Explain self-consistency and tree-of-thought prompting. When are they worth the extra cost?
Two prompting strategies that purchase accuracy with extra compute. What matters is knowing how each explores the reasoning space, that they trade tokens and latency for reliability, and how to judge when the problem actually warrants it. Here is that answer.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Two prompting strategies that purchase accuracy with extra compute. What matters is knowing how each explores the reasoning space, that they trade tokens and latency for reliability, and how to judge when the problem actually warrants it. Here is that answer.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.