Agent-based modelling (ABM) has emerged as a pivotal tool in macroeconomics and economic policy analysis. By simulating the interactions of numerous heterogeneous agents — such as households, firms, ...

In this tutorial, we explore how an agent can internalize planning, memory, and tool use within a single neural model rather than relying on external orchestration. We design a compact, model-native ...

In this tutorial, we build a self-verifying DataOps AIAgent that can plan, execute, and test data operations automatically using local Hugging Face models. We design the agent with three intelligent ...