I’m requesting a review of AI-credit usage for this session.

I’m requesting a review of AI-credit usage for this session. I asked for current Lockheed Martin roles that a Canadian recent graduate could realistically pursue: prioritize Canada; exclude security-clearance-ineligible foreign roles; exclude co-ops/student-only roles; include only active, verified postings.

The agent consumed roughly 2,000 credits producing a list dominated by inactive/unverified, co-op-only, and foreign-clearance-ineligible roles. It missed a strong active Halifax posting I provided: **Systems Integration/Test Engineer – Software Tester Associate, 19378BR**. Please review the credit usage and consider a refund.

there is an obvious job it should have suggested that i found in 5 seconds of manual searching heres the link:

https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=30122&siteid=6598&PageType=JobDetails&jobid=2284379

This is a joke im never using garbage anthropic models again. please refund me the credits. I really like this new app (first time using it) but i would hate to cancel my plan over this. but i will.

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| Field | Value |
| --- | --- |
| App version | 1.1.6 |
| OS | Windows 10.0.19045 |
| Theme | GitHub |
| Path | /chat |
| Tenure | Day 1 |

Start by reviewing issue #2700, the reported session context, and the linked Lockheed Martin posting. Compare the requested Canada, eligibility, freshness, and student-role filters with the results and credit usage; done means determining whether the behavior is a product defect and whether a refund decision is warranted.

Written by the indexing model from the issue text.