PRISM refracts what you ask into its component pieces — objective, platform, constraints, style — then recombines them into an engineered prompt tuned to the exact AI you'll run it on. Then refine it in plain language until it's right.
Your request is split into labeled pieces — what's stated, what's inferred — so nothing important is left implicit.
The prompt is written in your target model's native conventions: XML for Claude, role framing for GPT, descriptor strings for image models.
Every section carries the reasoning behind it, plus which tools to run it with and why — so you learn as you go.
Tell PRISM what to change in plain words. It rewrites in place and keeps a running history of your revisions.
PRISM · prompts engineered by decomposition
authored end-to-end by Claude Sonnet 4.6 in this artifact's runtime — no keys, no backend
Pick where you'll run it. The architect then opens styled like that model's own app — and writes the prompt in its native conventions.
Describe what you want a prompt for. PRISM breaks it into what you want, the tools to use, and how to phrase it — then writes a sectioned prompt.