How do I know if my decoded brief is specific enough?

If you can read your prompt aloud and a non-designer understands what will be made, it's specific enough. If it still contains words like 'nice,' 'good,' or 'modern' without context, it's not. Test: Can a colleague generate from your prompt and match your direction without asking questions?

What if the client gives me a mood board instead of a brief?

A mood board is actually a gift. Your job is to reverse-engineer it: What colors repeat? What photography style? What level of polish? What typography weight and sans/serif choice? Write down 3–5 visual patterns, then build your prompt around those patterns. A mood board is a decoded brief that someone else did halfway.

Should I use different prompt structures for Midjourney vs. DALL-E?

The 5-step brief-decoding process is the same. The prompt syntax differs. Midjourney favors stacked descriptors and parameters. DALL-E prefers natural language and longer explanations. Once you decode the brief properly, adapting the prompt to the tool takes 2 minutes, not 2 hours.

What's the fastest way to handle 'make it pop'?

'Pop' usually means contrast, saturation, or visual hierarchy. Ask: Pop against what? If it's a SaaS dashboard, pop means bright accent colors on a muted background. If it's an Instagram ad, pop means high saturation and bold typography. One follow-up question replaces 10 revision rounds.

Can I use the same decoded brief for multiple AI tools?

Yes. The decoded brief (the five-layer structure) is tool-agnostic. Once you have your anchors—color, style, mood, audience, context—you can generate with Midjourney, DALL-E, or Runway without re-decoding. You're only translating the syntax.

What to Type for AI

How to Turn a Vague Client Brief Into an AI Prompt That Actually Works

Name: Client Brief to Final Render: Prompt Formulas for Designers
Brand: What to Type for AI
SKU: WTTF-KPQ7WJ9WY-J-SSBKPG4AVA
Price: 29 USD
Availability: InStock

You get an email: 'make it modern and clean.' Your stomach sinks. You know this means 15+ revision rounds because the AI has no real direction—and neither do you, not yet.

The problem isn't your prompt-writing skill. It's that vague briefs stay vague when you feed them directly to AI. You need a decoding layer—a system that extracts what the client actually means, translates it into concrete visual language, and builds a prompt specific enough that the AI produces something you can defend.

This page shows you the exact 5-step process to go from 'modern and clean' to a detailed, tool-ready prompt in under 5 minutes.

Client Brief to Final Render: Prompt Formulas for Designers

$29

Pay once. Keep forever.

You send the client a first draft. They say 'it's close but not quite there.' Twelve rounds later, you've rebuilt it four times and billed for three. The problem isn't the AI — it's that 'modern and clean' was never a prompt. It was a feeling. This guide...

One self-contained PDF. No hidden files or separate templates.

Sample from the PDF

[subject + material], [setting + max 2 props], [brand ref + photography genre], [angle], [lighting direction + quality + temp], [1-word mood] --no [taboo list] --ar [x:y] --style raw" ═══════════════════════════════════════════

What's included

5-Step Brief Decoding Framework with 3 fully worked client brief examples (skincare, SaaS, restaurant)
Master Prompt Formula with structure explanation and 2 side-by-side generic vs. structured comparisons
4 tested, production-ready packaging prompt templates (luxury skincare, craft coffee, wellness supplement, beverage can)
3 tested web/UI mockup prompt templates (SaaS dashboard, mobile app lifestyle, e-commerce hero)
3 tested marketing collateral templates (DTC Instagram ad, Facebook lifestyle ad, B2B email header)
12-item Prompt Troubleshooting Checklist with exact before/after rewrites for each failure mode

Get it — $29 →

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Step 1: Isolate What the Client Is Really Asking For

A vague brief usually means the client is describing a feeling, not a design direction. 'Modern and clean' actually contains three separate signals: aesthetic (contemporary, not retro), visual weight (minimal clutter), and mood (professional, trustworthy). Your first job is to separate these. Ask yourself: Is 'modern' about the color palette, the typography, the layout, or all three? Is 'clean' about whitespace, about edge treatment, or about removing decorative elements? Write down the three things the client wants to avoid, not just what they want. This reframing forces specificity. A vague brief that says 'energetic and bold' means something completely different for a fintech app than for a yoga studio—and your prompt needs to reflect that category, not just the descriptor.

