WorkBuddy Practical: 10a - Reading: AI Work Systems Explained

The core of an AI Agent system is a continuous evaluation and execution loop: the Agent receives goals, plans actions, invokes tools (e.g., file system reads, HTTP queries, Python executions), parses outputs, updates its internal memory, and refines the execution checklist.

Core Architecture Components:

1. Planning Loop: The reasoning engine that decomposes high-level requests into timed checklists.
2. Memory Manager: Manages short-term context variables and routes queries to long-term vector indexes.
3. Tool Call Controller: Translates plans into script calls, shell executions, and API requests.
4. Audit Guardrails: Intercepts high-risk actions to safeguard system integrity.