I’ve been debugging LLM-based agents for a while, and I kept running into the same failures:
impossible action loops, irreproducible state, and “I have no idea why this happened” moments.
This post is my attempt to explain why those failures keep happening.
My conclusion is that in most agent systems, the problem isn’t the model or reasoning quality,
but the fact that the “world” (state, rules, action availability) is implicit and lives only in the model’s head.
I wrote about a world-centric approach where:
- the world state is explicit and immutable,
- actions are gated by computed availability,
- and models can only propose changes, never directly mutate state.
I also built a small demo to see if this idea actually holds up in practice.
Happy to hear counterarguments — especially if you think this is just reinventing something
or pushing too much logic out of the model.
This post is my attempt to explain why those failures keep happening. My conclusion is that in most agent systems, the problem isn’t the model or reasoning quality, but the fact that the “world” (state, rules, action availability) is implicit and lives only in the model’s head.
I wrote about a world-centric approach where: - the world state is explicit and immutable, - actions are gated by computed availability, - and models can only propose changes, never directly mutate state.
I also built a small demo to see if this idea actually holds up in practice. Happy to hear counterarguments — especially if you think this is just reinventing something or pushing too much logic out of the model.