Turning a Design Brief Into an AI Image: A Prompt Method and a Review Process You Can Reuse
October 5, 2026 4 min read
The fastest way to get a usable image out of a text-to-image tool is to write the brief down before you write the prompt. A short plain-language brief — what the image shows, who it is for, where it will be placed, what mood it should carry — gives the prompt its parts, and gives the review process something concrete to check against. Everything below is a working method, not a set of tested results: the specific behaviors cited come from SentX's own product pages, and the quality judgments are yours to make on each output.
Two practical conditions come first. Media generation requires sign-in, even though anonymous chat works without one. And a registered account includes one generated image, available once — further image uses draw on a wallet balance unless an eligible Plus allowance applies. These are one-time grants, not daily free media. Check your own account for the remaining allowance before planning a project that needs several passes, because iteration is part of the method.
What goes in the brief?
Write five lines, one per item:
- Subject: what the image actually depicts, in concrete nouns.
- Purpose and audience: what the image is for — concept art, a mockup, a social graphic, a hero image.
- Mood and style: the feeling and the visual register, photographic, flat vector, painterly.
- Framing: square, portrait, or landscape, chosen from where the image will sit.
- Visible text: any words that must appear, written out verbatim.
How do you build the prompt from it?
The image generator's own page describes prompts in terms of subject, style, mood, and framing, and its documented loop is simple: write the prompt, generate, revise, regenerate. Lighting is the fifth element worth naming deliberately, because it does most of the mood work. A prompt assembled from the brief looks like this, using a made-up example of a landing-page hero for a specialty coffee brand:
| Element | Example from the brief |
|---|---|
| Subject | A single ceramic cup of black coffee on a light oak table, a few scattered beans |
| Style | Clean product photography, shallow depth of field |
| Mood | Calm, warm, early morning |
| Framing | Landscape, open space left of the cup for a headline |
| Lighting | Soft window light from the left |
| Visible text | None in the image; copy added later in layout |
That last line is a decision, not an afterthought. If the design needs words inside the image, put them in the prompt exactly as they should read — text rendered by the model is the first thing to check for misspellings. If the words will be added in a layout tool later, say so in the brief and keep the prompt text-free.
One more habit from the access page: memory is selective, so restate the important details of the brief in each request rather than assuming the earlier context carried over.
How should you review the output?
Before regenerating anything, check four things against the brief:
- Subject match. Does the image depict what the brief says, with nothing substituted or dropped?
- Composition at target size. Crop it to the actual placement — a thumbnail that reads well can fall apart at banner width, and the negative space may land where you need it to.
- Text. Zoom in and read every letter. Generated text is where silent failures hide.
- Mood and style fit. Would someone who saw the brief recognize the result as answering it?
Treat these checks as a gate, not a formality. The product page documents the formats and the workflow; it does not establish output fidelity, and it states that use of generated images is subject to its terms without granting exclusive copyright. In practice that means every output is a candidate you inspect, not a finished asset you assume.
How do you iterate without burning the allowance?
When an output misses, change one variable per pass — the lighting, or the framing, or the style adjective — and regenerate. Changing everything at once tells you nothing about which change worked, and each change costs a generation you may not have free. Comparing two or three directions in plain writing before generating the first image is nearly free and usually kills the weakest option before it spends anything.
What stays out of the brief?
The published privacy policy says submissions are not confidential: retained interaction representations can enter shared memory, submitted information can influence other users' interactions, and account deletion does not promise removal of material already incorporated into shared memory or model weights. That is a description of the policy, not a legal conclusion, but it sets a clear working rule — describe what you need visually, and leave client-confidential specifications, personal data, and unreleased product details out of both the brief and the prompt.
The written brief pays for itself at the end of the loop. When a review fails, the brief tells you whether the prompt missed the intent or the generation did, which decides exactly what to change next.
Sources
- SentX AI Image Generator — SentX
- SentX access and media allowances — SentX
- SentX Privacy Policy — SentX