Technical practice
How would you test a newly released model before recommending it for internal workflows?
What to coverSuggested preparation: Describe representative tasks, comparisons with current models, repeated trials and the evidence you would collect about quality and reliability. Explain how you would distinguish a durable improvement from an impressive demonstration.
How would you design an agent-based workflow for work that currently spans several human steps?
What to coverSuggested preparation: Map the task, agent responsibilities, handoffs and points where human judgment remains valuable. Discuss how you would test whether the workflow completes useful work end to end rather than merely accelerating one step.
How would you diagnose an agent workflow that succeeds in a demo but fails on longer-running work?
What to coverSuggested preparation: Walk through how you would locate failure points across steps, inspect outputs and test whether fixes hold across varied cases. Address the trade-off between greater autonomy and reliable completion.
How would you assess a coding agent’s readiness to contribute to a production workflow?
What to coverSuggested preparation: Explain how you would evaluate its work beyond code generation, including reviewability, testing and what happens when it makes a mistake. The posting says Atlas has shipped agents that push code to production; do not assume a particular approval or deployment process.
How would you turn a new AI capability into a role-specific playbook for experienced users?
What to coverSuggested preparation: Start with the role’s existing work and identify the decisions or tasks the capability could change. Explain what examples, boundaries and hands-on practice would help experienced users apply it rather than revisit introductory material.
When would you use a workshop, individual support or an in-workflow teaching agent?
What to coverSuggested preparation: Compare the interventions by the capability gap, frequency of use and need for feedback in context. Describe how you would check whether the chosen intervention changes work after the session or interaction.
How would you explain a subtle difference between two models, tools or workflows to both engineers and non-engineers?
What to coverSuggested preparation: Ground the distinction in a concrete work decision while retaining important limitations and trade-offs. Show how you would adjust the level of detail without giving either audience a misleading simplification.
How would you measure whether AI education changed adoption rather than just attendance?
What to coverSuggested preparation: Define observable changes in workflows and the value of work agents take on, then compare them with a baseline over time. Discuss how you would check that the change is useful and sustained, not just increased tool usage.
How would you adapt a power user’s agent setup for company-wide use with sensitive data?
What to coverSuggested preparation: Identify risks to data handling, reliability and repeatability, and describe safeguards you would consider before broader use. Explain how you would preserve room to experiment while making the approach trustworthy at scale.
How would you decide which AI capability gap to address first across teams?
What to coverSuggested preparation: Compare gaps by their effect on valuable work, the readiness of a practical intervention and the effort required to change behavior. Explain what evidence would prompt you to revise the priority after an initial test.
Behavioural practice
Tell me about a time hands-on testing changed your view of an AI tool or technique.
What to coverSuggested preparation: Use a real situation, describe what you built or tested and explain what evidence changed your judgment. Finish with the resulting decision and what you learned about separating demonstrations from durable capability.
Tell me about a time you helped experienced colleagues change an established workflow.
What to coverSuggested preparation: Describe the situation, the behavior you wanted to change and how you earned participation without relying on a generic training session. Give the result in terms of changed work, including any limits to adoption.
Tell me about a time you taught a complex technical distinction to people with different backgrounds.
What to coverSuggested preparation: Explain the audiences and the decision they needed to make, then describe how you adjusted your explanation without losing an important nuance. Share evidence that they understood and could use it.
Tell me about a time you had to balance a promising automation with organizational risk.
What to coverSuggested preparation: Set out the opportunity and the reliability, repeatability or data concerns you faced. Describe your decision, whom you involved and what happened as a result.
Tell me about a time you independently prioritized an ambiguous, cross-team problem.
What to coverSuggested preparation: Describe the competing needs, how you identified the most consequential gap and the intervention you chose. Explain how you assessed the outcome and what you changed in response.