What this explains
Key ideas
What it means
Inspect past runs, inputs, outputs, status, and approval state. This concept affects how users choose the right workflow, avoid setup mistakes, and interpret what they see in DitLead.

Where it shows up
Look for this concept inside AI agents and automation and in adjacent workflows that depend on the same data, permissions, accounts, or campaign state.

Why it matters
Understanding this before acting helps prevent duplicate data, bad-fit audiences, disconnected senders, failed campaigns, or confusing handoffs between teammates.

What to check
Before making changes, confirm the workspace, affected records, required permissions, and any downstream workflow that may use the result.

How to use this
FAQ
Why does understand agent run history matter?
It helps users understand how AI agents and automation works before they make changes that affect data, outreach, automation, or reporting.
What should I read next?
Use the related guides below to move from the concept into a specific workflow or setup task.
Let agents research, enrich, or draft work, then review outputs before they affect your workspace.