24 prompts. 6 categories. One static HTML file. Zero backend changes.

#ai #api #llm #prompts

Here's why I built a prompt library instead of more API features.

The problem I couldn't ignore

68% of my users registered, got an API key, and then... nothing.
Zero API calls. Zero tokens. They had 15 AI models at their
fingertips and never used a single one.

I checked the logs. I checked the docs. The API was working. The docs
were clear. The key was active. People just didn't know what to ask.

A blank input box is not onboarding. It's a test. And most people
fail it — not because they can't think of something, but because
they don't know where to start.

What I built

A page with 24 ready-to-use prompts organized in 6 categories:

💻 Code — Find bugs, refactor, explain, add error handling
📝 Content — Summarize, translate, rewrite
🏷️ Classification — Sentiment, categorize tickets, detect language
🔍 Analysis — Compare approaches, review API design, debug logs
✍️ Writing — Write API docs, README, commit messages
📊 Data — Generate SQL, parse JSON, convert CSV schema

Each card does three things:

Shows a prompt — what to paste into the API
Recommends a model — Kimi K3 for code review (1M context, always reasoning), DeepSeek for classification ($0.27/M), Qwen for translation
Gives you one-click actions — Try in Playground (pre-fills the model, system prompt, and message), Copy as curl, Copy as Python

One click from browsing to running. No guesswork.

Why it works

The prompt library solves three problems at once:

Problem 1: "I don't know what to ask."
→ Here are 24 things. Pick one.

Problem 2: "I don't know which model to use."
→ Every prompt says which model. You'll learn by doing.

Problem 3: "I don't know how to call the API."
→ Copy as curl. Copy as Python. Paste. Run. Done.

It's also the best kind of content — it's useful whether or not you
use the product. Someone could copy a prompt, paste it into any
OpenAI-compatible endpoint, and it works. But if they do it through
our playground, they experience the full product in one click.

The numbers

The entire prompt library is one HTML file. 18KB. No new API routes.
No database table. No backend changes. Took half a day to build and
ship.

It lives at aibridge-api.com/prompts.html. Link in the playground
header. Link in the dashboard nav. Accessible whether you're logged
in or not.

What's behind the prompts

15 Chinese AI models. One OpenAI-compatible endpoint. Free playground
with no signup — 10 requests/day, all models. GitHub OAuth login in
one click. Instant onboarding after login with your key, a curl
command, and Python code all on one page.

import openai
client = openai.OpenAI(
    api_key="mb-xxx",
    base_url="https://aibridge-api.com/v1"
)
client.chat.completions.create(model="kimi-k3", messages=messages)