Noa Flaherty

Prompting: Systematically iterate on prompts
- Unified prompt management dashboard
- Side-by-side model comparisons
- Native support for tools, structured outputs, OpenAPI specs

Workflows: The IDE for building steerable, agent-like systems.
- Visual graph builder for orchestrating complex AI systems
- Support for any model, custom code, and map/reduce functions
- Built-in features like loops, parallelism, error handling

Workflows SDK: A full-stack SDK + GUI for building AI apps with precision and flexibility.
- Bi-directional sync between code and UI
- Fine-grained control flow and global state management
- Customizable with Docker and streaming support

Evaluations: Test-driven development for AI.
- Build scalable test suites via UI/API/CSV
- Use pre-built or custom metrics for evaluation
- Track quality, cost, latency, and regressions over time

Retrieval: Powerful RAG infrastructure without the complexity.
- Simple APIs for uploading and querying unstructured data
- Tweak chunking, embeddings, and search for advanced use-cases
- Supports various file types including tables and images

Deployments: Update AI systems without redeploying your app.
- One-click deploy across any model or provider
- Staging environments for safe iteration
- Scalable inference endpoints for production use

Observability: Full visibility into AI system performance.
- Audit logs, debugging tools, and feedback capture
- Evaluation loops on live traffic
- Dashboards to track cost, latency, errors, and trends