Proctored One is talent intelligence for AI-native hiring. We’re not here to catch cheaters. We help you see how candidates reason, adapt, collaborate with AI, and work in environments that feel like the real job.
When every candidate is judged by one narrow frame, teams miss the minds that solve differently.
Traditional assessments ask every person to prove themselves the same way, then reward the few who adapt to that artificial pattern. That filters people out before you understand what makes them valuable.
A final answer cannot show judgment, creativity, tradeoffs, persistence, or how someone reacts when the path is unclear. The thinking process is often more valuable than the polished result.
Using AI should not automatically be treated as cheating. The stronger question is whether candidates use intelligent tools with taste, verification, ownership, and clear reasoning.
Great hiring is not about forcing everyone into the same narrow test. It is about understanding how each person thinks, decides, learns, collaborates, and turns tools into outcomes.
In production, AI assistants are part of the ecosystem. Cursor, Claude Code, Copilot, Windsurf, Cody. They make strong people faster and expose how they think: what they ask, what they accept, what they reject, and what they choose to own.
The point of an assessment is not to ban tools or trap candidates. It is to surface the human underneath the workflow. Can they reason about a system? Choose the right abstraction? Recover from ambiguity? Explain why they did what they did?
So we don’t reduce people to a suspicion score. We attribute and contextualize. Every line, prompt, decision, and revision becomes evidence of how someone works, so you can evaluate capability, judgment, and role fit with confidence.
Identified by process signature, network fingerprint, IDE extension footprint, completion-API call patterns, and behavioral signature. Updated weekly as new tools ship.
Proctored One captures the context around real work: environment, decisions, tools, AI collaboration, and revisions. The result is not a gotcha log. It is a structured explanation of how the work came together.
Link a GitHub repo or choose a realistic template. Set the approved tools, workflows, AI policy, constraints, and rubric that match how your team actually works.
A browser-based IDE with approved AI tools, terminal, repo context, and real tasks. They build, debug, research, and decide in conditions that reveal their natural working style.
I'll help you implement exponential backoff for payment retries. Here's how we can update the retry logic:
This implements exponential backoff with retries:
Let me know if you'd like me to apply these changes.
Multiple AI agents analyze the submission against your criteria. See the final output, the path taken, where AI helped, what the candidate understood, and whether their workflow aligns with your team.
| CRITERIA | SCORE | WT | WS |
|---|---|---|---|
| Code Quality | 8.8 | 20% | 1.76 |
| Architecture | 8.2 | 20% | 1.64 |
| Test Coverage | 7.6 | 20% | 1.52 |
| AI Prompt Disc. | 9.1 | 15% | 1.37 |
| Error Handling | 8.0 | 15% | 1.20 |
| Best Practices | 8.3 | 10% | 0.83 |
| Total | 83.2% | 8.32 |
Replace disconnected screens with one realistic session that explains capability, process, and fit.
Other platforms optimize for standardized screening. Proctored One is built for realistic work, human-AI collaboration, and the evidence teams need to recognize different kinds of excellence.
10+ independent AI agents evaluate reasoning, architecture, quality, judgment, and workflow fit against your rubric.
Candidates work in conditions that mirror the role. Real code, real constraints, real tools, real signal.
See where candidates use AI, how they guide it, what they verify, and where they rely on their own judgment.
Every line connected to its origin and workflow context: human-written, AI-generated, or AI-modified.
Still have questions about how Proctored One helps your team understand candidates?
Book a CallStop guessing from polished answers. Understand who reasons deeply, uses AI with judgment, adapts under realistic conditions, and naturally fits the way your team works.