How we stream tailored resumes token by token
Why we render the resume as it generates instead of making you watch a spinner — and the failover that keeps it from ever hanging.
How we stream tailored resumes token by token
Waiting on a spinner is the worst part of any AI product. You don't know if it's working, stuck, or about to fail. So we don't make you wait blind.
Structured streaming
When you tailor, the model emits your resume as a structured object — and we stream it to the browser as it forms. Section headers, bullets, and the match score appear progressively, in place, the moment they exist. You watch the resume assemble itself instead of staring at a loading state.
Failover you never see
A live stream is only as reliable as the model behind it. Our primary engine is Google Gemini; if it's unavailable, the request transparently fails over to a second provider before a single byte reaches your screen. You get the same streaming experience either way — and on the rare day a provider has an outage, your resume still generates.
Fast is good. Fast, visible, and resilient is the bar.