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STATUSWorking workflow architecture

Job search and applications involve repeated research, manual review and error-prone handoffs. This workflow automates the busywork while keeping facts and human control intact.

01

What we built

Discovers roles through browser automation and structures the relevant data

Detects duplicates and checks content for prompt injection

Scores fit and creates fact-grounded CV and cover-letter variants

Generates documents and tracks progress in Drive and Sheets

02

Why it is hard

Canary and injection checks run before AI processing

Fact grounding prevents invented experience or qualifications

Modular, reproducible Docker services with transparent tracking

03

How it works

01

Discover

Find and structure relevant roles

02

Secure

Remove duplicates and unsafe input

03

Score

Evaluate role and profile fit

04

Tailor

Adapt content using verified facts

05

Generate

Create application documents

06

Track

Store output and track progress

04

Where it applies

Recruiting operations and candidate enablement

Document-heavy back-office processes

Secure browser and workflow automation

n8nPlaywrightPythonAnthropicDockerGoogle DriveGoogle Sheets

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