How CharmCue reviews photos, profiles, and messages

Profile Studio

Photo observations and profile context use different evidence

Each submitted photo is reviewed for visual presentation, such as clarity, framing, lighting, expression, and context visible in that image, across nine visual categories. Set-level questions—such as whether a lineup repeats similar moments or how photos relate to the supplied bio and prompts—are considered from the full set and available writing, rather than inferred from one image.

When a needed detail is missing or cannot be judged from the submitted material, the result can say that there is not enough evidence. One photo cannot establish lineup variety. A small lineup limits what can be said about variety, and missing writing means photo-to-writing alignment cannot be assessed.

Scores and suggestions

Scores are estimates, not measurements of a person

A score summarizes the AI's judgment about profile presentation using the information provided. It is not independently calibrated against human ratings or dating outcomes. It does not measure attractiveness, worth, compatibility, or the likelihood of receiving a match, reply, or date. Small score differences should not be treated as meaningful proof of improvement.

Recommendations are generated by an AI model and can be incomplete, mistaken, or a poor fit for your preferences. Treat them as options to consider. You control edits, photo order, and whether to use any wording.

Conversation Coach

Drafts depend on the context you choose to share

Coach can help shape an opener, reply, invitation, or decline from the details you provide. It cannot know another person's hidden intent. It may recommend waiting, clarifying, or not replying; it never sends a message automatically. Review every draft and change it so it reflects what you mean.

Sample and AI labels

Examples on this site are illustrations

Public page examples are written by CharmCue and labelled as fictional illustrations. They are not customer stories or actual AI analysis results. In the product, sample analysis is labelled as a sample; requested results are labelled as AI analysis.