LLM Context

Technology Insights 12 min read | Ankit Agarwal

From Discovery to Execution: How AI Agents Can Dynamically Install Tools

General-purpose agents often rely on tools served by Model Context Protocol (MCP) servers to accomplish things for humans. MCP has quickly become the go-to protocol for enabling AI agents to access a wide range of tools. At a high level, a large language model (LLM) acts as the agent’s “brain,” while tools give it the […]

Technology Insights 22 min read | Ankit Agarwal

The Importance of Context Placement in AI Agents

When building AI agents, it’s tempting to feed the model every bit of context you have – all the tools, all the data, all the instructions – in hopes that “more context == better results.” In theory, a larger context window and more tools should make an agent more capable. In practice, we’ve learned the […]