Insights & Articles

A collection of my thoughts on technology, AI, data strategy, and the process of building high-quality digital products.

2025-08-27

Post-mortem of a Failed GenAI Project: An Architectural Analysis

A candid and technical breakdown of why a promising multi-step AI agent project failed in production. This is an architect's analysis of the flawed system flow, the catastrophic results, and the resilient architecture that should have been built.

2025-08-27

Your RAG Pipeline is a Black Box. Here's the Architecture to Fix It.

A candid architectural analysis of why most simple RAG implementations are un-debuggable, untrustworthy black boxes in production. This is a technical blueprint for an observable, resilient, and continuously improving RAG system on Google Cloud.

2025-08-26

Designing a Resilient System Flow for Multi-Step AI Agents

A Digital Product Architect's deep dive into the system design patterns required to build reliable, stateful, and observable multi-step AI agents that can execute complex business workflows.

2025-08-26

From Ingestion to Inference: A Deep Dive into the System Architecture of a Real-World GenAI App for Retail

A comprehensive architectural blueprint for a production-grade Generative AI application that provides deep insights for the retail industry. This article breaks down the two core sub-systems—the data ingestion pipeline and the real-time inference engine—on Google Cloud Platform.

2025-08-26

Monolith vs. Microservices for AI: An Architectural Trade-off Analysis for a Content Supply Chain Platform

A deep-dive architectural analysis comparing two competing patterns for building a production-grade AI platform. We dissect the trade-offs in development velocity, scalability, cost, and resilience to determine the optimal architecture for long-term success.

2025-08-25

The Anatomy of a Production RAG System: A Component-by-Component Architectural Breakdown on GCP

A deep-dive into the production-grade architecture of a Retrieval-Augmented Generation (RAG) system on Google Cloud. This is a technical blueprint covering the data pipeline, inference engine, and the MLOps patterns required for a scalable, reliable, and cost-efficient solution.

2025-08-25

Architecting for Zero: A Cost-Optimization Deep Dive for Serverless Generative AI on Google Cloud

A candid architectural analysis of why naive serverless GenAI applications can lead to catastrophic costs. This is a technical blueprint for a production-grade, cost-optimized RAG system on GCP designed to minimize idle spend and scale efficiently.

2025-08-24

The First 4 Weeks: How a Digital Product Architect De-Risks Your Startup Idea Before You Write a Line of Code

A week-by-week breakdown of the Blueprint Phase—a structured, 4-week process for transforming a raw startup idea into a validated, investment-grade technical and product plan, architected for success.

2025-08-22

Your MVP is Architecturally Doomed. Here’s How to Fix It Before It's Built.

A candid architectural analysis from a Big 4 consultant's perspective on why most MVPs are built on a foundation of technical debt that cripples future growth. This is a blueprint for the 'Evolvable MVP'—an architecture designed for both speed and long-term success.

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