╱ Blog
Thoughts on machine learning, AI implementation, and building intelligent systems.
A practical guide to designing multi-agent AI systems that run real business operations — how to scope roles, coordinate agents, keep humans in the loop, and ship something that actually holds up in production.
Off-the-shelf AI is faster and cheaper to start with, but custom machine learning models win on differentiation and cost at scale. Here is a clear framework for deciding when to build your own versus when to buy.
Manual data entry from invoices, forms, and contracts is slow, costly, and error-prone. Here is how modern AI document processing automates extraction at scale — and how to deploy it reliably.