Natural language is ambiguous—it contains hidden implications, assumptions, and layers of intent. The slightest ambiguity in prompts can mislead AI, while too much detail can confuse models.
This prototype helps users identify ambiguity and create precise prompts by making implicit language explicit.
How it works
1.
Start with a Rough Prompt
Write naturally without worrying about clarity.
2.
Analyze Interpretations
The LLM surfaces possible meanings and shows the user its own interpretation.
3.
Align Your Intent
Highlight what matches with your expectations and eliminate ambiguity.
4.
Iterate
Refine until the prompt contains exactly what's meant.
Future tools will evolve prompting from trial-and-error to interactive refinement, where AI doesn't let users do all the heavy lifting, but helps them co-create.