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Recent posts

Why we built Decagon Duet on Agent Operating Procedures

When we started building Duet, we first considered connecting a frontier reasoning model directly to our platform. Here's why we took a different path.

Optimizing GEPA for production: A test-driven approach to prompt engineering

GEPA is a gradient-free optimizer that uses natural language reflection rather than policy gradients to adapt prompts.

Designing low-latency AI agents through reranker optimization

We traced a meaningful chunk of our response latency back to a single stage in our RAG pipeline: reranking.

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