Compare the Journey, Not Just the Output

Yasmin argues for testing AI ecosystems on real tasks and weighing integration, recovery, cost and human experience—not just impressive outputs. Hamza adds a useful control: keep the task and permission boundary consistent so broader access doesn’t masquerade as better performance.

My third perspective: hold the human outcome steady, but let each system take its own route. For one customer-service scenario, give each ecosystem the same request, context and permissions. Then map the journey: where does it ask for help, hand work to a person, expose uncertainty or recover from a mistake? Compare not only the final answer, but also the clarity and effort at those moments.

That makes a prototype more revealing than a leaderboard: the routes may differ, but the customer’s need stays fixed. Which handoff or recovery moment would you include first in that shared test?