I shipped a prompt library. Not because it's sexy. Because people were staring at a blank input box.

I shipped a prompt library. Not because it's sexy. Because people were staring at a blank input box.

My API gateway has 15 models. Kimi K3 with 1M context. DeepSeek at
$0.27/M. Qwen for multilingual. GLM-4 Plus for complex reasoning.

Users signed up, got their API key, opened the dashboard... and then
did nothing. 68% of registered users had zero API calls.

They weren't confused about the API. They were confused about what
to ask. The input box was empty. Their mind was too.

What I built

A static HTML page. 6 categories. 24 prompts. No backend. No database.
No API routes. One file.

📚 Prompt Library
─────────────────────────────────────

💻 Code
├── Find bugs in this code → Try with Kimi K3
├── Refactor for readability → Try with Kimi K3
├── Explain this function → Try with GLM-4 Plus
├── Add error handling → Try with Kimi K3
└── Generate unit tests → Try with DeepSeek

📝 Content
├── Summarize an article → Try with DeepSeek
├── Translate to Chinese → Try with Qwen Max
├── Rewrite in formal tone → Try with Qwen Max
└── ...

🏷️ Classification
🔍 Analysis
✍️ Writing
📊 Data

Each prompt has three buttons:

🎯 Try in Playground — opens a new tab with the model pre-selected,
system prompt filled in, user message ready to send. One click from
"what do I ask" to "oh, it works."

📋 Copy as curl — complete command with the prompt and recommended
model. Replace the API key placeholder and run.

🐍 Copy as Python — OpenAI SDK code with the same prompt.
Paste into your project and start iterating.

Why this matters

Most API products assume users know what they want to build. That's
wrong. Most users know they might want to build something, but
they don't know where to start.

A blank input box is the worst onboarding experience in developer
tools. It says "I'm ready when you are" but the user hears "figure
it out yourself."

A prompt library says "here's 24 things you can do right now.
Pick one. See it work. Then build your own."

The model tip built into every prompt

Every card recommends a specific model. Find bugs → Kimi K3
(1M context, always reasoning). Translate → Qwen Max. Generate
tests → DeepSeek ($0.27/M). Classification → DeepSeek.

Users don't need to know which model is best for which task. The
prompt library teaches them by doing. After trying a few, they
naturally start matching tasks to models.

What's behind it

The rest of the product hasn't changed. 15 Chinese AI models behind
one OpenAI-compatible endpoint. Free playground with no signup.
GitHub OAuth in one click. Instant onboarding after login — API key,
curl command, Python code, all copyable in 30 seconds.

Free tier: 500K tokens/month. No credit card.

→ aibridge-api.com/prompts.html (24 prompts, 6 categories)
→ aibridge-api.com/playground.html (try all 15 models, no signup)