Practical writing on agentic systems, orchestration, automation design, and the operating patterns behind reliable AI delivery.
A security checklist for tool-using agents, MCP servers, prompt injection, secrets, file access, and approval boundaries.
A map of useful tools, libraries, and platform decisions. how to keep interactive AI pages fast, accessible, and stable
Opinionated engineering notes for practical AI and software delivery. how document quality, chunking, metadata, and citations affect answer quality
How the workflow changes as traffic, users, or data volume grows. how validation, policies, refusals, and human approval reduce risk
A system-design view for planning production implementation. how deployment workflows preserve secrets and avoid accidental exposure
The mistakes teams should identify before launch. how to serve open models with throughput, batching, and cost control
The security and permission concerns that should be reviewed. how declarative deployments reduce drift and improve reviewability
Why teams need model routing, budgets, fallback logic, observability, and provider abstraction before AI usage scales.
How engineering, product, and operations teams should collaborate. how to keep interactive AI pages fast, accessible, and stable
How the workflow changes as traffic, users, or data volume grows. how document quality, chunking, metadata, and citations affect answer quality
A map of useful tools, libraries, and platform decisions. how validation, policies, refusals, and human approval reduce risk
Opinionated engineering notes for practical AI and software delivery. how to evaluate coupling, boundaries, state, and failure modes