What is the exact JSON or plain text structure needed to bypass the parsing errors in Greenhouse for a non-linear career pivot resume
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the exact JSON or plain text structure needed to bypass the parsing errors in Greenhouse for a non-linear career pivot resume
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Greenhouse Recruiting resume parsing supported file types formatting resume parsing candidate documentation Google ↗
Greenhouse resume parsing errors formatting recommendations columns tables headers Google ↗
- Unsuccessful resume parse · support.greenhouse.io
- Why didn't the candidate's resume import correctly? · support.greenhouse.io
- Supported formats for resumes, cover letters and other candidate uploads · support.greenhouse.io
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Greenhouse Recruiting resume parsing supported file types formatting resume parsing candidate documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Greenhouse resume parsing errors formatting recommendations columns tables headers OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |