26. Trustworthy Agentic Research

This chapter covers using agents in research in a way you can stand behind:

• Evaluating and Monitoring Agents: whether the output is right, what the agent did, what it cost, and when not to use an agent.

• Agentic AI in Research: where agents fit in the research lifecycle, workflow patterns, practices for trustworthy results, and research integrity.