A real-time copilot trained on your résumé, your STAR stories, your numbers. Sub-150ms first token. Invisible to screen share by documented OS API, not by trick.
free 7-min trial · no card · no auto-renew
“Tell me about IAM permission sprawl at scale.”
─── built on the best the field has shipped ───
close-up · 01
One floating window. Always on top. Invisible to screen share. The interviewer sees nothing — you see structured bullets in your own vocabulary, streaming faster than you can blink.
“Tell me about IAM permission sprawl at scale.”
• At Stripe the merchant team had 1,200+ IAM roles with overlapping policies. • I built an IAM analyzer in Go that diffed real CloudTrail traffic against role policies. • It opened minimal-policy PRs automatically — three rollout waves, four months. • Cut 87% of unused permissions, ended at 312 roles. • IAM-related Sev2 incidents went to zero for two consecutive quarters.
Deepgram Nova-3 streaming partials at sub-150ms. Speech_final triggers the LLM only when the interviewer actually finishes — never on a fragment.
Claude Sonnet 4.6 with two cache breakpoints — base rules and your profile. After the first call, follow-ups are 5× cheaper and ~150ms faster.
The header dot tells you whether stealth is verified for the platform you're on. If it ever turns amber, you'll know before you join the call.
close-up · 02
Generic AI gives every candidate the same answer. Mirly rebuilds the system prompt every session from your résumé, your STAR stories, your target job — and is forbidden from contradicting what you actually shipped.
• Audited existing IAM policies across AWS accounts and services. • Implemented IAM Access Analyzer to monitor for unintended access. • Leveraged AWS Organizations for centralized user and group management. • Established a regular review cycle for IAM roles and policies. • Documented baseline least-privilege policies using Config rules.
• At Stripe the merchant team had 1,200+ IAM roles with overlapping policies. • I built an analyzer in Go that diffed real CloudTrail traffic against role policies. • It opened minimal-policy PRs automatically — three rollout waves, four months. • Cut 87% of unused permissions, ended at 312 roles. • IAM-related Sev2 incidents went to zero for two consecutive quarters.
live output, gemini 2.5 flash · captured in test-behavioral.mjs · replayed verbatim
specifications
01
First token
<0ms
p50, on-device whisper.cpp
02
Stealth
OS-API
NSWindow.sharingType + WDA_EXCLUDEFROMCAPTURE
03
Voice fingerprint
Per-user
résumé · STAR stories · target JD
04
Renewal
Never
opt-in renewal · 5-day reminder · zero auto-renew
benchmark
Multi-second lag is the #1 “AI tell.” A candidate who pauses 1.5 seconds before each answer reads as cheating. Sub-150ms reads as thinking on your feet.
published or community-tested perceived first-token latency · mirly number from opt-in p50 telemetry
ready when you are
Pre-warmed connections. Cached prefixes. Zero auto-renew, ever.