Event-driven agent workflows start when something happens: a new email, a file landing in a folder, a form submission, or a webhook. Instead of running on a schedule, the agent or workflow reacts to the event and runs the right steps—triage, summarize, notify, or update. This guide covers event-driven agent workflow design for US professionals: how to choose events, design the workflow, and integrate document and PDF handling so events that include PDFs are processed consistently.
Summary Design event-driven workflows by defining the trigger event, the payload, and the steps the agent runs. Use filters to reduce noise and one document pipeline (e.g. iReadPDF) when events include PDFs so the agent always gets reliable text and summaries. Combine with OpenClaw or similar so the same skills and orchestration run whether triggered by event or schedule.
What Event-Driven Agent Workflows Are
An event-driven agent workflow:
- Starts on an event. The trigger is something that happened: new email, new file, form submit, calendar change, or an HTTP webhook. Not "run at 7 AM" but "run when X occurs."
- Receives event payload. The workflow gets data about the event: sender, subject, file path, attachment names, form fields. The agent uses this to decide what to do and what to fetch.
- Runs a defined workflow. The same orchestration layer (e.g. OpenClaw) runs a sequence of steps: maybe get attachment, summarize if PDF, classify, notify or route. The workflow is the same whether it was triggered by event or by a manual "run now."
- Delivers an outcome. The agent might post to Slack, send an email, update a sheet, or write to memory. The user sees the result of the event-driven run without having to poll or run a cron job.
For US professionals, event-driven design means "when a contract lands, I get a summary and a notification" or "when a report is dropped in the folder, it gets summarized and added to my brief." The agent is always reacting to the right moment.
Events vs. Schedule vs. On-Demand
- Event-driven. Run when something happens. Best when timing is determined by the occurrence (new email, new file) and you want fast response. The workflow runs only when there is something to process.
- Schedule (cron). Run at fixed times. Best for daily briefs, weekly reports, or "summarize everything from the last 24 hours." The workflow runs regardless of whether anything changed.
- On-demand. Run when the user asks (chat command, button, API). Best for ad-hoc requests like "summarize this PDF now" or "prep me for my next meeting."
Many setups use all three: event-driven for immediate reaction (new contract to summarize and notify), schedule for digest (morning brief at 7 AM), and on-demand for one-off tasks. The same workflow and document pipeline can support all three triggers; only the entry point and initial payload differ. When the event includes a PDF (e.g. email attachment), the first step after "receive event" is often "extract and summarize PDF" using a single pipeline like iReadPDF so downstream steps get consistent input.
Choosing Events and Payloads
Pick events that match the outcome you want.
| Event | Typical payload | Example use | |-------|-----------------|-------------| | New email (inbox or label) | From, to, subject, body snippet, attachment list | Triage, draft reply, summarize attachment | | New file in folder | Path, filename, size | Summarize, move, notify, add to doc queue | | Webhook POST | JSON body (form data, tool output) | Start pipeline from external system | | Calendar change | Event id, title, time, attendees | Reschedule, notify, update meeting prep | | Chat message (Slack, etc.) | Channel, user, text | Run command, e.g. summarize last attachment |
For document-heavy flows, the most useful events are "new email with PDF attachment" and "new file in folder (PDF)." In both cases, the workflow needs to get the file and run it through a document step before the agent can summarize, classify, or route. Defining the payload clearly (file path or attachment ID, sender, subject) ensures the workflow knows what to fetch and where to send the result.
Designing the Workflow Behind the Event
The workflow that runs after the event should be a normal orchestrated workflow: same skills, same state, same error handling.
Step 1: Map Event Payload to Workflow Input
Turn the event into the initial state for the workflow. Example: event has attachment_url and subject; workflow state gets file_path (after download) and email_subject. The first step might be download_attachment or read_file; the next step is summarize_pdf if the file is a PDF. Use one summarization step (iReadPDF or a store it populates) so the rest of the workflow always sees the same summary format.
Step 2: Define the Steps
List the steps the agent runs after the event:
- Ingest. Get the file or message from the payload (download attachment, read file).
- Document step (if PDF). Extract text and summarize. Run through iReadPDF (or read from its output) so the workflow has summary and key_points. Skip or branch if not a PDF.
