Why Your AI Prompts Feel Generic
You've probably noticed: ask an AI tool a broad question and get a broad answer. Ask Midjourney for "a beautiful landscape" and you'll get something competent but forgettable. The problem isn't the AI—it's that you're giving it infinite creative directions at once.
Most people assume AI prompts work like Google searches, where fewer words = better results. The opposite is true. The best prompts are densely detailed. They close doors instead of opening them.
Add Constraints, Not Just Details
Here's the counterintuitive part: the more you limit the AI's options, the stronger your output. Constraints force the tool to make specific choices instead of averaging everything together.
Instead of:
"Write a marketing email for a fitness app"
Try:
"Write a 3-sentence marketing email for a fitness app targeting busy parents aged 35-45. Use conversational tone (no corporate jargon). Include one specific benefit (time-saving) and one curiosity hook. Avoid exclamation marks."
The second prompt removes ambiguity. The AI knows exactly who, what tone, what length, and what to avoid. You'll notice the output feels intentional.
For image generation, constraints work the same way:
- Instead of: "A cozy bedroom"
- Try: "A Scandinavian bedroom with a single window, midday sunlight, linen bedding, wooden floor, one plant, no people. Shot from doorway. Warm color temperature."
The second prompt eliminates vague interpretations of "cozy" and stylistic drift.
Use the Role-Play Anchor
One of the most underrated prompt techniques is assigning the AI a specific role or perspective. This acts as an invisible constraint that influences tone, vocabulary, and problem-solving approach.
For writing:
"You are a former tech recruiter writing an honest guide for junior developers. Use your insider knowledge of what actually matters in hiring (not what job postings claim to care about). Be blunt. Assume the reader is frustrated with generic advice."
For image generation with Midjourney:
"You are a commercial fashion photographer shooting for a luxury brand. Frame this scene like a high-end editorial shot. Include intentional negative space. Prioritize composition over busy details."
The role becomes a filter. It shapes decisions at every level. Without it, Gemini might write like a textbook. With it, the same AI writes like someone who lived the experience.
The Reference-Image Method (Visual Tools)
Midjourney and similar tools let you upload reference images. This is not just for copying styles—it's for communicating what you don't want to say in words.
Instead of describing a specific mood in Midjourney's text box, you can:
- Find 2-3 reference images that capture the vibe
- Upload them
- Write a simple, focused prompt that builds on them
The AI learns from the visual reference much faster than from description. This is why pro designers use mood boards—they communicate information densely.
Structure Your Prompt Like a Brief
When you're asking for something complex, steal the format professional creative briefs use:
- Objective: What's the end goal?
- Audience: Who's this for? (Be specific: "marketing managers at SaaS startups, 5+ years experience, skeptical of trends")
- Tone/Style: One reference or a few adjectives
- Format/Length: Exact parameters
- What to include: Specific elements
- What to avoid: Hard exclusions
- Success looks like: A one-sentence description of when you'll know it works
Trying this in ChatGPT:
"Objective: Create a LinkedIn post announcement for a new product feature. Audience: CTOs at mid-market companies. Tone: Professional but conversational, no hype. Format: 2-3 sentences + 3 bullet points. Must include: One technical detail and one customer benefit. Avoid: Superlatives, exclamation marks, the word 'revolutionary.' Success: Post should make a technical leader think 'oh, that's actually useful' not 'another marketing pitch.'"
This transforms a vague request into an actionable blueprint.
Test, Iterate, and Pattern-Match
The best prompt engineers treat their first attempt as a draft. They prompt, examine output, identify what worked and what didn't, then adjust one variable at a time.
If an image is too busy:
- Remove descriptors that might add clutter
- Add "minimalist" or "negative space" explicitly
- Upload a reference image with the composition you want
If text output is too formal:
- Change "Write a professional guide" to "Explain this like you're texting a friend"
- Add a specific role
- Include one example of tone in the prompt itself
Pattern-matching is where true skill develops. After 10-15 prompts, you'll notice which words reliably push tools in your intended direction.
Quick Prompt Engineering Checklist
Before you hit enter, verify:
- Constraints present? Are there limits on length, tone, style, audience, or content?
- Role assigned? Does the AI know what perspective to adopt?
- Audience clear? Could someone else read this prompt and know who it's for?
- Success criteria included? Do you describe what "good" looks like?
- Avoided negatives first? Did you state what you want before listing what you don't?
- Format specified? Does the AI know if this is 3 sentences, a listicle, or a script?
The Mindset Shift
Stop thinking of prompts as questions and start thinking of them as job postings for an intern. You wouldn't just tell an intern "make something good"—you'd give them a brief, examples, constraints, and success criteria. AI works the same way.
The best prompts feel almost boring to write because they're so specific. That specificity is exactly why the output stops being generic.
Once you internalize this—that constraints create quality, not limit it—your AI outputs will feel intentional. Explore ready-to-use AI prompts on Nohaya PromptAi to see how experienced prompt engineers structure requests across different use cases, and adapt those patterns to your own work.