Hermes Agent Changed How I Turn Ideas Into Reality
An always-on personal agent changed where my work begins, reducing the distance between an idea and real execution across tools, environments, and interfaces.
- AI Engineering
- Agents
- Automation
Thoughts on software engineering, AI agents, web architectures, and modern systems.
An always-on personal agent changed where my work begins, reducing the distance between an idea and real execution across tools, environments, and interfaces.
In less than four years, AI moved from conversational answers to persistent agents that can reason, use tools, operate environments, and act on human intent.
The hardest part of building reliable AI systems is increasingly not what you ask the model, but what the model is allowed to know when it decides what to do next.
A powerful model is no longer enough to define a powerful AI product. The runtime around it decides what the model can see, what it can do, and how its work survives failure.
An agent works perfectly during development, then production tells a different story. Evals are becoming the layer that measures whether agent behavior is still correct after every change.