I'm continuing my explorations of how to use AI agents within a data platform. In this post and the accompanying video, I break down an agent that assembles the final weekly reports used for the Climate Narratives substack. Of course, all this is made possible with the help of Hex and LangChain.

I recently started using #Obsidian. It took some time to settle on an approach that works for me, but I'm enjoying it - especially for journaling.

A challenge has been keeping track of ongoing threads of thought. I don't want to read through past entries; I’d prefer an updated summary each day.

The Weekly Climate Narratives Review is back! After months of updates to the platform, this edition is the 1st in this “new era” and has been primarily assembled by AI agents.

This edition covers investor concerns over clean energy policies and more.

climatenarratives.substack.com/p/investor-a...

I had not played with the DAMN tool in a while, but lately, I've been working on a project where I needed to fetch metadata for a bunch of assets I'm producing. However, I was missing support for metadata from BigQuery. DAMN 0.1.5 now supports BQ.

github.com/republicofda...

I like the promise of Quarto. I do enjoy working on notebooks directly from my IDE. The number of configurations ahead of me is a bit intimidating, though. But at least I can get a preview going, and that's all that matters :)

It’s amazing how many open-source or inexpensive tools we have for analyzing large, unstructured data. Using @langchain.bsky.social, I added another agent to my Hex report and summarized climate events discussed in the past 28 days in under an hour.