Alpha • Design partners wanted
Hiring signal you can trust
in an AI-assisted world
AI made "correct code" cheap. What matters now is judgment: scoping, tradeoffs, debugging, and how candidates verify AI output. HireAegis Interviewer gives you reviewable evidence—not impressions—so interviewers agree and decisions stay explainable.
Replace puzzles and take-homes with a real build session that reveals reasoning, verification, and AI collaboration.
- Reduce false confidence: see reasoning, tradeoffs, and debugging under real constraints.
- Make AI use evaluable: distinguish "accelerates judgment" from "replaces it."
- Align reviewers: artifacts + notes that make decisions consistent and explainable.
Low-risk pilot:
3–5 sessions→Reviewer agreement→Go/no-go decision
No candidate setup docsBrowser-based IDENext.js templates includedLive AI transcript
Interviewer preview
See the interview surface
Code + AI + context in one place
Frontend build interview
HireAegis Interviewer • scheduled • 45m
Live43:12
app/page.tsx
Updated 03:01 AM • Template nextjs_ts
Watching: Interviewer
AI signals
Prompts + responses stream live
3 prompts
Candidate03:00 AM
Clarify edge cases before coding.
AI03:00 AM
Candidate03:00 AM
AI signals
Visible
Briefing
Included
Candidate link
Shareable
Workflow
Run an interview end-to-end
A lightweight flow that's easy on candidates and makes reviewer decisions explainable.
01
01
Create a room
Pick a template + question briefing and generate a candidate link.
02
02
Invite the candidate
Send a single link. The candidate joins in the browser.
03
03
Observe live work
Watch code edits, build output, and AI collaboration in real time.
04
04
Review artifacts
Use transcript + code changes + build logs to anchor your debrief.
Outcomes
What changes when you can see real work
Without social proof, the fairest promise is simple: clearer evidence. The goal is to make decisions less subjective and more consistent across interviewers.
Better reviewer agreement
Artifacts give your panel shared context: what happened, when it happened, and what the candidate tried.
Less “vibes-based” debriefing
You’re not relying on memory. You can point to transcript moments, code changes, and build logs.
AI usage becomes signal
Instead of policing AI, you can evaluate prompts, verification, and judgment—how the candidate actually works.
Common use cases
A few ways teams use HireAegis Interviewer when puzzles feel misaligned with the role.
- Replacing (or complementing) puzzles for product roles.
- Calibrating interviewers with consistent review artifacts.
- Evaluating "ship skill": debugging, tradeoffs, and iteration speed.
- Making AI collaboration visible and reviewable.
Fit
Who this is for (and who it's not)
HireAegis Interviewer is intentionally narrow in alpha: it's built for evaluating real product engineering work, not proctored exams.
Great fit
- Hiring frontend / fullstack / product-minded backend engineers.
- You want to observe scoping, debugging, and communication — not puzzle performance.
- You assume candidates use AI and want that behavior visible and reviewable.
Not a fit (yet)
- High-volume proctored screening where lockdown is the primary requirement.
- You need enterprise SSO, complex permissions, or deep ATS integration in week one.
- Your roles are best evaluated with algorithmic puzzles (and you're happy with the signal).
Product Walkthrough
See what makes this different
Not a puzzle platform. Not an algorithm test. A real development environment that evaluates how candidates actually work.
Join in seconds
No account, no installs
Candidates start coding in under 60 seconds
Not 'create an account and verify your email'
Interview RoomJoin your interview
Frontend Developer • 45 minutes
No account required
No installsNo sign-upUnder 60 seconds
Zero friction•No account•No installs
Start a pilot
See these features in action with your own questions
Candidate experience
Respect the candidate’s time (and reduce drop-off)
Candidate experience matters, especially when you’re hiring in competitive markets. The workflow is designed to start quickly and feel job-relevant.
One link, no setup docs
Candidates join in the browser. No local installs, no environment troubleshooting, no “can you see my screen?”
Realistic project context
Use a consistent template so candidates spend time building—not fighting scaffolding or broken tooling.
Clear expectations
Briefings are explicit: prompt, requirements, and what “good” looks like—so the interview is fairer.
What candidates can and can't do
Candidates can use AI, run builds, and iterate. Today's alpha templates focus on Next.js to keep the experience consistent. If you need additional stacks, we'll align on what's realistic for early access.
Security
Transparent isolation and access (alpha)
No hand-wavy claims. Here’s how previews run today, what gets stored, and how access is gated.
Where code runs
Preview builds run in short-lived Docker containers on the same host running HireAegis Interviewer. Previews are proxied from localhost through a stable URL path.
Who can access previews
Preview requests are gated. Access is limited to the candidate in that room (via the room link/session) and interviewers who are members of the workspace.
What gets stored
Room briefing, project files (the candidate's edits), build logs, and AI prompts/responses for review. We can align retention and deployment requirements during onboarding.
Have strict requirements?
If you need tighter isolation, network restrictions, or a specific deployment model, we'll walk through your constraints and adapt the alpha to match.
Pilot
What a pilot looks like
A short, low-risk way to see if real build interviews improve your signal — before you change your whole funnel.
