Automated README summary
Automatically summarized from the README on 3 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
An n8n workflow that ingests incoming Gmail emails with CV attachments (.docx/.pdf), extracts the text, classifies candidates with JEV, and routes structured records into Airtable.
How it uses Jev
JEV classifies each candidate by Area (Dev, Support, DB, Infra), Academic Level, and Years of Experience. The workflow sends the extracted CV text to the JEV API (authenticated via Header Auth / Bearer Token); the resulting classification drives a Switch node that inserts the candidate into the corresponding Airtable base.
Primitives:choice
Technique worth stealing
Using a typed classification model to route unstructured CV text into fixed Airtable categories.
Try it
Import the workflow into n8n and configure Gmail OAuth2, Airtable Personal Access Token, and JEV Header Auth credentials.
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.14.0- Project signals
jev-1.14.0- Category
jev-1.14.0- Pattern tags
jev-1.14.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectFound in material0.72
- Shows a System One patternnot found in the excerpt0.16
- Describes handling uncertaintynot found in the excerpt0.03
- Reports measured numbersnot found in the excerpt0.02
- Is a runnable toolFound in material0.86
- Top-10 learning shortlist signalnot found in the excerpt0.21
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale1.06 / 2
- About JevFound in material0.96
no-judgment band (0.40–0.60)
Design patterns
No pattern scored above the reporting threshold.
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 3 Nov 2026.