you want built.