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
AI Beyond Language Models: World Models, Embodied Systems, and Physical AI
A practical way to categorize modern AI systems beyond LLMs, from perception and simulation to action in the physical world.
Qwen 3.6 vs Current Anthropic Models Performance, Cost, and Takeaways
A practical comparison of Qwen 3.6 and Claude 4.x on benchmark performance, token economics, and model selection strategy.
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.
5 more posts can be found in the archive.