Before You Build: A Realistic Framework for Evaluating AI Use Cases
Why 80% of AI projects fail and how to avoid being one of them. A practitioner's framework for evaluating AI use cases before you write a single line of code.
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Thoughts on building intelligent systems, AI architecture, and the future of enterprise technology.
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Building Production-Ready AI Agents: Lessons from the Trenches
Practical insights from architecting and deploying AI agents in enterprise environments, including common pitfalls and strategies that actually work.
Read article →Prompt Engineering: Beyond the Basics
Advanced prompt engineering techniques for building reliable AI systems, from structured outputs to chain-of-thought reasoning.
Read article →Why I Left Traditional Software Architecture for AI Systems
A personal reflection on transitioning from 15 years of enterprise architecture to AI/ML systems, and why this shift makes sense for the next decade.
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