Blog

OpenAI Realtime Tool Calls enable voice agents to interact with external data instantly. This guide provides a complete overview of the technology, its benefits, and the complexities involved in building with it from scratch.

OpenAI's new Responses API is changing how developers build AI agents. This guide provides a clear reference, comparing it to Chat Completions and the soon-to-be-deprecated Assistants API, and explores how to leverage its powerful new features.

Implementing OpenAI's powerful models in customer-facing roles comes with risks. This guide breaks down the essential OpenAI safety best practices for moderation, accuracy, and data security, and shows you how to implement them without a dedicated engineering team.

Thinking of building with OpenAI SDKs? This guide covers everything you need to know, from basic setup and key features to the hidden costs of building a production-ready AI solution yourself. Discover a faster, more efficient alternative.

The OpenAI Threads API offers powerful tools for building conversational AI, but managing persistent conversations can be complex. This guide breaks down how threads work, their limitations, and why a managed platform might be a better solution for your support team.

OpenAI Trace Grading offers deep insights for developers building AI agents, but it's complex. Learn what it is and explore a more practical, business-friendly alternative for evaluating your support AI with confidence.

Building an AI assistant? This guide breaks down the OpenAI Vector Stores API Reference, covering everything from creating stores to managing files and running searches.

Thinking about using OpenAI Vector Stores for your AI support agent? This guide breaks down the pros, cons, and hidden complexities of building with them directly. Learn about the challenges of latency, cost, and control, and discover how a self-serve platform can provide a more powerful, integrated solution in minutes.

Thinking about using Ada Action Control for your support automation? This guide breaks down how it works, its common use cases, and potential limitations around flexibility and pricing. See how modern alternatives offer a simpler, risk-free path to powerful AI actions.