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Morning Edition · Monday, July 27, 2026Published at 1:32 AM EDT · New York
FlowEvo Lets LLM Agents Co-Evolve Workflows and Reusable Skills
The method turns useful reasoning procedures used at inference time into a library of executable skills, so that agents do not have to rediscover the same solutions on every task.
A new paper introduces FlowEvo, a framework in which large language model (LLM) agents co-evolve their inference-time workflows and a library of executable skills. The motivation is a known inefficiency. Agents build fresh workflows that co…
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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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