Step 2: Extract Brand and Context Anchors

Before you write a single prompt, you need three pieces of information: Who is the audience? What is the product category? What does the brand already look like? These aren't nice-to-haves. They're the scaffolding the AI uses to make real decisions. If the client says 'modern and clean' for a premium skincare brand, that's high-end minimal (Aesop, Glossier territory). If they say it for a startup SaaS, that's tech minimal (Figma, Notion). Same brief. Opposite visual language. Dig into the client's existing brand assets, competitor references, and audience demographics. Even one sentence like 'target audience is women 25–40, premium price point, Scandinavian aesthetic' transforms 'clean' from a guess into a direction.

Step 3: Translate Subjective Language Into Objective Visual Detail

This is where most prompts fail. Designers fluent in critique language ('luminous,' 'refined,' 'punchy') assume AI will understand the same way humans do. It won't. The AI needs concrete anchors: specific color ranges, material references, lighting scenarios, and compositional rules. Instead of 'clean aesthetic,' write 'maximum 3 colors, generous whitespace, sans-serif typography, flat illustration style, bright even lighting.' Instead of 'modern,' specify 'contemporary (2023–2024), no skeuomorphism, geometric forms, subtle shadows.' The best prompts include a style reference—not just 'modern' but 'modern, similar to Stripe's website design' or 'minimal, like Apple product photography.' These anchors collapse the interpretation gap.

Step 4: Build the Prompt With a Proven Structure

A working prompt has five parts in order: (1) Subject or deliverable (what are we making?), (2) Visual style and mood (the aesthetic anchors you defined), (3) Specific details (color, composition, materials, lighting), (4) Context and audience (who sees this? where does it live?), (5) Technical parameters (tool, format, aspect ratio, any constraints). This order matters because it mimics how AI processes instructions—general context first, then specific constraints. A bad prompt throws all of this together: 'make a modern skincare bottle, clean, premium, wellness vibe, for Instagram.' A working prompt separates layers: 'Packaging mockup: high-end skincare bottle. Style: minimalist, Scandinavian, 2024. Colors: cream, soft sage, matte finish. Lighting: bright diffuse, shadows minimal. Audience: women 28–45, premium beauty market. Format: 3/4 product angle, white background, photorealistic, Midjourney 6.0.' The structure does the work.

Step 5: Test and Diagnose the First Output

Generate once and look for the gap. Did the AI nail the aesthetic but miss the brand personality? Did it nail the color but choose the wrong photography style? This diagnostic step is not a failure—it's where you learn exactly which phrase in your prompt wasn't precise enough. If the output is 'not premium enough,' that's usually a lighting or material issue, not a style issue. If it's 'too generic,' the context layer (audience, category) wasn't specific enough. Use a 12-point checklist: Does it match the audience demographic? Does the color palette match the brief? Is the lighting right? Is the typography readable? Does the composition fit the layout? A structured brief reveals exactly which one line needs to change. One-line fixes beat wholesale rewrites.

FAQ

How do I know if my decoded brief is specific enough?: If you can read your prompt aloud and a non-designer understands what will be made, it's specific enough. If it still contains words like 'nice,' 'good,' or 'modern' without context, it's not. Test: Can a colleague generate from your prompt and match your direction without asking questions?
What if the client gives me a mood board instead of a brief?: A mood board is actually a gift. Your job is to reverse-engineer it: What colors repeat? What photography style? What level of polish? What typography weight and sans/serif choice? Write down 3–5 visual patterns, then build your prompt around those patterns. A mood board is a decoded brief that someone else did halfway.
Should I use different prompt structures for Midjourney vs. DALL-E?: The 5-step brief-decoding process is the same. The prompt syntax differs. Midjourney favors stacked descriptors and parameters. DALL-E prefers natural language and longer explanations. Once you decode the brief properly, adapting the prompt to the tool takes 2 minutes, not 2 hours.
What's the fastest way to handle 'make it pop'?: 'Pop' usually means contrast, saturation, or visual hierarchy. Ask: Pop against what? If it's a SaaS dashboard, pop means bright accent colors on a muted background. If it's an Instagram ad, pop means high saturation and bold typography. One follow-up question replaces 10 revision rounds.
Can I use the same decoded brief for multiple AI tools?: Yes. The decoded brief (the five-layer structure) is tool-agnostic. Once you have your anchors—color, style, mood, audience, context—you can generate with Midjourney, DALL-E, or Runway without re-decoding. You're only translating the syntax.