UVP Prompt Lab
See how stronger prompts are built.
Enter a rough instruction, choose a task family, and move the depth slider from Basic to Master. The public lab shows how structure, context, safeguards, and review steps improve AI-assisted work.
Prompt Builder Preview
Turn a rough request into a clearer working prompt.
This preview shows how role, goal, context, safeguards, source expectations, output shape, and review steps can make AI-assisted work clearer and more dependable.
Your rough instruction
Adds evidence/source rules, process, assumptions, and review.
Structure preview
Advanced prompt structure
MISSION Create a small customer intake app for a local service business. TASK FAMILY Product Design CONTEXT [Relevant background, user/audience, current state, and why this matters] CONSTRAINTS - Preserve explicit user requirements. - Do not invent unsupported facts or requirements. OUTPUT [Define the final deliverable, format, and intended use] SOURCE / EVIDENCE RULES - Use supplied sources before relying on general knowledge when the task depends on them. - Separate confirmed facts, assumptions, and recommendations. - Mark missing evidence rather than filling gaps. PROCESS 1. Confirm the objective and available inputs. 2. Identify material ambiguities and risks. 3. Execute the task in a sensible order. 4. Review the result against the requested outcome.
Privacy note: this public preview is generated in your browser and does not send this text to UVP. It shows practical prompt improvement examples for learning and review.
UVP master-prompt standard
Longer is not automatically better.
Mission clarity
State what the system must actually accomplish.
Context preservation
Keep the facts, names, constraints, and decisions that matter.
Safeguard control
Say what must not be invented, changed, exposed, or assumed.
Execution logic
Give complex work an order rather than a pile of instructions.
Verification
Define how the result will be checked instead of trusting confident output.
Honest uncertainty
Separate facts, assumptions, estimates, and unresolved questions.
What comes next
More guidance and saved examples are planned.
Better rewriting support
Future improvements will help rewrite the same request for different audiences, depth levels, risk levels, and source expectations.
More examples and checks
Future examples will show how to compare AI outputs against clear expectations before relying on them in important workflows.