Q01
What happens when the Red Team rejects my draft?
The Red Team automatically triggers a re-write cycle. It returns a rejection report with specific clichés flagged, then the Content Writer revises accordingly. This loop repeats until the draft clears the adversarial gate — you never see a rejected draft.
Q02
What does the amber field system mean?
When the AI cannot verify a metric from your resume or the JD, it leaves a [Insert Your Number] placeholder highlighted in amber. You type your real figure directly into the document before downloading. No fabrication, no guessing. An amber field means the run succeeded — you got a finished document — so it is not a refund case. The two remedies are separate: if a run is blocked and delivers nothing usable, that credit is refunded; if a delivered document cannot clear the 80 ATS floor, your next run is on us.
Q03
What's the difference between a Pivot and a Direct Match run?
In a Direct Match run, the agents optimize for ATS precision — mirroring the exact JD keywords, suppressing unrelated experience. In a Pivot, they identify transferable functional skills and reframe the narrative before keyword optimization. The agent pipeline reconfigures completely based on your selection.
Q04
Why does the system need my resume if I'm targeting a specific job?
Your resume is the source of truth. It contains experience data, tenure signals, and career history that the AI uses to construct credible, verifiable bullets. Without it, the system has nothing to build from — and would be forced to hallucinate. That's exactly what we refuse to do.
Q05
Does 'credits never expire' actually mean never?
Yes. Credits are permanent execution units, not a monthly lease. Buy 50 today. Use one tomorrow. Save the rest indefinitely. No ticking clock, no renewal pressure, no expiry email. The credits are yours.
Q06
How is this different from just using ChatGPT with a resume prompt?
ChatGPT is a single model you have a conversation with. This is a 20-agent DAG pipeline where each agent has a dedicated cognitive task. The Parser uses one model for extraction, a reasoning engine for gap analysis, the Red Team adversarially attacks the draft, the Memory Bank queries 36,000+ real job records. You cannot replicate an adversarial QA gate in a ChatGPT prompt.