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What Is the Most Efficient Workflow for Processing 100 Independent Review Summaries?
Learn why parallelization is the optimal workflow pattern for generating independent summaries of 100 customer reviews simultaneously using Claude, minimizing total processing time.
Question
You need to process 100 customer reviews and generate a summary for each one. The summaries are independent. Which workflow pattern is most efficient?
A. Parallelization – process all reviews simultaneously
B. Chaining – process each review sequentially
C. Routing – send each review to different processing paths
D. Sequential processing with a single Claude call
Answer
A. Parallelization – process all reviews simultaneously
Explanation
When processing 100 independent customer reviews where each summary generation doesn’t depend on the others, parallelization is the most efficient workflow pattern because it maximizes throughput by distributing the tasks across multiple Claude instances or API calls simultaneously. This approach drastically reduces total processing time (from 100 sequential calls to essentially the time of one call, scaled by available parallelism) while optimally utilizing compute resources, unlike chaining or sequential processing which would take linearly longer, or routing which adds unnecessary complexity for identical independent tasks.