JSON prompt libraries that make AI output predictable for your team
Instead of one-off magic phrases, you get structured JSON schemas and presets that your designers, marketers and developers can reuse across tools.
From vague prompts to real, reusable systems
Most teams keep prompts in screenshots and chat logs. JSON superprompting turns them into a small, documented system you can version and extend.
Structured schemas
Prompts are delivered as JSON with fields for camera, mood, composition, character behavior, layout sections, UX states and more.
Preset libraries
You receive a compact library of presets for different scenarios: hero visuals, product shots, UI screens, onboarding flows, patch notes, and so on.
Documentation in plain English
Every field is explained so non-technical teammates can safely tweak parameters without breaking the whole system.
Example use cases for JSON prompt engineering
Marketing teams
Generate on-brand visuals and social assets with consistent angles, lighting and typography instead of starting from zero each campaign.
Product & UX
Create families of screens, onboarding flows or empty states with aligned style, copy tone and component structure for your app.
Indie builders
Ship faster by reusing the same prompt system for multiple products, adjusting only product names, features and target audience.
Async workflow for building your prompt library
Everything happens in writing: you describe your tools and goals, I build and refine the JSON library in 1–2 feedback rounds.
You outline your stack (Midjourney, Sora, Claude, etc.), brand constraints and what “good output” means for your team.
I prepare initial JSON schemas and presets for your main scenarios, plus notes on how to plug them into your workflow.
You test, send comments, and receive a cleaned-up library with final docs, ready to live in your repo or knowledge base.
Use the brief to describe your tools and brand. I’ll come back with a clear proposal for a JSON prompt library tailored to your team and roadmap.