An AI agent needs more than a language model to carry a task through multiple steps. It also needs the right context, a way to maintain state, access to tools, and an execution loop that determines what happens next. Together, these components form the AI harness around the model.
On October 28, 2026, at 4:00 PM CET / 10:00 AM CDT, NorthGravity will host a webinar exploring how an AI harness turns an LLM into a working agent. Yehor Savchenko, Senior Software Engineer at NorthGravity, will explain the responsibilities handled by the system around the model and how its components work together during execution.
The session will look at how context informs an agent about the task, how state carries information from one step to another, and how tools allow it to interact with external capabilities. The execution loop connects these elements, allowing the agent to act, receive results, and continue toward an outcome.
The webinar will also explore where Model Context Protocol, or MCP, fits in this architecture. MCP provides a way to connect agents with tools and backend systems. Yehor will discuss how these connections support workflows that involve more than a single question and answer, as well as practical lessons from building and integrating MCP based agent workflows.
Moving from answers to execution raises practical questions about how work is divided into steps, how connected tools are used, and how the workflow is designed to reach a reliable result. The session is intended for software engineers, AI practitioners, and data and technology leaders exploring agent workflows.
Interested in joining the webinar?
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