RELEVANT WORK
What have they actually built?
Explore one or two relevant projects, the individual contribution and what happened after launch.
LOOK FOR
A project walkthrough with specific decisions.
OUR APPROACH
The right signals.
The right humans.
AI moves quickly. Good judgment still matters. Our approach puts evidence, context and collaboration at the center of the hiring conversation.
Technology is the tool.
People make the difference.
A list of tools tells you what someone has used.
A thoughtful conversation reveals how they work.
THE ASSESSMENT FRAMEWORK
Five lenses.
One considered decision.
TECHNICAL JUDGMENT
Can they explain the trade-offs?
Discuss the simpler alternative, the constraints and the conditions that might change their recommendation.
LOOK FOR
A reasoned approach, with explicit assumptions.
EVALUATION MINDSET
How do they know it works?
Look for realistic examples, clear success criteria and attention to unexpected behavior.
LOOK FOR
A plan for measuring quality and finding failures.
HUMAN COLLABORATION
Can your team build with them?
Discuss feedback, ambiguity, communication and the way decisions are documented.
LOOK FOR
Clear questions and an understandable next step.
OWNERSHIP
What happens after the demo?
Explore operations, maintenance, handover and who is responsible when requirements change.
LOOK FOR
A practical view of the entire lifecycle.
CONTEXT OVER CHECKBOXES
Great for the role.
Right for your team.
The same specialist can be perfect for one project and the wrong fit for another. Scope, working style and the strengths already in your team all matter.
This framework guides the conversation. It is not a public certification, an automated ranking or a guarantee of an individual outcome.
Read the interview guideYOUR NEXT CHAPTER
Big AI ambition?
Start with the right people.
Build your AI crew
A clear brief. A considered next step.