CareerOS / Case Study Motion Prototype

A job
search
with
memory,
judgment,
and stop conditions.

CareerOS is a private operating system for turning scattered job signals into inspectable work: evaluate, scout, prepare, apply, or stop with a reason.

Performance Architecture

It looks like a video hero, but the first version ships as CSS.

The backdrop avoids a heavy autoplay video on first paint. It uses fixed-size layers, transform-only motion, subtle SVG noise, and a static proof board so the page still works when animation is reduced.

Default

CSS/SVG motion backdrop

Best first ship: no media download, no codec risk, no autoplay policy, and low CPU when animations are transform-only.

Optional

Compressed video layer

Add later as AV1/WebM plus MP4 fallback, poster frame, `preload="metadata"`, and reduced-motion suppression.

Future

Generated directed media

Veo/Imagen/Gemini TTS can create story clips, stills, and voiceover once the script, rights, and quota are locked.

Noisy Intake

A job search is an operating problem.

Every source creates a decision: ignore, evaluate, scout, draft, apply, pause, or stop. CareerOS keeps those decisions visible instead of scattering them across tabs and notes.

Inspectable Judgment

Automation is only useful when the reasoning stays attached.

The workflow keeps evidence, fit signals, blockers, and artifacts close to the next action, so speed does not erase judgment.

Directed Output

The artifact is the interface between thinking and action.

Evaluation reports, scout notes, readiness checks, and application packages become reusable proof of work, not one-off chat output.