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Capstone: Full Mock Loop & Self-Exam1 / 2

1 min lesson

Scenario: cost is 30% over budget

Explain your answer to "Why is continuous (in-flight) batching a bigger throughput lever than simply increasing a fixed batch size?" Add one concrete detail from the lesson.

Step 1 of 2

Scenario: cost is 30% over budgetName the lever and the risk

Lever
Prefix / response caching
How it cuts cost
Repeat prefills and identical requests become hits
UX risk to name
Stale responses if invalidation is wrong; correctness over savings
Lever
Cheaper-model routing
How it cuts cost
Route price-sensitive surfaces to a smaller model
UX risk to name
Quality drop users can feel, especially in Agent
Lever
Better batching
How it cuts cost
Continuous batching refills freed slots; GPUs stay busy
UX risk to name
Fixed batches add head-of-line blocking; watch ITL/p99
Lever
Fallback ladder tuning
How it cuts cost
Prefer cheaper providers when quality headroom allows
UX risk to name
More failover hops add latency; cap the ladder depth

Every cost lever has a latency or quality cost. Naming it is the senior move.

Catch your hand-waves

If you said "add caching" without saying what you cache, the hit-rate you'd expect or how you invalidate it, that's a hand-wave. If you said "route to a cheaper model" without naming which surface can absorb the quality hit, that's a hand-wave. Write each one down. They are your exact study gaps before the loop.