- Process. Classify, triage, or run whatever logic you need (e.g. if summary mentions contract, route to legal).
- Output. Notify (Slack, email), update a sheet, or write to memory. Optionally update document status so the next morning brief includes "1 new contract summarized."
Keep the workflow linear and testable. If a step fails, log the event ID and payload (without full body or PDF content) so you can replay or fix.
Step 3: Connect the Trigger
Wire the event source to the workflow. That might be an email watcher that invokes your orchestrator with each new message, a folder watcher that runs on new files, or a webhook endpoint that accepts POST and starts the workflow with the request body. Ensure the trigger passes the right payload (file path, attachment ID, sender, etc.) and that credentials and permissions are correct.
Step 4: Deliver and Log
Send the workflow output to one place (e.g. one Slack channel for automation alerts) and log success or failure per run. For US professionals, that makes it easy to tune filters and steps based on real usage without digging through multiple systems.
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Handling Document and PDF Events
When the event is "new PDF" or "email with PDF attachment," the workflow must handle the document before the agent can act.
- Get the file. From the event payload, download the attachment or read the file from the path. Validate that it is a PDF and within size limits if you have them.
- One document step. Run the PDF through the same pipeline every time: OCR if needed, then summarization. iReadPDF does both and can run in the browser so files stay on the device; you can also use it to prepare PDFs and pass the text or summary to OpenClaw via a script or API. The important part is one consistent step so the rest of the workflow always receives the same schema (summary, key_points).
- Use the summary in the workflow. Filter or route based on summary content, include the summary in the notification, or write it to memory. One-line highlights per PDF keep alerts scannable.
If the workflow runs on a server, a separate process might receive the file and call your extraction service (e.g. iReadPDF or an export from it); the event-driven workflow then consumes the resulting text or summary. Either way, one document step keeps event-driven agent workflows from breaking when attachment formats or scan quality vary.
Filters, Rate Limiting, and Safety
- Filters. Not every event should start the workflow. Filter by sender, subject, file pattern, or folder. Example: only emails from legal at company.com or only files matching contract.pdf. Reduces noise and cost.
- Rate limiting. If many events can fire in a short time (e.g. 50 emails), throttle or batch so the workflow and document pipeline do not overload. Cap runs per minute or batch events into a short window.
- Sensitive data. Do not log full email bodies or PDF content. Log event IDs, timestamps, and outcome; keep payloads in a secure place only if you need to debug. For documents, the single extraction step (iReadPDF) also acts as a guardrail: malformed or irrelevant PDFs can be detected and skipped or flagged instead of breaking the workflow.
- Time zones. For "notify immediately," define that in the recipient context. For all-US teams, one time zone is often enough; for global teams, consider quiet hours so alerts do not wake people at night.
Implementing with OpenClaw
OpenClaw (or a similar orchestrator) can run the same workflow whether it is triggered by an event, a schedule, or a chat command.
- Event adapter. A small layer receives the event (from email integration, file watcher, or webhook), maps it to workflow input (file_path, sender, subject, etc.), and invokes the orchestrator with that input and the workflow ID. The orchestrator does not care where the input came from.
- Workflow definition. The workflow is defined once: ingest, summarize_pdf (or get_document_summaries), process, output. The document step calls iReadPDF or reads from a store it populates. Event-driven and scheduled runs use the same definition.
- Observability. Log each run with trigger type (event, schedule, on-demand), event ID if applicable, and step results. That way you can see how often event-driven runs happen and whether filters need tuning.
Reusing the same workflow and document pipeline for event, schedule, and on-demand keeps behavior consistent and maintenance simple.
Conclusion
Event-driven agent workflow design means starting workflows when something happens—new email, new file, webhook—and running a defined sequence of steps with the event payload as input. Choose events and payloads that match your goals, design the workflow with a single document step when PDFs are involved (e.g. iReadPDF), and add filters and rate limiting for safety. Implement with OpenClaw or a similar orchestrator so the same workflow runs for event, schedule, and on-demand triggers. For US professionals, that delivers the right automation at the right time, including for document-heavy events.
Ready to trigger agents from PDF and document events? Use iReadPDF for OCR and summarization so your event-driven workflows get accurate, consistent input for every run.