Before the task
Candidates check camera permissions, connectivity and the environment required for the task.
Analyzing the process of
solving practical tasks
We analyze how candidates use AI to complete tasks,
alongside their output, conversations, tool use and verification records.
A practical development environment with code, documentation and tests.
A sandbox desktop for working with documents, AI tools and business applications.
From practical tasks to interview support.
Assess the work and the process, then carry the evidence into interviews.
- 01
Start in a real environment
Start in a browser IDE, without installation. Use real APIs and compute within set time and token limits.
- 02
Artifact & process, auto-collected
Automatically collect outputs, prompts, tool settings, AI conversations and verification records.
- 03
Post-task Q&A
Explain the work and the decisions behind it. Answers are checked against the actual implementation.
- 04
Assessment report · interview support
Receive competency scores and supporting evidence. Candidate-specific questions and follow-ups support the interview.
An environment for a trustworthy assessment
Check the environment before the task and review the records captured during the session.
Assessment integrity
Camera and session records support review according to the task’s monitoring configuration.
Review the evidence
Review work and session records alongside the output to identify areas needing clarification.
Assessment reports with scores
and the reasoning behind them
Connect outputs and process through Technique, Intent and Cognition.
Review scores alongside the evidence for each criterion.
Compare the candidate’s explanations with their implementation.
Inspect the code and exact locations supporting the assessment.
Follow the work record from requests through execution.
Candidate-specific interview briefings
grounded in their work
Prepare a more focused conversation grounded in the candidate’s work.
Candidate-specific follow-up
Use the report to identify strengths and areas to explore further.
Questions about real work
Ask why a structure was chosen or how failure conditions were checked.
Support interviewer judgment
Review answers alongside work evidence to inform the hiring decision.
Frequently asked questions
Do you only assess tool proficiency?
We also assess how candidates define problems, delegate to AI, verify results and explain their work.
What evidence is assessed?
Artifacts, source code, prompts, work logs and follow-up answers support assessment across technique, intent and cognition.
Do candidates use different AI environments?
Candidates receive the same task, workspace and model so we can compare how they solve problems under shared conditions.
Does it support interviews after assessment?
Report evidence and candidate-specific follow-up questions help interviewers prepare.
What should I prepare for an inquiry?
Share your assessment goal, target roles, expected candidate volume and timeline. We will discuss tasks and scope with your team.