Role Management
Manage active job openings and AI-driven candidate pipelines.
Edit Role
Role Configuration
Define the parameters and context for this interviewing agent.
Generate from Job Description
Upload a JD and let AI draft the role details, questions and scoring…
Upload a JD file or paste text below. AI will auto-fill all fields including questions, scoring criteria, and role details.
This context is passed to the AI interviewer. Be specific about the role's technical requirements and culture.
Standardized = fair comparison; Adaptive = deeper follow-up for strong candidates.
When checked, candidates must have a functioning camera before the interview starts.
Job Posting (Public)
Fill these to show a rich job description on the public job board. All fields are optional — a role with none set still works.
Candidate Requirements
Define fields candidates must fill out before the interview (e.g. portfolio URL, code sample).
Interview Questions
Configure the questions and evaluation criteria for this role.
Questions
No questions yet. Click "+ Add Question" to get started.
Scoring Criteria
Review Role Setup
Review all configuration before saving.
Public Applications
Screening Questions
Define pass/fail screening criteria. Candidates must answer before submitting. Disqualified applicants see a polite decline — conditions are never shown to them.
No screening questions yet. Click "Add Question" to get started.
Select a candidate to edit, or click "New" to add one.
Edit Candidate
Resume Assessment
Ready to Interview?
Select a role and candidate to begin the AI-powered interview session.
AI‑powered hiring
Interviews that meet you
where you are.
Skip the résumé black hole. Every applicant gets a real, AI‑guided voice interview — a fair chance to showcase yourself, in your own words, on your own schedule.
Tell me about a time you owned a project end‑to‑end.
At my last role I led the migration of…
Why apply here
Get noticed — everyone gets an interview.
No résumé black hole. Applying here earns you a real, structured interview — your chance to be heard in your own words and show what you can actually do.
Showcase yourself
Answer in your own voice, not a keyword filter. Substance over résumé polish.
A fair shot
The same structured questions and scoring for every candidate — no “who you know.”
On your schedule
No back-and-forth booking. Interview whenever it suits you, from anywhere.
Actually heard
Your responses are reviewed by the hiring team — and you hear back.
The process
Three steps, start to finish.
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01
Apply
Submit your application and share the materials needed to get started.
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02
AI voice interview
Complete a structured voice interview guided by our AI interviewer, at a time that suits you.
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03
Get reviewed
Your responses are scored and reviewed by the hiring team, who reach out with next steps.
Interview Complete
The interview has been completed successfully.
How was your experience?
Your feedback helps us improve. Takes 30 seconds.
Applications
Providers
Model assignments
Recent key changes
Each LLM task uses a system-prompt template. Edit a template to override the shipped default, or reset to revert. A saved template must keep every required {variable} for its task.
Run a golden set of inputs through candidate models for a task and compare quality / cost / latency, so model assignment is evidence-based. Quality is scored by an LLM-as-judge and is approximate — use the manual override to correct it. Runs are metered (they spend real tokens); an estimate is shown before you run. Evaluates text LLM tasks only — STT/TTS voice quality (WER, voice) is out of scope.
Golden cases
Candidate models
Pick the models to compare (run is capped at 60 cells; the cost estimate updates below).
Scorecard
Recent runs
Summary
Criteria fit
Interview integrity
Strengths
Weaknesses
Integrity Assessment
Candidate Submissions
Candidate Feedback
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