Insights
Strategic analysis of AI, cloud, and emerging tech for technology leaders.
AgentForge — Building an Enterprise AI Agent Orchestration Console
How I built AgentForge: a production-grade enterprise console for registering, running, and governing AI agents across Claude, GPT, and Vertex AI — with LangGraph orchestration, two HITL patterns, OTEL observability, and an immutable audit trail.
From Rigid APIs to AI-Native: Why Your Book Service Needs MCP
Traditional APIs were built for humans writing code. MCP is built for AI agents discovering and composing capabilities at runtime. This post shows exactly why that distinction matters — and how to migrate your existing book service without a rewrite.
LifeOS — Setup Guide
A Telegram assistant for morning briefs and leave-now alerts. How to use it, how I host it, and what I learned shipping it.
Responsible AI Governance — Personal Playbook
A visual playbook for managing high-risk AI systems. The 'AI Control Tower' framework ensures governance, oversight, and safety in deployment.
Responsible AI-FAQs
Common questions on high-risk AI systems. Covering risk definitions, deployment checklists, accountability, and incident protocols.
My Learning Year – 2025
2025 was not a year of accumulation. It was a year of distillation. As leaders, we don’t get paid for how much we know — we get paid for how well we convert knowledge into leverage.
Demystifying MCP: The 5 Ws and Real-World Integration
Understand the Model Context Protocol (MCP) through a real-world scenario: exposing your User, Product, and Order microservices to AI agents without rebuilding your backend.
Cursor vs Anti Gravity vs Gemini 3.x — A Practical Comparison
I’ve spent significant time working with Cursor AI, Google’s Anti-Gravity, and the latest Gemini 3.x releases. Here’s my breakdown of how they compare in real-world usage.