See llms.txt for all machine-readable content.
Forwarded documents, handled. This workflow takes business document photos sent to a webhook, reads them with AI vision, stores structured records in Postgres, and emails your ops team a summary. Unreadable files get flagged, open items get daily reminders.
Last updated: September 2026.
This workflow accepts forwarded business document images via a webhook, uses OpenAI gpt-5.6-terra Vision to classify and extract key fields, stores the result in Postgres, and emails operations a summary or an error notice, plus a daily reminder email for any documents still marked open.
biz_documents table and emails the extracted summary to the operations inbox via Gmail.done and older than 24 hours, and emails a follow-up list to operations via Gmail.gpt-5.6-terra model.biz_documents table with columns used by the INSERT/UPSERT query (including a unique doc_id and a status field).docintake path and configure your intake source to POST image_url or image_base64 (and optional doc_type, note, submitter) to it.What if a document can't be read?
Operations gets an "unreadable document" notice by email instead of silence.
How are open items chased?
Every day at 08:00, documents still open after 24 hours land in a follow-up email.
Where is data stored?
A Postgres biz_documents table with a unique doc_id per record.
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