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Foundations
Tool calling, planning vs reactive, and the limits youβll hit in prod.
- What AI Agents Are Made Ofβ ββCore components of an AI agent in production: planner, memory, tools, policy boundary, and execution loop working together.
- How AI Agents Use Tools (Basics)β ββTool calling basics for AI agents: action schema, validation, execution boundary, and stop reasons for reliable production behavior.
- How AI Agents Are Allowed to Use Toolsβ β βTool calls are where agents break production: schema drift, retries, side effects, and that same 'oops' admin token. Here's how to survive.
- Planning vs Reactive: How AI Agents Choose the Next Stepβ β βPlanning vs reactive agent loops: trade-offs, failure modes, and when to choose each strategy for reliable tool-based execution.
- Why AI Agents Failβ β βUnderstand why LLM agents fail: hallucinations, context limits, tool errors, and the engineering guardrails that make agent behavior reliable.
- How AI Agents Use Memoryβ β βWithout this, every new action would be like a first attempt. Sometimes endlessly.
- What AI Agents Are Allowed to Doβ β βHow to define allowed actions for AI agents with least-privilege policies, explicit denies, and safe defaults for production systems.
- When AI Agents Should Stopβ β βBecause its job is to complete work. Not decide when enough is enough.
- How to Build Production-Ready AI Agentsβ β βYour agent works on a laptop. In production it can loop, spam tools, leak data, and burn money (depending on the use case). This is the checklist we wish we had before release.
Foundations: Core mechanics for reliable AI agents
This section covers the building blocks that prevent production breakage: tool calling, memory, planning style, limits, and production-ready criteria.
Core pages in this section
- What AI Agents Are Made Of
- How AI Agents Use Tools (Basics)
- How AI Agents Are Allowed to Use Tools
- Planning vs Reactive: How AI Agents Choose the Next Step
- How to Build Production-Ready AI Agents
FAQ
What is the best way to go through this section?
Start with the first baseline article, continue with the core pages below, and then validate the ideas with runnable examples.
Can I jump directly to advanced pages?
Yes, but you'll move faster with fewer gaps if you cover the core pages in this section first.
How does this section connect to production work?
These guides map directly to production concerns: architecture, governance, failure modes, and implementation-ready code patterns.