How AI Agents Actually Work

Short summary

A brief overview explaining that AI agents are fundamentally a loop of observation, planning, tool-calling, and result-reading. It identifies context window limits, tool reliability, and error handling as the three pillars that determine whether an agent works in production, with memory tying long runs together. The post is essentially a teaser linking to a fuller breakdown on an external site.

• •AI agents operate as a loop: observe, plan, call tool, read result, repeat
• •Context window, tools, and error handling are the three critical production concerns
• •Memory management keeps agents coherent over long multi-step tasks

Generated with AI, which can make mistakes.