What Shorewood Said
1,459 written comments from Shorewood's 2026 Community Survey, organized by theme, with the numbers behind the charts.
I build software and write about what I learn.
I've spent more than 20 years building software and roughly a decade working in ML and AI. I write longer pieces here, and share what I'm trying, reading, and listening to in a regular digest. You can also find my day-to-day thinking on X.
Writing
All essays →-
November 2
Writing down domain knowledge, an agent-built dashboard and demo video, Cliff Sosin, and how teams are working with agents.
- Five Lessons from Putting AI Into Research Teams
- How I Use Modal
- Building the Multiplayer Institutional Brain
- There's More Public Data Than People Exploring It
- Automating the Path from Frontier Models to Fine-Tuned Models
Notes
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Leading an engineering team through the change
Engineering leaders need to get people aligned on how the work changes with these tools.
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Having an agent build the features and demonstrate them
I asked Claude Code to choose dashboard visualizations from meeting notes, build them, and make a narrated demo.
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Give the models concise engineering principles
Engineering experience helps you identify the principles that steer a model toward better work.
Projects
All projects →
The Listening Index
1,613 takeaways from 196 podcast episodes, searchable by topic, show, and speaker.
Pacing the Frontier
All 1,134 signatories and 70 comments on the Pacing the Frontier statement, explorable, with every figure computed from the source data.
AI in Research Teams
Seven lessons about using AI in investment research, built as a single interactive page instead of a slide deck.
I do client work through PragmaNexus, mostly applied AI for investment research. More on that.