AI-AGENTS

Anthropic expands its AI agent capabilities with Cowork, a new tool designed to handle general computing tasks by granting Claude direct access to local folders and files.

Google has introduced a groundbreaking protocol allowing AI agents to facilitate commerce, enabling merchants to offer real-time discounts directly within AI search results.

Anthropic marks a massive milestone in 2026 by partnering with insurance giant Allianz to deploy autonomous AI agents and provide unprecedented access to Claude's underlying code.

OpenAI is reportedly asking contractors to upload past work artifacts to train its upcoming autonomous AI agents, shifting the burden of data anonymization to the workers themselves.

Discover how CUGA (Configurable Universal Gated Agent) on Hugging Face is revolutionizing the development of AI agents by providing a modular, scalable framework powered by high-speed APIs from n1n.ai.

Explore how NVIDIA DGX Spark and the Reachy Mini robot are revolutionizing embodied AI, enabling developers to build sophisticated AI agents with Hugging Face's LeRobot and n1n.ai's high-performance APIs.

Analyze the viral 'Starcraft-style' coding workflow revealed by Anthropic's Boris Cherny and how to implement it using n1n.ai for maximum productivity.

Moving beyond simple LLM calls to a deterministic 'Context as a Service' (CaaS) architecture for enterprise-level AI agents, focusing on safety, wisdom curation, and polymorphic output.

An in-depth review of OpenAI's quiet transition toward 'skills' and modular tool use, exploring how developers can leverage these capabilities via n1n.ai for high-performance applications.

An exhaustive technical review of the GPT-5.2 architecture, benchmarking its agentic capabilities, reasoning depth, and how to leverage it via n1n.ai for production-grade applications.

Learn how to optimize the Model Context Protocol (MCP) for complex AI agents. Before upgrading to a larger model, discover how improving tool-use infrastructure and context management via MCP can yield better performance and lower costs.

Discover the architectural differences, use cases, and implementation strategies for MCP and Function Calling in the modern AI stack.