Leading with Attention
Lessons from AI software engineering translate directly into how technical teams should be led.
▲ Live on Medium — recurring series
The pipeline
Each entry below is an idea with a hypothesis, a stage, and a signal. Interactive ideas ship as applications; static ideas ship as writing. Low-signal ideas cycle back into the foundry with what we learned.
Prototypes that earned their way out — live and generating value.
Lessons from AI software engineering translate directly into how technical teams should be led.
▲ Live on Medium — recurring series
Being measured against their hypothesis right now.
A public site that explains the foundry operating model and pipeline can attract collaborators and validate the portfolio thesis.
▲ Live at dev.perrinresearch.com — production at perrinresearch.com
Portfolio surveillance focused on a sector or disease area surfaces where capital and science converge before the market does.
▲ Working prototype — daily internal use
A central site for project intake, task tracking, and prompt ideas would drive development.
Under active workup — agents and humans building the artifact.
Dystrophin and muscle models plus financial disease-cost models can change how Duchenne therapies are valued.
▲ Strong domain pull — active build
Families navigating Duchenne need a clear, evidence-based account of muscle, exercise, and plasticity.
▲ Drafts in evaluation
Framework for evaluating prototypes.
Captured as hypotheses, queued for agent workup.
Gaming muscle plasticity for lasting mobility is a book-scale idea — too big for a post, too useful to stay unwritten.
▲ Chapters in prototype