GuideTechnology
12 min read
Agents and AI workflows fail in predictable ways: wrong tools, compounding errors, endless loops, confident 'done' messages that are not true and hostile content. This article lists the failure modes, then shows how to design for reliability with validation, escalation, approval gates, evaluation sets and staged rollout, including a runnable approval-gate example.
GuideTechnology
11 min read
How can a language model that only produces text check a calendar, search a database or edit a file? Through tool calling: the model asks, your program acts. This article explains function calling, the Model Context Protocol and the agent loop, with a runnable toy loop that shows allowed tools, step limits and what the model never does itself.
GuideTechnology
10 min read
Chatbot, workflow, automation, AI-assisted workflow and agent are often used as if they mean the same thing. They differ in who decides the next step, and that difference drives reliability, cost and risk. This article defines each, compares them on one task and gives a decision method built on one rule: use the simplest system that reliably works.
