Chase / Remind / Follow-up AI Agents: 10 Real Examples

This directory currently includes 10 recipes for the chase / remind / follow-up pattern, across 7 roles. Follow-up agents watch the state of a task, conversation, invoice, application, or commitment and send the right reminder when progress stalls. They are useful when important work does not fail because people lack information, but because the next nudge is easy to forget. The examples show how an agent can keep context attached to the reminder and escalate only when a defined condition is met. Good follow-up design respects the recipient and avoids turning every delay into a notification. Define the state to track, the timing, the owner, and the stop condition before automating the message. Start with a workflow that already has a clear cadence and visible outcome, then tune the language and escalation rules from actual responses. Every example makes its inputs, output, and handoff concrete, so you can compare real workflow boundaries before adapting the pattern to your own tools and process.