The AI Job Report is generated automatically at the end of every closed job. It captures everything that happened in a single, readable document — and it’s also exposed to the customer in a friendlier version through their portal.Documentation Index
Fetch the complete documentation index at: https://docs.jingjaiops.com/llms.txt
Use this file to discover all available pages before exploring further.
When the report generates
The report is generated:- At inspection complete — the moment you click Complete Inspection at the end of Return & Inspect
- From the closed job’s Overview tab — click Regenerate Report any time after, especially if you’ve added documents or notes since the original generation
What’s in the report
The report has four sections:1. Equipment summary
A line-by-line list of what went out and how it came back, including:- Asset ID, item name, kit it belonged to (if any)
- Out date and Return date
- Final condition (Good / Damaged / Missing)
- Any condition notes you wrote at inspection
2. Issues & damage
Any item marked Damaged or Missing during inspection:- Item name and asset ID
- Condition assigned
- The notes you wrote
- Photos you attached (rendered inline in the report)
- Estimated repair / replacement cost (if you filled it in)
- Whether the cost was deducted from the deposit, charged separately, or absorbed
3. Customer notes & timeline
A digest of what happened during the job:- Notes added by your team during On Site
- Any communications logged
- Any extensions or schedule changes
- Photos from delivery, on-site, or pickup
4. Recommendations
Claude AI suggests follow-up actions based on what happened:- Inventory recommendations (“Camera Kit A’s UV filter has been damaged on 3 of the last 5 jobs — consider switching to higher-grade filters.”)
- Customer relationship suggestions (“Customer requested an extension twice in the last 6 months — they may be a candidate for a long-term contract.”)
- Operational follow-ups (“Outstanding deposit deduction of ฿1,200 needs to be reconciled in accounting.”)
Accessing the report
| Where | What you see |
|---|---|
| Job’s Overview tab | Inline render of the report with sections collapsible |
| Job’s Documents tab | The report as a downloadable PDF |
| Reports → Job History | List of all closed jobs with each report linked |
| Customer’s portal | Customer-facing version (no internal cost figures, no recommendations) |
Customer-facing version
The version visible in the customer portal is intentionally narrower:- Equipment list with friendly names (no Asset IDs)
- Issues — only items they were told about and that affected their deposit (full transparency)
- A thank-you message
- A direct link to leave feedback
Regenerating
To regenerate the report (after you’ve added photos, notes, or documents to the job):
The previous version is preserved in the audit trail — you can compare versions if needed.
What the AI is good at
- Summarizing factual data into readable English / Thai prose
- Spotting patterns across closed jobs (e.g., a recurring damage type)
- Generating customer-friendly language from internal notes
What to verify yourself
- Cost figures. The AI uses the costs you typed at inspection. If the costs are wrong, the report is wrong.
- Customer-facing language. Read the customer-facing version before you assume the customer will understand it.
- Recommendations. They’re suggestions, not analyses backed by deep statistics. Use judgment.