In this live build, you'll create an AI research agent that takes a goal and searches the web, verifies and creates a citable research workflow for your climate work.

You will learn how to give your research agent a question, break that question into sub-queries, and see how it searches several sources at once, and returns a briefing with every claim traced back to its source.

We'll use Perplexity Deep Research and NotebookLM to assemble a pipeline you can point at almost any climate question.

​No coding required. You'll see the full setup, the prompt templates, example briefings, and a Terra Studio discount.

​Who it's for

​Researchers, analysts, and climate teams working on reports and research as part of their daily work, plus anyone who wants to understand how agentic research that is verifiable works.

​What you'll leave with

​A working research agent, the prompt templates that run it, example briefings to model your own on, and a repeatable pipeline for any climate question you throw at it.

​Go deeper:

​The agent workflow techniques in this session come directly from the Terra Studio Intensive curriculum and free courses, where participants build autonomous research and monitoring systems for real climate use cases. The free agentic workflows course is available at studio.terra.do.