ChatGPT AI Guide: Turn Flat-Lay camisa Images Into Buying Questions

Use the assistant to convert a listing image into a question list rather than a predicted body fit. The useful output separates visible garment features from arranged or hidden regions and connects each important uncertainty to a real chart field or photograph. This makes the image useful without treating a tabletop outline as a dimensioned garment drawing or a promise about the way it will sit on a wearer.

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.

• Actual listing images and visible/hidden regions
• Product-specific chart definitions
• Reliable reference garment measurements

Fictional input: a flat lay looks narrow at the waist, both sleeves are partly folded behind the body and the lower hem is not fully shown. The buyer has the exact product chart but no calibrated measurement photograph.

Copyable master prompt

Use these shirt listing images to produce questions, not a predicted body fit. Describe only clearly visible features, identify hidden or arranged regions and connect each important uncertainty to a product-chart field or a real photograph needed. Do not estimate garment dimensions from pixels, infer body size or invent fabric performance. Keep the exact product identity attached to every observation. Return visible feature, evidence limit, buying question and required chart or real view. Do not estimate dimensions from pixels or infer fit from the arranged outline. 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 worksheet should not turn the narrow appearance into a slim-fit claim unless the record actually states it. It also should not infer softness or stretch from the image. A useful response makes the next source check specific enough to perform instead of expanding into a confident imagined description.

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.

Audit every fit and dimension statement. Retain only supplied product wording and actual chart values; turn image-based estimates into questions.

Shorten the question list to the three uncertainties that could change this purchase. Preserve which actual product each question refers to.

Review the output before using it

• No pixel-to-size inference
• Views refer to same product
• Preference not mistaken for listed fit

Check that your preferred silhouette has not been copied into the product-fact column. A wish and a listing claim need separate labels.

Limits and the next real-world step

If a decisive measurement remains missing, ask about the exact style or use another confirmed option. A generated worn view cannot supply the physical dimension absent from the record.

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 A Flat-Lay camisa Is Not a Body: Use Listing Shape Without Guessing Fit 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.