Blog
Thoughts on AI engineering
Notes on building production ML systems, architecture decisions, and lessons from the field.
ML Ops2025-02-01
Why Most AI Projects Fail (And It's Not the Model)
The dirty secret of AI in production: models are the easy part. Pipelines, monitoring, and operational discipline are what separate demos from products.
5 min read