AI Engineering That Ships
Hard-won insights from assembly language to multi-agent orchestration.
Written for engineers who care how systems actually behave in production.
Agentic infrastructure · Defense-in-depth security · Modernizing legacy systems
Agentic AI Systems Engineering
Building production-ready multi-agent systems where AI agents generate Claude Code infrastructure for any project — with defined file ownership boundaries, specialized tool restrictions, and automated quality enforcement. Two completed production migrations prove compound returns: the second migration was more complex but completed in fewer sessions.
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Agentic AI Security Architecture
Applying defense-in-depth security to AI agent systems, directly addressing the OWASP Top 10 for Agentic Applications. Covers prompt injection defense (22 detection patterns), rate limiting as circuit breakers, inter-agent JSON Schema validation, secrets hygiene enforcement, and a 3-tier trajectory monitoring system.
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Production AI Systems
Three completed AI projects with real metrics: Text-to-SQL Dashboard (92–95% SQL accuracy, $45/month), Obsidian Knowledge Pipeline (1,000+ notes, 2,757 bidirectional links, $1.50 total cost), and Job Search Agent (1,975 companies monitored, 58,807 jobs/week, 311 curated matches, $5.04/run).
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Data Intelligence & SQL Engineering
Expert-level SQL across MS SQL Server and PostgreSQL. The text-to-SQL system auto-generates four-panel dashboards from plain English in under 30 seconds using vector search — achieving 92–95% accuracy on a schema with many tables and millions of records, where standard AI approaches fail.
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The Dotzlaw Team
Two skilled engineers building advanced agentic AI projects and research alongside me. They contribute directly to the systems, articles, and tools published on this site.
Building AI-powered data pipelines and full-stack applications at the intersection of machine learning and real-world business problems.
Applying statistical analysis, neural networks, and modern UI to extract insight from complex datasets and build compelling data-driven applications.