Each result is organized to help you move from output label to recommendation, then to the signals that support it. Read the summary first, then check the detail sections for what is explicit, what is inferred, and what still needs verification.
How to read the results
Understand labels, trace recommendations, and check confidence and limits before you act.
See overviewHow to read the results
Recommendation signals
Treat recommendations as a structured readout, not a final verdict. Check which signals appear, how strongly they point in one direction, and whether any signal depends on context that is not fully captured.
Confidence and uncertainty
Use confidence as a guide to how stable the output appears, not as proof of correctness. Lower-confidence results should trigger closer review, more comparison, or a return to the inputs.
Caveats and limits
Look for what the result does not cover, including missing context, provisional assumptions, or data gaps. If a caveat changes the meaning of the output, treat the result as a starting point rather than a decision.
What to do after review
If the result is clear, use it to narrow your next comparison and document the reason it looked strong. If the result feels mixed, compare the underlying signals, revisit the inputs, or move to the comparison tool to test the alternative path.