giw-gen5 console

run history staging

Run 9f72c19a

$0.001931
total cost
21,504
input tokens
60%
cached
4
turns
completed
status

arc peak · pack behavioral.personal@1 · voice terse_skip · stage early · tier free · mode assessor

Total cost

componentshareusd
LLM measured billed by the provider, reconcilable against the gateway log 5.6%$0.001931
TTS estimated 636 chars the interviewer would speak 27.8%$0.009540
STT estimated 179s of candidate audio · Cloudflare Workers AI — @cf/openai/whisper 66.5%$0.022818
total $0.034290

TTS $15/1M chars · STT $0.00762/audio-min · speech figures are ESTIMATES from the transcript — no audio was produced or transcribed

STT rate source: neuron rate inherited from probe-atlas; neurons-per-minute is an unverified guess

Transcript & scoring

turn 1 · pull · motivation · core

Q. What's drawing you to this role?

That's a solid, grounded answer.

A. Honestly, the core of it is the scale and the problem space. I’ve spent six years building backend systems, mostly in Python and Go, and the last big thing I did was leading a payments migration. That was all about correctness, reliability, and handling money moving under heavy load. This role feels like a natural next step — same kind of high-stakes systems, but a different domain, which is exciting. I’d get to bring that experience to a new set of challenges. Plus, the tech stack lines up with what I enjoy working in day to day, so I know I can contribute pretty quickly.

score 6.5/10 solid · llm $0.000373 (3876 in, 1664 cached, 208 out) · tts 64ch $0.000960 · stt 42s $0.005336
The answer names a concrete pull (payments domain, tech stack) tied to their own experience, but lacks any company-specific evidence, so it lands just above the middle.
turn 2 · evidence · self_awareness · core

Q. Tell me about a time you got tough feedback on your coding or teamwork. What did you do with it?

That's a sharp example.

A. Honestly, the one that sticks out was early in the payments migration. My tech lead pulled me aside after a code review and said my PRs were too big and too clever — I was optimizing for elegance instead of reviewability. It stung, because I thought I was doing great work. But he was right. I started splitting changes into smaller, incremental PRs with clear context, and I wrote more upfront docs explaining the *why*. It slowed me down at first, but review time dropped by maybe 60%, and we caught way fewer integration bugs in staging. That feedback changed how I work with teams permanently.

score 8.5/10 strong · llm $0.000236 (4094 in, 2944 cached, 239 out) · tts 119ch $0.001785 · stt 42s $0.005387
The answer provides a specific situation, the feedback, a concrete change, and a measurable outcome, meeting the 8+ criteria; slight deduction for not addressing ongoing coachability beyond the single instance.
turn 3 · evidence · self_awareness · followup

Q. You mentioned you thought you were doing great work — what was the gap between how you saw yourself and how your lead saw you, and how did you close it?

That visibility shift clearly paid off for you.

A. Honestly, the gap was communication. I thought I was doing great because I was shipping solid code — my payments migration work was on time and stable. My lead agreed, but he saw me as a "solo operator." I wasn't surfacing risks early or looping in stakeholders until something was done. He wanted visibility, not just results. So I started sending a short daily update — what I shipped, what was blocked, what I'd do next. And I made a point to flag potential issues before they became surprises. Within a month, he started pulling me into bigger architecture discussions. The technical work hadn't changed; my visibility had.

score 8.5/10 strong · llm $0.000248 (4219 in, 2944 cached, 218 out) · tts 199ch $0.002985 · stt 43s $0.005489
The answer provides a specific weakness, the feedback source and content, a concrete behavioral change, and a resulting outcome, meeting the 8+ criteria; slight deduction for not quantifying the result.
turn 4 · aim · trajectory · core

Q. Where do you want your work to take you in the next few years?

That's a clear-eyed view of where you're headed.

A. Honestly, I want to keep growing as a backend engineer, but I’d like to start owning bigger chunks of the system rather than just features. In the next few years, I see myself moving into a staff-level role — the kind where you’re setting technical direction and mentoring other engineers, not just shipping tickets. I really enjoyed leading that payments migration a couple years ago. It gave me a taste of what it’s like to drive a project from design to rollout, and I want more of that. Ideally, I’d stay deep in the code but also become the person people come to when they need to think through trade-offs around scalability or reliability. So, less "fix this bug," more "how should we build this for the next five years."

score 6.5/10 solid · llm $0.000929 (7001 in, 2944 cached, 1261 out) · tts 110ch $0.001650 · stt 52s $0.006607
Names a concrete direction (staff-level, technical direction) and grounds it in a real past project, but never connects it to this specific role, so it stops short of the 8+ bar.

Cost by stage

stagecallswasted incachedthink outcost
analyze_turn4 81486656 0721 $0.000429
final_feedback1 28020 01032 $0.000681
generate_questions1 23142304 0492 $0.000146
interviewer_turn4 82403840 0173 $0.000675