MMXXVI // Post-Agentic Systems
Siddhartha
Chaturvedi.
I build AI systems for organizations. I'm interested in the work around the model: how systems learn, what they remember, and how teams validate their outputs and set guardrails.
Thinking in Public
Notes on building AI into everyday work, from choosing an interface to deciding when an agent needs human review.
The Enterprise Refactor
For leaders deciding how much work to hand to an agent: where human review belongs, and how to test generated work before customers depend on it.
Read the essayThe App That Builds Itself
Edit a brief on screen, or ask an agent to run an analysis? Compare the options through worked examples, including a generated interface for planning across teams.
Explore the interface demosAI Won't Simplify Work
Doctors need time to think about patients. Researchers need time to pursue a question. This essay asks where AI could take on the paperwork that competes for that attention.
Read the argumentThe Value Function
A worksheet for reviewing AI with your team. Look for convincing language with weak evidence, and answers that sound right but leave the user to finish the work.
Open frameworkExperience behind the writing
Before Microsoft, I co-founded a preventive-health initiative in rural India and joined the inaugural MITx Global Entrepreneurship Bootcamp in 2014. At Microsoft, I served on the AHSN Network’s AI Initiative advisory group, contributing to its work with NHS England. In 2025, I founded VeriScience, focused on validating AI for women’s health.
Atlassian
