Agent lab
Interviewing AI Agent
A mock interviewer that runs a real technical round: asks, follows up on a weak answer, and returns a scored rubric with the exact moments to fix.
- round types
- 5round types
- per session
- 30 minper session
- scored feedback
- Rubricscored feedback
What you get
How this one is different
It follows up
A vague answer gets probed exactly like a real interviewer would probe it. That is where the learning is.
Rounds that mirror hiring
ML case study, SQL, coding, ML system design and behavioural.
Scored against a rubric
Structure, correctness, trade-off reasoning and communication, each with the transcript moment attached.
Tracks you over time
Repeat sessions show whether the weak dimension is actually improving.
Detail
The generative AI roadmap
- 01Prompting and structured output
- 02Embeddings and vector search
- 03Retrieval-augmented generation done properly
- 04Tool calling and agent loops
- 05Evaluation: rubrics, judges and regression sets
- 06Cost, latency and guardrails in production
Questions
Before you start
It is scored against a fixed rubric and calibrated on real interview transcripts. Treat it as consistent practice pressure, not a hiring verdict.
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Begin the first module
It is free, it is the real curriculum, and if it is not for you, you have lost nothing but an evening.
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