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FlowBank proposes reusable workflows for AI-agent teams
FlowBank’s author reports an average score of 73.40 across five benchmarks, versus 70.40 for the strongest automated baseline they evaluated.
TLDR
FlowBank’s author says it builds a compact bank of complementary AI-agent workflows and selects one for each query, rather than keeping a single overall winner. They report an average score of 73.40 across five benchmarks, versus 70.40 for the strongest automated baseline they evaluated, at a lower reported average inference cost. They say all agentic workflows used the same GPT-4o mini executor.
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