About the event

​In this session, you will take a complex climate question and set up a working AI research agent for it. This AI agent will take the multilayered problem, breaks it into sub-queries, searches across dozens of sources in parallel, and delivers a citation-backed briefing you can actually verify. By the end, you'll have a pipeline you can point at your own research domain and run.


​Climate professionals spend real hours every week on the same research loops: scanning funding announcements, tracking policy updates across jurisdictions, monitoring literature in a sub-field. The work matters, but it's repetitive, and it's the first thing that slips when deadlines hit. AI agents can take over the searching and synthesizing. You keep the interpreting and deciding.


​What you'll see built:

​A complete research pipeline using Perplexity's Deep Research mode and NotebookLM. The agent takes a climate research question, decomposes it into 5-10 sub-queries, runs them simultaneously, and synthesizes the results into a structured briefing with traceable sources. We then ground that output in a verified document and use NotebookLM to extract key findings, generate an audio overview, and map relationships between concepts.


​What you walk away with:

​A replicable workflow for setting up your own research monitoring agent, and the understanding to adapt it to funding tracking, policy monitoring, or literature review in your domain. Plus:

  • ​Step-by-step documentation of the full pipeline
  • ​Premade prompt templates for research decomposition
  • ​Example briefings and output formats
  • ​Exclusive discount and access to Terra Studio


​The format:

​We will build this pipeline live in an hour. I will walk through each decision as it happens, with Q&A every 20 minutes. You'll see what works, what breaks, and how to adapt the workflow to your own research needs.


​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.


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Nilesh Bansod

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Created by —

Anshuman Bapna

Anshuman is the founder of Terra.do with a mission to&nbsp;<em>move 100M people into climate work this decade</em>.<br /> <br /> Anshuman is also a serial entrepreneur. He co-founded and sold his first startup (<a href="http://righthalf.com/" target="_blank">RightHalf.com</a>) while in undergrad at IIT Bombay, seeing it through the first boom &amp; bust on the internet. After his MBA at Stanford, he spent some time selling solar lights in Vietnam and started a non-profit that helped Indian Members of Parliament develop their constituencies. All this while working with Deloitte, and then Google in New York. He moved to Bangalore in 2009 to start&nbsp;<a href="http://mygola.com/" target="_blank">Mygola.com</a>, a travel planning app that was acquired by MakeMyTrip in 2015, where he was their Chief Product Officer until 2019 when a classic midlife crisis sent him in search for what was truly worth working on.<br /> <br /> He currently lives across from Stanford University where his wife just finished her PhD in sustainable construction. He has two kids, and often finds himself taking climate inspiration (and career advice!) from them these days.

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