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Use cases

Magnet AI covers three major use case categories that can be adapted to particular application requirements.

✨ Prompt-driven features:

Quickly automate routine tasks like translation, summarization, categorization, sentiment analysis, and generating content such as emails.

⚡Vector Embeddings:

Turn company knowledge into vector embeddings to enable semantic search and ground LLM responses in your data and knowledge.

🤖 Agents:

Provide a task and available tools, and let the LLM determine the steps for the Agent to solve it.


Magnet AI also provides capabilities necessary for continuous improvement and monitoring of Gen AI solutions. With Magnet AI, you can evaluate your Gen AI features using LLM-as-a-judge or human evaluation, track your LLM calls, monitor costs and performance, and collect business metrics and end-user feedback.