Review a conversation sample and its message patterns →
Paste a prepared sample with speaker aliases to count its messages locally. Use the counts alongside your own observations and questions about the conversation.
Conversación en Claro
Paste a prepared sample with speaker aliases to count its messages locally. Use the counts alongside your own observations and questions about the conversation.
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Your conversation review brief and local message counts
Your conversation review brief and local message counts
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Sources used in our guides.
Semantic AI analysis requires a connected model and a disclosed data-handling policy. This questionnaire creates an analysis brief; it does not read messages or generate an AI assessment. Message counts, response times and inferred tone cannot prove feelings, deception, diagnoses or compatibility.
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Choose relevant material and remove unnecessary personal details before analysis.
Use evidence, alternative readings and uncertainty to review an analysis result.
Prepare a specific question or request without accusing someone of an inferred motive.
Compare manual timelines, message counts and AI-assisted review. Learn what chat data cannot prove about feelings or intent.
Definitions to understand the terms used in our guides.
A statement about wording or an event that can be checked in the supplied conversation sample.
A possible interpretation drawn from observations; it is not direct proof of someone’s intention or feelings.
The portion of a conversation and surrounding events included in a review, with any important omissions identified.
A consistent substitute name used to distinguish participants while reducing unnecessary identification.
Another plausible interpretation to consider before treating an ambiguous message as having one settled meaning.
Prepare a relevant sample, distinguish observations from interpretations and choose a respectful next question.
Multiply the number of excerpts by the minutes you want to spend reviewing each one.
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