you'll ever write
Meet Ape, the first AI prompt engineer.
Equipped with tracing, dataset curation, batch testing, and evals.
Ape Outperforms
Ape achieves an impressive 93% on the GSM8K benchmark, surpassing both DSPy (86%) and base LLMs (70%).
Elevate your LLM applications with Ape's superior performance.
Ape makes prompt engineering scalable
Continuously optimize prompts using real-world data
Prevent performance regression with CI/CD integration
Human-in-the-loop with scoring and feedback
Works Without a Dataset
Ape works with the Weavel SDK to automatically log and add LLM generations to your dataset as you use your application. This enables seamless integration and continuous improvement specific to your use case.
No pre-existing dataset needed!
Don't think about evaluation.
Ape auto-generates evaluation code and uses LLMs as impartial judges for complex tasks, streamlining your assessment process and ensuring accurate, nuanced performance metrics.
Effortless evaluation for your LLM applications.
Human-in-the-Loop
Ape is reliable, as it works with your guidance and feedback.
Feed in scores and tips to help Ape improve.