Stop pasting prompts between Slack and ChatGPT. Build a brand voice library, run model bakeoffs to find the best output, and route copy through approvals before it ships — with a full audit trail.
Reusable prompt fragments enforce voice on every campaign. Update once — every prompt that uses it stays current.
GPT-5, Claude, Gemini — side-by-side, with cost and latency. Auto-judge ranks against your brand rubric.
Route generated copy through reviewers with comment threads. Every change tracked, every export logged.
Drop in a piece of writing you love. Prompsy generates a Smart Prompt that captures its tone, structure, and length.
Built-in analyzer scores clarity, specificity, and token efficiency. Suggests rewrites. A/B-tests the result.
Launch posts, ABM emails, blog outlines, ad headlines — every category seeded with battle-tested Smart Prompts.
Drop the campaign brief. Smart Prompt fills in audience, channel, and brand variables.
Run across three models in parallel. Auto-judge ranks by your brand rubric.
Route to your reviewer. Inline comments, redlines, and version history baked in.
Export to your CMS or trigger a Flow that publishes to every channel at once.
We replaced three tools and a 40-line Notion doc with one Prompsy library. Our weekly content cycle went from four days to one.
Yes. Define tone fragments, banned phrases, and required structure once. Every prompt that imports them inherits the rules — and validators block off-brand outputs before they leave.
Flows publish via webhooks or our public API to Webflow, Contentful, HubSpot, Sanity, Ghost, and anywhere with a write API.
Streaming side-by-side, even for 8k-token outputs. The LLM-judge scores against your rubric — voice match, factual accuracy, structure, length.
Approval gates with role-based access. Every promoted output is signed, time-stamped, and queryable in the audit log.