How We Work

High-Rigor Hiring, Delivered in a One-Week Sprint. Our structured process de-risks tech hiring by combining technical vetting with AI and a focused recruiting sprint week.
We handle the heavy lifting (from calibrating your job requirements to coordinating interviews) so you can make a confident hire in days, not months.
Run a Sprint Week: Start with a 15-minute intro call to launch your hiring sprint.

Ready to Hire?

Run a Sprint Week – Kick off your tailored hiring sprint now.

Candidate Journey: Transparent, Fair and Fast

Our process is equally built around the candidate experience. We make a promise of respect, clarity, and efficiency to every candidate.

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Transparent & Consent-Driven:

We explain the steps upfront and obtain your explicit consent before any recorded session. If we record an interview (for example, a coding session), it’s only shared with the hiring team for that role — never beyond. There are no surprise assessments; you’ll know exactly what to expect at each stage.

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AI-Positive Interviews:

We explain the steps upfront and obtain your explicit consent before any recorded session. If we record an interview (for example, a coding session), it’s only shared with the hiring team for that role — never beyond. There are no surprise assessments; you’ll know exactly what to expect at each stage.

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Structured & Fair Evaluation:

Every candidate is assessed against the same rubric. Two independent assessors score your technical interview in real time, then calibrate notes to ensure consistency. This two-reviewer system minimizes bias — your evaluation focuses on evidence of your skills (code, collaboration, debugging approach), not personal impressions.

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Fast Feedback & Updates:

We know waiting on a hiring process is stressful. Our recruiting sprint week model means you’ll get updates daily. You’ll typically receive feedback within 72 hours of any interview. Throughout the week, we keep you informed on next steps, so you’re never left guessing your status.

AI-Collaboration Interview:
Live Technical Vetting with AI

One of our signature innovations is the AI-collaboration interview – a live coding session where we assess how well a developer works with AI tools. It’s a high-signal, hands-on test that goes beyond a traditional coding exam:

Real Problem-Solving, Live:

We give the candidate a realistic programming task in a 60 to 90 minute screen-shared Zoom session. The session is structured in three parts: a brief to clarify the problem and requirements, a live coding period where the candidate builds a solution (with their environment and AI assistant of choice), and an interactive discussion to wrap up (where the candidate explains their solution and thought process). This isn’t a take-home test or a puzzle – it’s a collaborative working session that simulates real development scenarios.

AI in the Loop:

Throughout the interview, using AI is not just allowed – it’s encouraged. We observe how the candidate leverages AI (for example, prompting GitHub Copilot or ChatGPT) to solve the problem. Do they craft clear prompts? Do they iterate and refine when the AI output isn’t perfect? How do they handle incorrect or irrelevant suggestions? The goal is to find “agentic” developers who can effectively pair with AI tools to produce better code.

What We Evaluate:

We use a comprehensive rubric to score both technical skills and AI collaboration skills. Key dimensions include:
Problem Decomposition: How well does the candidate break down the task into manageable parts and plan their approach?
Code Quality and Correctness: Is the produced code functional and clean? Does it meet the requirements and handle edge cases (we often include sample test inputs to verify this)?
Debugging & Tenacity: How does the candidate troubleshoot issues or errors? Do they methodically isolate problems and persist through challenges?
Security & Reliability: Do they consider aspects like security, performance, or reliability when appropriate (e.g. input validation, error handling, optimizations)?
Communication: Does the candidate narrate their thought process clearly and respond well to questions or hints? We value clear communication and reasoning.
AI Collaboration: Perhaps most uniquely, we judge how they use the AI assistant: the clarity of their prompts, how they verify AI-generated output for correctness, and how they handle AI refusals or hallucinations (incorrect suggestions). Every score is backed by evidence – we take notes on specific behaviors or decisions as they happen.

Two Assessors and Rubric-Driven Scoring:

To keep evaluations objective, two senior assessors independently score the interview using the rubric. They then briefly confer to cross-check any discrepancies and agree on the documented evidence. This two-assessor model (along with a standardized rubric) ensures consistency and fairness in our technical vetting. You receive a distilled report of this assessment as part of each candidate’s profile.
Overall, the AI-collaboration interview lets us see a candidate’s true working style in a modern development environment. It is live, interactive, and very revealing of real-world skills. By the end of it, we have a rich signal of how this person thinks, codes, and collaborates with AI. This provides far more insight than any multiple-choice or canned coding test could provide.

Sprint Week Logistics: Fast and Coordinated

Running all interviews in one week requires tight coordination. Here’s how we make the Sprint Week efficient for everyone involved.

All-In-One-Week Schedule

We designate a specific week for your hiring sprint (usually Monday through Friday). All interviews with selected candidates happen within this window. By compressing the timeline, we maintain candidate excitement and get you to a decision quickly.

Calendar Coordination

Before Sprint Week begins, we lock in availability with everyone. We hold calendar slots for each interviewer on your team and each candidate, so there’s no back-and-forth scheduling during the week. Typically, we book 30 minute interview slots back to back, leaving buffer time as needed.

Shared Tracker

We set up a live tracker visible to your team. It lists every interview, with columns for stage, interviewer, scheduled time, and status. This tracker is updated in real time so you can see exactly where things stand at a glance.

Daily Updates

Communication is key in a sprint. You’ll receive a brief email each morning with that day’s schedule and every evening with a summary of outcomes. These updates keep both your team and the candidates in the loop, preventing any lapse in momentum.

Service Level Agreements (SLAs)

We ask upfront that feedback on interviews be turned around within 72 hours. These agreed-upon SLAs ensure the sprint keeps moving. If feedback is late, you’ll get a polite nudge, and we escalate if needed.

Minimal Candidate Downtime

Because of the structured schedule and quick feedback loops, candidates stay warm and engaged. No one is left waiting weeks only to forget context or take another offer. Sprint Week creates a positive experience where candidates feel the process moving forward each day.

Schedule a 15-Minute Intro Call

Talk about your role. If you’re ready to hire AI talent, reach out to us. Prefer email or have general inquiries? You can also reach us directly at [email protected]. We’re based in Silicon Beach, Los Angeles, and serve startups and tech companies nationwide. If you’re an AI/ML engineer looking for new opportunities, feel free to get in touch as well — we’re always excited to meet great talent.