Where you see your agent’s steps depends on the platform you’re using — but every well-built agent system gives you some form of run log or activity feed. Knowing where to look is the first skill to develop.
Where Agent Steps Are Recorded
Most agent platforms log what they do somewhere — the question is whether that log is exposed to you in a readable way. In the Claude Cowork environment, every skill run is logged to a database table (wp_agent_logs) that records the skill name, status, input summary, output summary, and timestamp. You can query this directly or view it through a dashboard. In n8n or Zapier automations, each workflow execution has a run history showing every node that fired and what it returned. In custom agent builds using the Claude API, you typically need to implement your own logging.
If you’re using a platform and can’t find where the logs are, look for terms like “execution history,” “run log,” “activity feed,” or “audit trail” in the platform’s settings or dashboard. If none of those exist, that’s a gap worth flagging — and a reason to build your own logging layer before deploying the agent for real work.
Reading a Step List
A typical agent run log shows a sequence of numbered steps. Each step has a name (what the agent tried to do), a status (success, failed, skipped), and often an input/output pair showing what went in and what came back. Reading top to bottom tells you the story of the run. The first step is usually interpreting the instruction. The middle steps are tool calls and decisions. The last step is producing the final output or taking the final action.
What This Means for Educators
For coaches and consultants running campus automation, checking your agent’s step log once a day for the first week after deploying a new agent is a reasonable habit. After that, you can check reactively — when a student reports something unexpected, or when an output looks off. The log is always there when you need it.
The Simple Rule
Find your platform’s run log before you deploy your first agent for real work. Know where it is. Check it the first three times the agent runs. Then check it whenever something feels wrong.