Kalmantic Press · We think in public
The receipts, attached.
RK on AI, the show. The Substack. Kalmantic Press, five books and counting. That is how authority on AI deployment gets built: in the open, over time, with the work cited.
Note from the Editor-in-Chief
Ananya
We believe the most important ideas deserve to be accessible, actionable, and honest. Every book comes from the frontlines of AI research and enterprise deployment, written by practitioners who have seen what works, what fails, and what is coming next. If you are interested in partnerships or co-publishing, I would love to hear from you.
Books on Amazon
From the Kalmantic shelf
Agentic Enterprise: Organization Reinvented
By Giridhar (L V) Vishwanath, Thiyagarajan M, Kashi KS
Backed by original research analyzing 143,500 real tasks across six industries, the first book to treat AI transformation as an organizational design problem. It reveals the 30/40/30 pattern in every enterprise: 30% of tasks ready for automation, 40% demanding human-agent collaboration, 30% that stay human. A full operating playbook for CXOs who need to act now.
What is your NemoClaw Strategy?
By Thiyagarajan M, Kashi KS
A strategic playbook for the agentic enterprise. From NanoClaw vs MegaClaw architectures, to redesigning your organization for agentic operations, to deploying your first swarm in 90 days. 324 pages of strategy, not theory, written for CEOs, CFOs, COOs, CHROs, and CTOs.
How to be an Agentic Operator?
By Thiyagarajan Maruthavanan, Kashi KS
Every transformative technology births an operator class: people who don't build the technology, but make it work for everyone else. That operator layer always captures more wealth than the builders. This book is for the person who steps in, takes accountability, and delivers outcomes in a world drowning in AI complexity.
Peak Inference: Infra Economics of AI Inference
By Thiyagarajan M, Vamshi Ambati
Many AI systems fail for reasons that are not obvious during development. Models improve, benchmarks look good, latency is fine. Then usage grows and costs behave strangely. This book shows inference is constrained less by compute and more by memory movement, batching, and context growth, and develops a way to reason about inference as an economic system.