# Prompt Console

Test prompts and track what each run costs.

Keep prompt templates in one place and compare results with batch tests. OpenRouter connects the models; usage analytics and cost monitoring help you assess each run.

- Author: Mohammed Husamuddin
- Case study: https://projects.ihusam.tech/projects/prompt-console
- Status: live
- Year: 2025
- Topics: AI, Prompts, Developer Tool, Analytics
- Technology: Next.js, OpenRouter API, Tailwind CSS, Server Components
- Project URL: https://prompt-console.ihusam.tech/

## 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
Prompt Console → Build, Test, Analyze, Optimize, Deploy

## 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.

### Without Prompt Console
Prompts in random files. No versioning. No testing across models. No cost tracking. "I think this version was better" vibes.

### With Prompt Console

- Structured template management
- Batch testing across models
- Per-prompt cost attribution
- Version history with diffs

## Build, Test, Ship

The platform is organized around three pillars — and each one has real depth.

### Build

- Workbench with live preview
- Template management system
- File organization and tagging
- Variable injection and chaining

### Analytics

- Usage tracking per prompt
- Cost monitoring and attribution
- Activity logs with timestamps
- Batch processing results

### Example: Batch Test Config
```
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
    - latency
```

## Powered 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.