Jun 9, 2026 ¡ 1 hr 7 min ¡ 14 segments
This episode puts the Nexus Labs HVAC Sequence Optimization Playbook to the test with energy leaders from University of California, San Francisco Health and University of California, Santa CruzâŚ
Brad BonavitaHost
Patrick TestoniGuest
Gabe SandovalGuest
So like I mentioned, we're going to get into the HVAC sequence optimization playbook.
So let me start with that at the Nexus, which is our updates and maybe just a little bit of what the format of this podcast is.
We have over a thousand pieces of content between event recordings, Gabe presented at the last NexusCon and then we write our blogs and we have podcasts like this.
And what I did is I teach Claude what I mean by HVAC sequence optimization, and I train it on exactly what I'm looking for.
And then it goes and crawls our thousand pieces of content and looks for examples of building owners who've actually done this and how they've done it.
When I go through that and I iterate on what is real and what's BS, I ended up with 92 pieces of content that we've developed that are stories.
We're telling the stories of building owners who've done HVAC sequence of optimization and how they've done it.
And then with those 92 pieces, I'm able to tag what is being talked about there, whether that's, you know, they're sharing metrics that they're seeing in their program.
Then the hard work comes of like developing this outline and it takes me days to actually write this thing so it's not full of AI hallucination and full of good material.
So like I mentioned, we're going to get into the HVAC sequence optimization playbook.
So let me start with that at the Nexus, which is our updates and maybe just a little bit of what the format of this podcast is.
We have over a thousand pieces of content between event recordings, Gabe presented at the last NexusCon and then we write our blogs and we have podcasts like this.
And what I did is I teach Claude what I mean by HVAC sequence optimization, and I train it on exactly what I'm looking for.
And then it goes and crawls our thousand pieces of content and looks for examples of building owners who've actually done this and how they've done it.
When I go through that and I iterate on what is real and what's BS, I ended up with 92 pieces of content that we've developed that are stories.
We're telling the stories of building owners who've done HVAC sequence of optimization and how they've done it.
And then with those 92 pieces, I'm able to tag what is being talked about there, whether that's, you know, they're sharing metrics that they're seeing in their program.
Then the hard work comes of like developing this outline and it takes me days to actually write this thing so it's not full of AI hallucination and full of good material.
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