ChatGPT AI Guide: Sort Conflicting Shirt Outfit Opinions

Use the chat to classify feedback before asking it to recommend a change. The output should distinguish an actual event instruction from an observable fit concern and from someone's taste. This gives the wearer a fair decision framework without turning the assistant into a voting judge. The goal is one useful comparison that addresses the wearer's priorities, not a new outfit assembled to satisfy every comment.

Prepare the input worksheet

Copy the relevant observations into a small labelled record before prompting. Keep source facts separate from your preferences and requested changes. Replace missing values with unknown rather than inviting the assistant to complete them from general knowledge.

• Exact feedback comments
• Verified event instructions
• Wearer's priorities and real outfit observations

Fictional input: one friend calls a printed shirt too decorative and another suggests more jewellery. The wearer wants the shirt to be the focus, owns suitable trousers and has no source establishing that extra accessories are required.

Copyable master prompt

Organise these comments about my shirt outfit into verified event requirements, observable fit issues and aesthetic preferences. Use only the event information and observations supplied. Do not judge bodies, invent dress codes or decide that the majority is correct. Suggest one practical comparison that addresses my stated priorities and list any question that needs a real answer. Return each comment, what it actually refers to, evidence category and relevance to the wearer's priority. Suggest one real comparison; do not invent a dress code or decide by majority. Use only the worksheet supplied below. Keep unknowns visible and do not add product specifications, prices, measurements or policies that are absent from it.

Filled fictional worked example

The following response is an illustrative teaching example. It is not a model test, a TryBuy product measurement or a claim that the assistant verified the physical garment.

The fictional output should not declare one friend's taste correct. It explains how both suggestions relate to the actual goal. If the assistant adds a product fact such as a silk composition from the garment's appearance, remove it from the style discussion and check the listing separately.

Follow-up revision prompts

Use one focused correction at a time. Paste the relevant row or sentence from the response, then identify what must change and what should remain intact.

Separate factual event requirements from inferred expectations and personal taste. Keep any actual fit observation specific to the area or movement described.

Reduce the recommendation to one real outfit comparison aligned with the wearer's priority. Remove added shopping tasks and body judgements.

Review the output before using it

• Requirements separated from taste
• No majority-vote authority
• Product facts verified outside opinions

Read the final reason in the wearer's terms. It should explain comfort, suitability and chosen emphasis rather than defer to the loudest or most numerous opinions.

Limits and the next real-world step

If a real event requirement is decisive and unknown, ask the organiser. The assistant can phrase that question but cannot make an assumed rule authoritative.

The assistant can organise the information you provide; its response is not independent evidence of current stock, exact fit, material performance or store terms. Check the actual listing or physical garment for those decisions. For an image task, written observations can supply the worksheet; this guide does not require or promise an automatic image-editing feature.

Save the final checked worksheet with its source notes, not only the last chat reply. When a fact changes, update that field and ask for the affected part to be revised. Keep the earlier record labelled so that an outdated observation does not quietly return as current evidence.

Use the practical method in Two People Disagree About Your Shirt: Turn Opinions Into a Buying Decision to collect the real observations first. For related background, consult the relevant TryBuy shirt guide, then return to this worksheet for the specific AI-assisted deliverable.