Recommended reads
- What Are Agent Systems: start with the core definition and operating loop.
- History Of Agent Ideas: use the short historical arc to understand why the field looks the way it does.
- Agents Vs Workflows: clarify the boundary between deterministic orchestration and bounded autonomy.
- Deep Research Agents: see how one of the clearest modern agent products is structured.
- Ecosystem: compare the major tools, platforms, and market categories.
- Radar: track what is changing quickly across the field.
Optional deeper dives
- Agent Memory And Retrieval: go here if you want a practical mental model for memory, retrieval, and artifacts.
- Reasoning And Control Patterns: go here if you want the control-loop view of agent behavior.
- LLM Foundations For Agent Systems: go here if you want the minimum model literacy behind modern agents.
- Context Engineering: go here if you want the production-minded view of how context is managed over time.
What this guide optimizes for
- Clear orientation without requiring a fixed sequence
- High-level understanding before implementation detail
- A broad view of the field and its moving parts