LLM observability and evaluation for product teams. Prompt playground, monitoring, A/B tests, RAG eval.
What is Literal AI?
LLM observability and evaluation for product teams. Prompt playground, monitoring, A/B tests, RAG eval. See it in our AI Tools collection.
Key benefits
- Use Literal AI to explore modern AI capabilities without building and hosting your own models.
- Literal AI can speed up day-to-day work compared to purely manual workflows.
- Literal AI helps you experiment with AI safely before deeply integrating it into production systems.
Use cases
- Trying out Literal AI when you want to prototype AI-assisted features for your product.
- Using Literal AI as a companion while coding, writing, or exploring datasets.
- Evaluating whether Literal AI can replace or augment part of your current workflow.
About Literal AI
LLM observability and evaluation for product teams. Prompt playground, monitoring, A/B tests, RAG eval.
Literal AI appears in The Stash under the ai tools category so you can quickly understand what it does, when to use it, and where it fits into your workflow.
Sources & further reading
- llm
- observability
- evaluation
- product
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