Problem
Many users know what they want from an AI tool, but struggle to describe it clearly. The issue is usually not a lack of ideas. It is a lack of structure: context, goal, audience, tone, format, and constraints.
What was built
PromptLab guides the user through questions and assembles a clearer prompt according to a set of rules. The logic layer stays separate from the interface, which makes it easier to add saved prompts, authentication, or model-specific variants later.
How the system works
- Basic mode guides less technical users through a simple question flow.
- Advanced mode gives faster users more precise control over the structure.
- The form captures the goal, context, audience, tone, output format, and constraints.
- Heuristics estimate input quality without pretending to measure actual model accuracy.
Operational value
PromptLab shows how important a strong input is before any automation layer is added. If the starting description is unclear, even the best AI step will not deliver useful output consistently.
PromptLab is intentionally a frontend MVP. Instead of passing a poor input straight to a model, the app helps the user shape a better prompt first.
