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Insights & Engineering Notes
Practical perspectives on AI engineering, infrastructure automation, and building systems that work in production.
Why Most AI Agents Fail in Production (And How to Fix It)
The gap between a demo agent and a production agent is where most projects die. Here are the five failure modes we see repeatedly and the engineering practices that prevent them.
Automating FortiGate Policy Audits with AI: A Technical Guide
A detailed walkthrough of how we built an AI-powered firewall rule analysis system that processes 200+ FortiGate configurations and detects conflicts, unused rules, and compliance gaps.
The MSP AI Gap: Why Platform AI Features Are Not Enough
Kaseya and ConnectWise are shipping AI features faster than most MSPs can implement them. Here is why the gap exists and how to close it.
Building a RAG Pipeline for Infrastructure Documentation
Step-by-step guide to building a retrieval-augmented generation pipeline that lets AI agents query your infrastructure documentation, runbooks, and knowledge base.
Measuring AI ROI in Infrastructure Operations
The KPIs that actually matter when measuring AI impact in IT operations. Beyond the hype — practical metrics your CFO will understand.
Terraform + Azure AI Services: An IaC-First Approach
How to provision and manage Azure AI services entirely through Terraform, with CI/CD integration and proper state management.
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