Many teams discover the hardest part of an AI workflow at the last step. The report was generated, yet no one knows which task it belongs to. A link reaches the wrong person. The workflow ends and the file cannot be found. An external system receives a paragraph of text but no actual file. Generation has finished; delivery still needs a design.
A reusable delivery path can be checked in four stages. Create a recognizable file object. Associate it with the task, user, and runtime. Choose the delivery outlet. Define the access scope and retention rule. Each stage should leave fields that a later node or an operator can inspect.
Illustration: generation, ownership, delivery outlet, and retention form one delivery chain.
Treat the file as a business artifact
A report, spreadsheet, image, or archive needs an identifiable file object. Name, extension, type, size, source node, and creation time provide the metadata required by later steps. When a file is treated as a message attachment only, permission checks, status updates, and re-downloads become difficult to manage.
ZGI’s workflow file saver can accept binary content returned by a model or a remote URL and create a file object with file type, extension, size, and URL fields. When designing a workflow, agree on the output fields first: which field contains the artifact, which carries the explanation, and which records the producing node.
Connect the artifact to the task and identity
The same report may be produced by different users, projects, and runtime instances. Delivery should retain a task identifier, user or tenant context, and the runtime record that created the file. This lets a user open the artifact associated with their own request and gives an administrator a route back to the execution that produced it.
Association also controls what happens next. An approval step needs to know which file to review. A notification step needs to know which link belongs to which recipient. An archive step needs the business record that owns the artifact. Missing association fields can leave the message and file pointing to different tasks.
| Stage | Information to retain | Typical risk | Useful check |
|---|---|---|---|
| Generation | Type, name, size, source node | Text exists but file field is empty | Inspect node output and file object |
| Ownership | Task, user, tenant, runtime ID | File appears under another task | Run samples with different identities |
| Outlet | Download, notification, system write-back | Downstream receives text only | Confirm the outlet reads the file field |
| Retention | Scope, expiry, cleanup rule | Link expires or remains exposed | Test lifecycle and access boundaries |
Select an outlet that matches the receiver
Internal collaboration may use a download link. A business system may need a file identifier or structured fields. An archive process may write the artifact back to a specific record. The right outlet depends on how the receiver continues the work, not only on whether the current page can open the file.
Signed URLs can fit temporary access because they avoid exposing the underlying storage details. For long-term retention, a workflow can store the file identifier in the business record and let the system create an access URL after checking permissions. The exact expiry period and access mode depend on the deployment configuration and should be confirmed before release.
Record delivery failures as workflow states
Generation success, upload failure, notification failure, and permission denial describe different states. Later nodes need to know which state occurred, and people need to see where the failure happened. A delivery record can include whether generation completed, whether the outlet confirmed receipt, and whether human handling is required.
ZGI runtime history can retain generated-file information. When a user reports that a link cannot be opened, check the file object first, then the link lifetime, and finally the access identity. This order keeps the investigation close to observable facts.
Cover the boundary with three test groups
Before release, test a normal file, an empty file, and a file that exceeds the configured limit. Combine those cases with different users, tenants, and expiry times. Record the generation result, task association, outlet response, and access result in one acceptance sheet.
These tests expose details that are easy to miss: whether the extension matches the content, whether a remote address can be read by the service, whether a signed link expires as expected, and whether a notification carries the correct artifact. Finding such issues near the generation step usually reduces the cost of correction.
Once delivery is designed, a generated report can move into the business process with a clear trail. The generation node produces the artifact, task and identity establish ownership, the outlet sends it onward, and the retention rule governs later access. Putting those four stages into a Workflow gives the team a repeatable path to inspect.
GitHub: https://github.com/zgiai/zgi
Gitee: https://gitee.com/zgiai/zgi
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