An interview that
thinks between your answers.
InterviewOS adapts every technical interview using candidate context, live response signals, cross-turn memory, and evidence-backed evaluation.
One continuous adaptive system.
Not four isolated steps — a connected intelligence pipeline that operates across every turn. Scroll to watch it move.
Builds an initial interview hypothesis
Reads the candidate's learning journey, completed missions, retry patterns, and skipped topics to form initial technical preferences — without guessing skills.
Every answer influences the next probe
Evaluates correctness, depth, reasoning, and practical understanding. Strong answers trigger deeper exploration; partial answers trigger clarification.
Tracks claims and context across turns
Extracts technical claims from every answer, maintains cross-turn memory, and flags contradictions between earlier and later responses.
Connects results back to observed evidence
Every competency score links to specific answer turns and verified evidence entries. Complete provenance from question to final assessment.
One signal reshapes the next question.
A live look at how a single candidate response routes through the adaptive pipeline.
“I would inspect the retrieved chunks before changing the model.”
Illustrative example showing how the adaptive pipeline responds to candidate signals.
Interview, evidence, and replay — connected.
Every surface is generated by the same engine, from the adaptive question to the evidence-backed report.
How would you distinguish an embedding-quality issue from an index-recall problem?
How would you distinguish an embedding-quality issue from an index-recall problem?
Ready to experience it?
Start an adaptive technical interview with a sample profile. Every question, evaluation, and report is generated by the real engine.
Experience InterviewOS