Google has released the Gemini Deep Research agent, which allows developers to integrate advanced research capabilities into their applications. This agent is designed for complex information tasks, improving web search and generating detailed reports while minimizing errors. A new benchmark, DeepSearchQA, has also been introduced to enhance the evaluation of research agents.

Google has released updates for the Gemini API, enhancing its Gemini 3 model. Key features include new parameters for controlling reasoning depth, image processing, and thought signatures to maintain context in conversations. These updates aim to improve developers' control and efficiency when building applications.

The article details the author's frustrating experience trying to obtain a Google Gemini API key for a coding project. After navigating a confusing array of Google services and verification steps, the author ultimately gained access, but not without significant hassle and delays.

Google has launched the Google Trends API, enabling developers to access and utilize Trends data in a scalable manner. The API offers consistently scaled search interest data, time range options, and geographical breakdowns, facilitating research, publishing, and marketing strategies. An alpha testing phase is open for developers to apply for early access.

The Google Gen AI JavaScript SDK enables developers to create applications using the Gemini API and Vertex AI, focusing on secure API key management and server-side implementations. It provides various functionalities such as content generation, model querying, and real-time interactions, along with support for both Node.js and browser environments. The SDK is compatible with features from Gemini 2.0 and includes tools for managing API responses and errors.