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1. Introduction

Building production-ready generative AI applications involves 3 stages:

  • Ideation - rapid prototyping, testing apps with simple test prompts.
  • Augmentation - evaluation, testing quality & safety with larger datasets.
  • Operationalization - deploying apps and monitoring them for insights.

The challenge is in providing developers with a developer experience and tooling support to streamline these stages - without requiring a massive learning curve in new semantics, model-specific APIs or plaform-specific SDKs.

What if we could make the prompt the central unit of development - and build tooling to build agency and observability around it? That's the vision behind Prompty. Watch this Microsoft Build 2024 session for a deeper dive into end-to-end AI development using Prompty and AI Studio.

Using Prompty you can:

  • Design Prompts - Create & refine prompt templates in an IDE
  • Explore Models - Configure model parameters, diverse deployments
  • Execute Prompts - Use built-in tools and custom runtimes to test prompts
  • Observe Traces - Use built-in features to track and debug execution
  • Compose Apps - Chain and compose Prompty assets for complex flows