
AI agent workflows: examples with connected apps
Examples of AI agent workflows that combine email, calendars, files, spreadsheets, and social inboxes, plus the difference between a tool call and a completed workflow.
An AI agent workflow is a sequence of steps that moves a task from input to an outcome. A single tool call is only one step. Reading an inbox, updating a spreadsheet, and sending a draft are useful actions, but none proves that a customer task is complete until the workflow records an outcome.
A workflow has four parts
| Part | Example |
|---|---|
| Trigger | A new email, scheduled review, or user request |
| Context | Email thread, calendar availability, file, or row data |
| Actions | Search, read, create draft, update record, or notify someone |
| Checkpoint | A person approves, an API confirms, or a system records completion |
The checkpoint matters most for write actions. It tells you whether the agent finished the requested work, not merely whether its last tool call returned 200.
Example: inbox follow-up preparation
- Find unread customer emails from the last day.
- Read the thread and extract the requested action.
- Search the shared drive for the relevant document.
- Create a reply draft with links and a short summary.
- Ask a person to review before sending.
This workflow combines Gmail and Google Drive. The read steps can run without external side effects. Sending should remain an explicit approval point when a mistake would reach a customer.
Example: weekly operations review
- Read upcoming calendar events.
- Find the matching project rows in a spreadsheet.
- Flag missing owners or dates.
- Create a short status draft for the team.
- Write the approved updates back to the spreadsheet.
Calendar listing and spreadsheet reads are common ClawLink actions. The workflow is an example built from those capabilities, not a claim that production logs proved every call belonged to this sequence.
Example: social inbox triage
- List new conversations.
- Read the messages in each conversation.
- Apply a category such as support, lead, or spam.
- Draft or publish a response only under the rules your team approves.
- Record the decision in the customer system.
Production data shows high usage of Instagram message listing, Gmail retrieval, Facebook conversations, calendar events, Drive file search, and Sheets reads. See most-used ClawLink actions for the aggregate counts and their limits.
Design rules
- Start with read access. Validate the agent's context before giving it writes.
- Give every write action an owner, an approval rule, or a reversible record.
- Use real IDs from a list or search tool. Do not let a model invent a file, conversation, or calendar identifier.
- Log the tool call and the outcome separately. A successful API response is not the same as a successful business result.
- Handle retries deliberately. Retrying a read is usually safe; retrying a send or publish action can create duplicates.