AI image generation: turn a brief into a finished asset

Start with a brief, not a prompt

AI image generation works better when you treat it like a compact creative workflow rather than a slot machine. OpenAI's image generation guide describes generation and editing capabilities, output options and practical limitations. The important habit is to decide what you are making before you spend iterations: subject, audience, format, constraints, acceptable artifacts and where the image will appear. A prompt is one part of the brief, not the whole plan.

The brief template

Goal: hero image for a tutorial about secure AI workflows
Audience: technical readers, not a marketing landing page
Format: 16:9 web image, room for text crop on left
Subject: desk with laptop showing abstract workflow diagram
Mood: calm, precise, modern
Avoid: fake logos, unreadable tiny text, dramatic cyberpunk lighting
Must check: no brand marks, no distorted hands, no misleading UI

This kind of brief keeps the model and the reviewer pointed at the same target. It also makes rejection easier. If an image is beautiful but unusable for the crop, it fails the brief.

Generate in rounds

Use small rounds. First round: explore composition. Second round: refine the best direction. Third round: fix specific issues with editing. OpenAI's guide notes that image systems have limitations, including text rendering and complex composition challenges. Plan for review. Ask for fewer things per image when details matter. If the final asset must show exact product UI, use a real screenshot or designer-made mockup rather than asking a model to invent interface details.

Edit with surgical instructions

Editing should describe the change, the region and what must stay unchanged. Bad edit request: make it better. Better: remove the extra keyboard cable, keep the laptop position and lighting unchanged, and leave the empty area on the left side clean for headline text. Track which generated image was used as the base. Save prompts and edit notes with the asset so another person can understand how it was made.

Cost and latency checks

Image generation can have different pricing and latency characteristics from text calls. The official OpenAI pricing page is the place to check current rates before planning a large batch. For internal planning, use a hypothetical worksheet: number of concepts times images per concept times edit rounds times expected reruns. Then add review time. A cheap generation is not cheap if a designer spends an hour repairing avoidable prompt ambiguity.

Problems to check

• Prompt drift: each retry changes the concept instead of improving the selected direction.
• Text artifacts: signs, labels or UI text look plausible but are wrong.
• Brand risk: outputs resemble a real logo, product or person when that was not intended.
• No crop plan: the image works square but fails in the actual page slot.
• Untracked edits: nobody knows which prompt produced the approved asset.

Next steps

For your next image, write the brief first and generate only three initial directions. Pick one based on the final placement, not on novelty. Make two targeted edits, then stop and review against the brief. If the image still fails, rewrite the brief instead of endlessly nudging the same prompt. Save the approved asset with its brief, output settings and final placement.

Asset acceptance checklist

Before publishing, inspect the final image at the actual display size and at a zoomed-in size. Check faces, hands, text, logos, reflections, background objects and crop safety. Confirm that the image does not imply a real endorsement or show a product state that does not exist. Write a short alt-text draft while reviewing; if you cannot describe the image accurately, the concept may still be muddy.

Version names

Name files by concept and round, not by vague labels such as final2. A useful name might be secure-workflow-hero-r2-edit1.png. Keep the approved prompt beside the exported asset. This makes later revisions faster and prevents accidental reuse of rejected directions.

Team review

Have one person review for creative fit and another review for factual or brand risk. Different eyes catch different problems, especially when an attractive image contains a subtle false detail.

Check the asset at its actual placement

For the hypothetical tutorial hero, preview the image at desktop width and at the mobile crop before approving it. Add the real headline over the preview to check legibility and available space. If the asset needs a transparent background, inspect it against both a light and a dark surface to catch unwanted borders. Keep the image at the resolution needed for the final slot, then compress an export for the web. Save the uncompressed approved original separately. Reviewers should see the asset in context, because an attractive full-size image can still fail when a page crops away the subject or places text over a busy area.

Sources and further reading

Documentation checked October 4, 2026. Product features and availability can change.

• OpenAI image generation guide
• OpenAI API pricing