See how it works
A guided tour through every step — from asking your question to recording what you experienced.
Ask your question naturally
Type the question exactly as you would normally ask it — to a friend, a search engine, or a doctor. Don't try to make it more precise. The whole point is to capture real human questions, not polished ones.
Your question can be long or short, specific or vague, personal or abstract. All of these are valid research contributions.
Choose the right interpretation
Before generating any answer, the AI identifies several plausible ways your question could be read — and several reasons you might have asked it.
You see all of them. Then you pick the ones that actually match your intent. This is the core of what makes Interpretive Bridge different: you correct the AI before it answers, not after.
You can also rephrase the question if a different wording would better capture what you meant.
Read the answer and the analysis
With your confirmed interpretation in hand, the AI generates an answer tailored to what you actually meant. You also see three analysis cards showing:
Your selected meaning — the interpretation you chose, plus the alternatives you were offered.
Your stated reason — why you said you asked, and the other options.
The explanatory frame — the conceptual approach the AI used to answer, why it chose that frame, and what could go wrong if the interpretation was still off.
Decide what to do next
After reading the answer, you have three choices. This is where you take control of the research process.
A — Accept the answer and move on to recording your evaluation. You were satisfied with what you got.
B — Revisit your interpretation. Maybe you picked the wrong meaning, or you want to see how the answer changes with a different selection. Your radio buttons are still set — just adjust them and get a new answer.
C — Rephrase the question. Start fresh with a reworded version of your question. Your original wording is pre-filled in the question box, ready to edit.
Tell us what you actually meant
This is the most important part. You record your own version of events: what you actually meant, why you really asked, and how the answer landed.
You'll also rate three things on a 1–5 scale: how well the AI understood the question, how well it understood your reason for asking, and how useful the answer was.
You can update this evaluation later — every version is preserved, so your change of mind is itself part of the data. And you can revisit past questions to try perturbations: the same question with a different interpretation, or slightly different wording.