The 47 open rows cannot be recovered from these images, and 33 of them cannot be recovered from Teams either as currently written.
The images are real, plentiful, and high quality. They contain 288 genuine claim IDs and all six coaches. They are simply not pictures of the conversations the worklist is asking about. Two prior sessions treated the 47 rows as a lookup task waiting on captures. The captures arrived, and the rows still do not resolve, for two independent reasons that are both provable from the files.
Reason one: the claim IDs that identify those rows were misread. Six of the 31 are structurally impossible claim numbers. Reason two: 40 of the 47 rows are 7/22 interactions, and no capture in the corpus shows a 7/22 thread.
1,335 IMG_* files reduce to 506 unique images once the Finder duplicates
(IMG_2971 3.jpg) collapse onto the largest file per number. Every one was read with
macOS Vision OCR at full resolution. The text comes back clean: times, names and claim numbers are
all legible, which matches the skill's note that phone photos OCR reliably.
| File date | Images | Teams captures | What they show |
|---|---|---|---|
| 2026-07-23 | 236 | 186 | Coach threads for 7/21 through 7/23 |
| 2026-07-27 | 68 | 62 | Coach threads for 7/24 and 7/27 |
| 2026-07-28 | 198 | 197 | Coach threads for 7/27 and 7/28 |
| older strays | 4 | 0 | Unrelated photos from May and June |
Classification of all 506: 445 Teams captures, 57 photos carrying no text, 4 other. Every coach is represented, so the corpus is not thin on any one person.
| Coach | Frames appearing in |
|---|---|
| Toveta Jenkins | 167 |
| Margarita Rosa Del Valle | 130 |
| Tami Bales | 125 |
| Raushanah Muro | 82 |
| Fabian Andres Sierra | 52 |
| Jonathan Mosquera | 27 |
This is the finding that explains everything else. Of the 31 worklist rows carrying a claim ID, exactly one appears anywhere in 506 images. That is a strange result for a corpus holding 288 genuine claim numbers, so I tested the IDs themselves instead of trusting them.
The check-digit signature is consistent across four sources that were produced independently of each other.
| Source | Distinct IDs | Ending in 1 | Ending in anything else |
|---|---|---|---|
| Image corpus, Vision OCR | 288 | 287 | 1 (itself a smudged read) |
| Sibling session hand-reads, hi-res | 91 | 91 | 0 |
| Workbook rows marked Verified | 13 | 13 | 0 |
| Workbook rows marked Video OCR | 36 | 36 | 0 |
| The 47-row open worklist | 31 | 25 | 6 |
These six numbers cannot be claims. No verified sample anywhere in the project ends this way.
A further 11 of the remaining IDs sit exactly one digit away from a real claim number in the corpus, which is the signature of a character-level misread. A set of claims that happened to be absent would not cluster one digit away.
| Worklist ID | Nearest real ID in corpus | Digits different |
|---|---|---|
| 2804513361 | 2804913361 | 1 |
| 2804913261 | 2804913361 | 1 |
| 2805260721 | 2805260621 | 1 |
| 2805543451 | 2805543551 | 1 |
| 2805548491 | 2805538491 | 1 |
| 2805485841 | 2805485141 | 1 |
| 2805539101 | 2805533101 | 1 |
| 2805542111 | 2805542141 | 1 |
| 2805542541 | 2805542141 | 1 |
| 2805543581 | 2805543511 | 1 |
| 2805578491 | 2805538491 | 1 |
None of these near matches should be written into the dataset. A one-digit gap is evidence that the ID is unreliable, and it is not evidence of which claim was meant. Assigning them would be inventing data.
The skill's own assumption needs correcting. SKILL.md section 6 says that on
720p screen-recording video, "claim IDs read" and that times and names do not. The digit evidence says
the IDs did not survive either. Every corrupt ID on the worklist traces back to that video pass.
40 of the 47 open rows are 7/22 interactions. Searching all 506 frames for a 7/22 message timestamp returns 11 frames, and in every one the 7/22 stamp belongs to a quoted reply block inside a later day's view.
The reason is how the captures were taken. A Teams thread shows the current day and the one before
it, which is why Yesterday appears in 189 frames and Today in 47. Nobody
scrolled back to 7/22. The photos start on 7/23 and move forward.
| Interaction date | Open rows needing it | Frames showing that day | Recoverable |
|---|---|---|---|
| 2026-07-21 | 5 | 11 | partly |
| 2026-07-22 | 40 | 11 (quoted only) | no |
| 2026-07-23 | 2 | 18 | partly |
Matching each open row against the OCR text by keyword, setting the unreliable ID aside, separates them cleanly.
33 rows contain nothing but a ten-digit number. No question, no claim name, no context. The ID is the only handle they have, that ID came from the unreadable video pass, and six of them are provably impossible. These are not tasks waiting on a screenshot. As written they cannot be looked up by anyone, because there is nothing reliable to look them up by.
The other 14 carry real question text and can be searched on words. Their keyword hits need reading one at a time, and most turn out to be coincidence. Three survived inspection.
Every time below was read off a capture. None was inferred, and none was carried over from a previous file.
Ann Rozario Yesterday 3:11 PM Edited Hello, Origami Risk - ACOSTA, SILVERIO (2805109301) EE Margarita Rosa Del Valle Yesterday 3:30 PM [Reviewing] Margarita Rosa Del Valle Yesterday 3:37 PM Per coach MD you can move Medical/Indemnity Payments Validated (Injury) to yesThis row also gains a claim ID it did not have.
Yonny Saldarriaga Yesterday 2:03 PM Origami Risk - RDS - Request Duty Status, since someone else mistakenly sent the email with the RDS3 two days later. Tami Bales Yesterday 2:06 PM [Reviewing] Tami Bales Yesterday 2:13 PM You can just set the RDS3 LTI task as normal. We will not resend the email and management will have additional time to respond.
SKILL.md section 6. It currently tells the next session that claim
IDs survive 720p video. They do not, and that instruction is what sent two sessions looking for
claims that were never numbered correctly.teams_reads.jsonl and rebuild. That is a small, safe,
fully evidenced gain.Dedupe on the IMG number keeping the largest file per number, then macOS Vision OCR at
accurate level with language correction off, reading HEIC directly through
CGImageSource so nothing was resampled or downscaled. 506 frames, 10 parallel
workers. Every artifact was written to a session scratchpad, so nothing in
~/Projects/_outputs/audit/ or ~/Downloads was modified by this pass.
~/Downloads. Day anchoring above uses in-thread labels and quoted headers. File timestamps were not used
for it.