How Agentic Performance Testing differs from co-pilots and AI assistants

Most AI tools are designed as one assistant or co-pilot answering one prompt, but Tricentis Agentic Performance Testing is built differently. In this video, Product Marketing Manager Twan Koot explains the two pieces behind it: purpose-built tools and a team of seven specialized agents, each designed to do a performance tester’s job the way it should be done.

Key highlights

Tools are the hands. APT runs on specialized MCP tools that define what the LLM can do and let it digest large amounts of performance data.
Skills are the other half. The agent’s instructions and expertise decide how well it uses the tools.
Smaller context windows lead to better accuracy. Context is one of the biggest constraints when working with LLMs. Splitting the work keeps each agent’s context tight, which improves accuracy and cuts token usage.

Watch the webinar: https://bit.ly/484oTmw