Practical Insights on Agents, AI Applications, and HMC
This blog shares personal field experience with agents, AI applications, and HMC. You will find practical lessons, tested workflows, and best practices for teams that want to adopt AI in a responsible and effective way.
Agents in Production
Real-world notes on planning, prompting, tool usage, and quality controls in agentic workflows.
Building AI Applications
From concept to operations: architecture, guardrails, data quality, and observable runtime processes.
HMC and Best Practices
Human-machine collaboration with clear roles, practical governance, and repeatable outcomes.
What You Will Find Here
The focus is actionable knowledge over hype: concise guides, deep dives, honest retrospectives, and templates you can apply directly in real projects.
Latest 3 Posts
Long-Form LLM Generation With Low Token Cost An Engineering Report
Engineering lessons from production-like long-form LLM pipelines with bounded retrieval, segmentation, and strong observability.
From Prompt Chaos to Agent Flow My Biggest Leverage Building This App
Why moving from manual prompt juggling to agentic end-to-end workflows significantly improved my development efficiency.
3 more posts can be found in the archive.