[KongchangAI]
ConceptAI招聘过滤系统 / AI求职自动化

AI Job Application Pipeline

A job search filtering pipeline built using AI and automation technologies. Through multi-stage filtering—data collection, rule-based filtering, AI scoring, source verification, and human review—it significantly reduces ineffective job applications and enables precise targeting.

Timeline (last 90 days)

Oct 11

The AI job-hunting pipeline the author built evaluated more than 1,500 job listings this year, automatically filtered out 1,539, and ultimately submitted only a handful of applications.

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Oct 11

Cheap hard rules should be applied to filter data before calling a model, because rules are free and auditable—a key engineering trade-off.

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Oct 11

The pipeline restricts the model's role to evaluating only the content actually loaded by the scraper; the model is responsible for judging, not for finding positions.

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Oct 11

The system rules stipulate that no position may enter the application list until the original job posting text has been loaded and read.

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Oct 11

The author handles the last mile of job applications manually—personally opening the URL, reading the content, and writing each application according to the form's requirements—without using mass-sending or templated submissions.

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