Building practical AI products
My work centers on turning AI from an impressive demo into usable product infrastructure: decision workflows, automation systems, and interfaces that help teams move faster with clearer judgment.
Mirant Desai
A concise list of current product, architecture, and AI stories that describe what I am building, thinking through, and publishing.
My work centers on turning AI from an impressive demo into usable product infrastructure: decision workflows, automation systems, and interfaces that help teams move faster with clearer judgment.
A focused build cycle around PlanAI shaped the product foundation for educational technology and enterprise AI use cases, with attention on architecture, execution speed, and product clarity.
One thread of the work has been modernizing AI and analytics workflows so R-based capabilities can be called through cleaner APIs and composed into production product flows.
Collaboration branching explores how teams can compare directions, develop alternatives, and preserve structure while still moving quickly through complex work.
The serverless API direction reflects a practical approach to scaling product systems: smaller deployment surfaces, clearer boundaries, and services designed for iteration.