DOCUMENT OPS
Signed PDF Completeness Gate from Dropbox Folder
Watches a Dropbox folder for returned signed PDFs, extracts every page, and flags any missing initials, blank signature blocks.
How it runs
The automated pipeline, trigger to output.
- TriggerNew PDF added to Dropbox returns folderDropbox
- ActionDownload PDF and split into per-page imagesDropbox
- ActionRead initials, signature blocks, and page numbers with OpenAI visionOpenAI
- LogicCheck every required initial, no blank blocks, pages in order
- OutputMove to accepted or needs-rework folder with defect listDropbox
What it does
This workflow turns a Dropbox "returned signatures" folder into a quality gate. Every PDF dropped in is parsed page by page, checked for completeness, and either marked clean or kicked back with a precise list of what is missing.
When to use it
Use it when signers email or upload completed contracts and you cannot trust that every page was initialed and every block was signed. It catches the common failure where a signer skips an initial line or returns pages in the wrong order, before the gap becomes a legal problem.
How it works
- 1A new file landing in the watched Dropbox folder triggers the run.
- 2The PDF is downloaded and each page is sent to an OpenAI vision call that reads initial lines, signature blocks, and the printed page numbers.
- 3A logic step compares findings against the expected schema: every required initial present, no empty signature block, page order strictly ascending.
- 4If any check fails, the file is moved to a Dropbox `needs-rework` subfolder with the defect list written alongside.
- 5Clean documents are moved to an `accepted` subfolder, completing the gate.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect OpenAIModels, embeddings, files.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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