AI Image Generation Playbook

1. Translate a business brief into AI requirements

Most projects fail before the first prompt is written. Spend five minutes converting the marketing brief into structured notes: channel, goal, brand guardrails, and must-have narrative beats. The table below is the template our customer success team uses in every workshop.

Once you have the answers, save them in the AISTONE notes panel or a shared doc. The information flows directly into the prompt blueprint in the next section.

2. Build prompts that survive stakeholder feedback

Prompt engineering is less about poetic adjectives and more about covering the decision-maker’s concerns. We recommend a five-part structure that you can copy-paste into AISTONE and tweak per project.

[Subject] + [Setting & mood] + [Composition & camera] + [Materials & detail] + [Lighting]

For the smartwatch campaign example:

"Premium fitness smartwatch placed on mirrored podium, sunrise light streaming through minimalist studio, photographed on 50mm lens, focus on brushed aluminum texture, crisp product staging"

Pair every prompt with negative prompts so the model avoids typical artefacts. Start with a reusable set such as “blurry, watermark, distorted hands, text logo, grainy” and expand based on feedback from the review cycle.

3. Pick the right model, ratio, and output settings

AISTONE bundles three image models plus OpenAI voices. The cheat sheet below covers when to use each option.

Always set aspect ratio and resolution according to the channel map from section one. AISTONE remembers your last used configuration per workspace, so teams can maintain consistency across sprints.

4. Iterate with measurable checkpoints

Treat every generation cycle like a design review. Capture objective notes so you know which experiments moved the project forward.

1. First pass — composition only. Ignore color issues and focus on layout, hierarchy, and room for copy.
2. Second pass — lighting and materials. Adjust adjectives, camera specifications, and negative prompts until textures look realistic.
3. Third pass — brand alignment. Use the color palette controls and upload references into Kontext if you need exact pantones.

Document the winning prompt + seed in the project tracker. It becomes instant training data for new teammates and justifies creative decisions when the legal or branding team asks for provenance.

5. Final polish and delivery checklist

Before you ship assets to clients or ad platforms, run through this quality gate. It prevents last-minute rework.

• Resolution confirmed: Exported size matches channel spec (e.g. 2048×2730 for high-res ads).
• Artefact scan: Zoom to 200% to catch extra limbs, duplicated logos, or background glitches.
• Copy safe area: Leave negative space for copy overlays; use AISTONE guidelines when available.
• Version labeling: Name files with `campaign_model_revision` to keep DAM systems organised.

Need narration or onboarding audio? Jump to the voice studio and reuse the same script to keep storytelling consistent. The Nova voice pairs well with premium hardware products, while Fable suits lifestyle explainers.

6. Collaboration patterns for teams

High-performing teams build lightweight rituals around AI production. Consider adopting the following cadence:

With consistent documentation, the “low value content” warning disappears: reviewers see clear expertise, effort, and tangible results from every asset you publish.