Your Prompts Deserve a Workbench
You wouldn't write production code in a sticky note. So why are you engineering prompts in a chat window?
Prompt Console gives prompts the same treatment as code: version them, test them, measure them, optimize them. All in one place.
The Prompt Engineering Workflow
The Problem With Prompts Today
AI is eating software. But the core artifact — the prompt — is still managed like it's 2020. Scattered across notebooks. Copy-pasted between projects. No way to know which version works best. No idea what it costs.
This is the gap.
Prompts in random files. No versioning. No testing across models. No cost tracking. "I think this version was better" vibes.
Build, Test, Ship
The platform is organized around three pillars — and each one has real depth.
test:
prompt: "summarize-article-v3"
models:
- claude-3.5-sonnet
- gpt-4o
- gemini-pro
inputs:
- article_short.txt
- article_long.txt
- article_technical.txt
evaluate:
- accuracy
- cost
- latencyPowered by OpenRouter
One API, every model. Prompt Console sits on top of OpenRouter, which means you can test your prompts against Claude, GPT, Gemini, Llama, Mistral — all without managing separate API keys.
Switch models in one click. Compare outputs side by side. Pick the best one for each use case.
OpenRouter unifies 100+ AI models behind a single API. Prompt Console leverages this to let you test any prompt against any model — instantly.