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Morning Edition · Tuesday, July 28, 2026Published at 1:47 AM EDT · New York
FlowEvo Proposes Agents That Improve by Co-Evolving Their Workflows and Reusable Skills
The method tries to capture the useful procedures an agent discovers at inference time and turn them into executable skills instead of rediscovering them each run.
A paper introducing FlowEvo targets a limitation in how large language model (LLM) agents solve complex tasks. Agents build inference-time workflows that combine reasoning, tool use, and code execution, but the useful procedures they constr…
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Agentic AI Moves Into Enterprise and Government Workflows
Over the next 3-9 months, AI agents move from demos into real enterprise and public-sector workflows, with deployment success tied to domain and task understanding more than raw model capability.
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