# How It Works

**Inference API**

1. Connect Your Application: Use the Co-Builder interface to link your application or agent with the Inference API.
2. LLM Selection: Choose the preferred LLM that suits your apps/agents.
3. Real-Time Processing: The API processes data and delivers results with optimized speed and accuracy.
4. Monitor Usage: Track performance metrics and adjust settings to optimize for cost and efficiency.

**Deploy Your Own Apps/Agents**

1. Upload your pre-trained dataset: Developers upload pre-trained dataset or configure new ones within the Co-Builder platform.
2. Select Resources: Choose from centralized or decentralized GPUs for deployment, ensuring scalability and cost efficiency.
3. Train and Scale: Co-Builder handles training and scaling based on performance requirements.
4. Monitor Performance: Use real-time dashboards to oversee training speed, utilization, and outcomes.
5. Monetize: Get listed on the AI App Store for subscription earning rewards for usage.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.grafilab.io/home/whitepaper/grafi-co-builder/how-it-works.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.