What is ApplyFlow Radar?

A hosted workflow radar for local-first AI job search teams that need job fit scoring, portal scan planning, application evidence, and export-ready career operations.

Does the service submit applications automatically?

No. The workflow is designed for human-approved job search decisions, evidence review, and exportable tracking.

How does annual billing work?

Annual checkout uses a 50% discount and is a one-time purchase for the selected cycle with no automatic renewal.

Visitors are looking for plugin or extension paths around the workflow.

Plan career-ops plugin workflows before wiring local tools

ApplyFlow Radar maps plugin-style needs into a safe work plan: what to read, what to store, what to export, and what should remain human-confirmed. It is useful before building local scripts, browser helpers, or workflow extensions.

Map a plugin workflow View pricing plans

When this page helps

Define a plugin before writing code
Separate read-only scanning from application actions
Create a reviewable handoff for a developer

How the workflow runs

Choose the workflow surface
List data inputs and allowed outputs
Review risk and privacy notes
Export the implementation brief after checkout

Risks to review first

Browser automation can violate site terms
Plugins should not store unnecessary personal data
Credential handling must stay outside public code

Extension planning

Define read-only plugin behavior before any browser helper is wired.

The plugin path turns vague extension ideas into a boundary sheet: allowed inputs, allowed outputs, review gates, and data that should never be stored.

Checkout Operator annual

Output receipt Plugin boundary receipt

Captures surface area, credential boundary, input list, output list, review gate, and implementation brief.

Related workflows

Next routes for workflow extensions.

Open Source AI Job Search Workflow RadarVisitors want a practical open source AI job search workflow, not another generic resume builder.Job Portal Scanner AI for Greenhouse, Ashby, Lever, and Career PagesVisitors want to scan ATS-backed career pages and turn scattered roles into a decision queue.Career-ops GitHub Workflow CompanionVisitors searching for the GitHub project need a practical way to understand and operationalize the workflow.Career-ops AI Readiness WorkbenchVisitors want to know how AI helps the job search without blindly submitting applications.How to Use Career-ops Without Losing the Application TrailVisitors want a usage path, setup order, and practical operating model.Career-ops Claude Workflow NotesVisitors want to connect Claude-style assistant workflows to career operations.