Three-way match purchase orders against delivery and invoice docs with ChatGPT agent
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Evidence: Screenshots or logsThe source shows screenshots, a transcript or the agent's output.
Outcome
In about 4 minutes ChatGPT agent checked that all 5 POs had matching delivery and invoice documents with no variances, combined the PDFs, and wrote a short report.
Poster says:Done in around 4 minutes
This is the source's own number. We haven't measured it.
Agent
Prompt Recreated prompt
The source did not publish its exact prompt. This one is our reconstruction from what the source describes.
Not sure how to start? Tell me what you're trying to get done and I'll help you turn it into a clear request. Goal: Check that every purchase order in my Google Drive folder matches its delivery document and its invoice, and flag anything that doesn't line up. Quick check first: which folder should you use, and is there anything specific I want you to look for, like quantity, price or missing paperwork? What I need from you: - Access to the Google Drive folder - The purchase orders, delivery documents and invoices in that folder Rules: - Match each purchase order to its delivery document, then to its invoice. - Keep a simple .md checklist as you go: one line per order, what it matched, and whether anything was off. - If something doesn't match, note it next to that order in the checklist. - If you can't tell which document goes with which order, or one is missing, ask me instead of guessing. - Don't change, move or delete my original files. Output: 1. One combined PDF per order (order + delivery document + invoice) 2. A short report saying which orders matched and which had problems 3. The finished checklist file Stop there and hand everything back to me to review. If any of this is unclear, tell me what you have and I'll help fill the gaps. You'll know it worked when: every order is marked either "matches" or "problem found," with details for any problems.
Source
https://x.com/jand__/status/1946283011445784991
By Justin (@jand__) · Published Jul 18, 2025 · Added Oct 15, 2026 · Last verified Oct 15, 2026
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