I've been building with LLMs since March 2023
The full arc of how Colabra adopted LLMs, from the first GPT ticket in March 2023 through hallucination fixes, vector search, the pivot, and prompt cache optimization today.
Posts
The newer posts are about building Colabra, selling into M&A, and using AI as a founder. The older archive is from 2016 to 2018, when I wrote frequently about energy, climate, and technology. I leave it all up because it shows how I reason from first principles.
The recent writing covers what I have learned building and selling an AI product for buy-side M&A diligence. The earlier posts were written while moving from battery research into the energy industry and then into my first startup. Writing in public was how I forced myself to understand a market instead of just reading around the edges of it.
That body of work eventually reached more than 10,000 views. I do not care much about the number on its own, but it is useful evidence that the writing found real readers while I was still working out my own point of view.
I keep the archive up because it shows the working style behind a lot of the later company-building: break a complicated system into parts, decide what matters, and make the argument concrete enough for other people to disagree with.
The full arc of how Colabra adopted LLMs, from the first GPT ticket in March 2023 through hallucination fixes, vector search, the pivot, and prompt cache optimization today.
How Colabra's sales pitch evolved from feature descriptions to persona-native language as M&A buyers became more sophisticated.
A detailed look at the skills, integrations, and workflow I use to get real leverage from AI as a founder.
Eight bets I got wrong building Colabra: Benchling, alliance managers, raise size, interaction models, sales language, pain framing, and more.
The specific system behind my outbound, meeting prep, follow-ups, and re-engagement, all grounded in transcripts and run through custom AI skills.
Bylined commentary on collaboration and scientific research workflows.
The reading order and entry point for the full cleantech curriculum.
A look at where electricity markets and infrastructure were heading next.
A Jumpstart-era piece on overlooked opportunities in clean energy finance.
An argument for wider participation in climate investing and ownership.
A closer look at how clean energy investing should evolve.
On the constraints of the grid and what it takes to modernize it.
A first-principles primer on solar energy.
A plain-language look at wind energy and its role in the grid.
On fuel cells, their promise, and their practical limits.
Why I don't like simplistic '100% renewables' thinking.
A breakdown of battery materials and why they matter.
A survey of how battery companies make money.
A look at what battery progress actually depends on.
Why efficiency is still one of the most important levers in energy.
A skeptical take on the agreement as a climate solution.
A short essay on learning and intellectual posture.
A piece on thinking in probabilities instead of certainty.
A piece on the structural pressures facing the oil industry.
Historical context for how oil came to dominate the modern economy.
Why the first cleantech wave disappointed and what investors missed.
A piece on batteries and Tesla as a clean energy wedge.
Why political headwinds alone could not stop clean tech.
A piece on urgency and the case for talking about climate now.
On realism, engineering, and large-scale climate work.