01
01
Sign up
Create an account in minutes.
02
02
Schedule onboarding
You'll get an email to book a 1:1 and align on needs.
03
03
Run 3–5 sessions
Observe live work and gather evidence for review.
04
04
Decide with evidence
Keep, tweak, or stop based on reviewer agreement and outcomes.
What it takes
- 1:1 onboarding, then 3–5 sessions.
- One reviewer who cares about calibration and consistency.
- Docker available on the interview host for preview builds.
What we measure
- Reviewer agreement and "explainable" decisions.
- Candidate experience (clarity, fairness, time-to-start).
- Time spent reviewing per candidate, anchored to evidence.
What you get
- Calibrated question + briefing you can reuse.
- Review workflow that stays consistent across interviewers.
- A clear "go / no-go" decision for rollout.
The shift
Why now
AI changed screening. "Correct answers" don't prove competence anymore. The reliable signal is now how candidates reason, verify, and recover while building real product work.
Puzzles test memorization — not product judgment or collaboration.
Take-homes are easy to outsource — and reviewers can't agree on what "good" looks like.
Interviews produce false confidence — decisions feel defensible, but outcomes don't track.
The fix: observable evidence
- Watch reasoning, verification, and iteration in real time.
- See how candidates use AI — and when they override it.
- Review artifacts that keep scoring consistent and explainable.
Comparison
A practical alternative to puzzles and take-homes
Puzzles and take-homes can be useful in some contexts, but they often miss the behaviors that predict on-the-job performance (and they're hard to review consistently). HireAegis Interviewer focuses on real engineering work and explainable review.
Typical "puzzle / take-home" signal
- Algorithm speed and memorization
- Edge-case trivia under time pressure
- Limited collaboration context
- Hard to explain scoring disagreements
Real build interview signal
- Scoping and communication
- Debugging and iteration
- Tradeoffs, quality, and test strategy
- Explainable notes anchored to artifacts
Pricing
Simple, transparent pricing
Plans are billed per workspace and include a set number of interview sessions per month (20 / 50 / 100). Unused session credits are refundable within 60 days of sign up.
Starter
For small teams running regular interviews
Most Popular
$79/month
$64/month billed annuallySave 20%
Limits
Session tokens20/month
Premium AI assistantIncluded
Workspaces5
Team members10
Included features
- Interview Rooms
- AI Assistant
- Code Editor
- Build & Preview
- Real-time Collaboration
- + 2 more features
60-day unused-credit refund policy
Professional
For growing teams with advanced needs
$199/month
$160/month billed annuallySave 20%
Limits
Session tokens50/month
Premium AI assistantIncluded
Workspaces10
Team members20
Included features
- Interview Rooms
- AI Assistant
- Code Editor
- Build & Preview
- Real-time Collaboration
- + 7 more features
60-day unused-credit refund policy
Business
For high-volume teams with demanding interview needs
$399/month
$320/month billed annuallySave 20%
Limits
Session tokens100/month
Premium AI assistantIncluded
Workspaces25
Team members50
Included features
- Interview Rooms
- AI Assistant
- Code Editor
- Build & Preview
- Real-time Collaboration
- + 9 more features
60-day unused-credit refund policy
FAQ
FAQ
Quick answers for teams evaluating HireAegis Interviewer.
Is this a replacement for HackerRank / CodeSignal?
It’s an alternative for teams who want to evaluate real build work and collaboration. If puzzles are working for your role, keep them — HireAegis Interviewer is best when you want product engineering behaviors on display.
How do candidates join?
You send one candidate link. They join in the browser and build in the provided template — no long setup docs and no local environment required.
What about AI usage during the interview?
We assume candidates use AI. The goal is to see how they collaborate: prompt quality, critical thinking, verification, and how they recover when AI is wrong.
Do you run candidate code in a sandbox?
Today, preview builds run in short-lived Docker containers on the interview host and are proxied through a gated preview URL. If you need tighter isolation or a specific deployment model, we’ll align the alpha to your requirements.
Do candidates need an account?
No. Candidates join with a single room link and work in the browser.
What stacks are supported today?
The current alpha is focused on Next.js templates (JS + TS) so interviews are consistent and job-relevant. If you need additional stacks, we’ll align on what’s realistic for early access.
What does alpha onboarding look like?
Sign up, then look for an email to schedule a 1:1 onboarding with the founder. We’ll walk through what’s supported today, your needs, and recommend a small pilot (3–5 sessions) to validate signal.
What gets captured for review?
The briefing, the candidate’s project files, build logs, and the AI transcript (prompts and responses). The goal is to make decisions explainable and consistent across reviewers.
Can candidates use their own AI tools?
The current alpha focuses on making AI collaboration visible inside the interview workflow. If your process requires specific tools or policies, we’ll align on expectations during onboarding.
How do we get started?
Create an account via sign up. We’ll email you to schedule personal onboarding. If you’d rather start with a conversation, contact us.
Make hiring decisions you can defend.
If your current screens produce false confidence—or don't match how candidates actually work—HireAegis Interviewer gives you reviewable evidence that keeps decisions consistent and explainable.