Designing Agent State Machines for Long-Running Business Workflows
Blog post from Airbyte
Michel Tricot, CEO and co-founder of Airbyte, introduces an August 19, 2026 post on designing AI agents for long-running business workflows. It argues that prompt chains can fail in multi-day processes and proposes durable state machines with journaled steps and timed waiting states as a more reliable workflow model. The post also promotes Airbyte Agents, a platform intended to connect business tools and data as context for agents, alongside related updates covering connector skills, entity policies, semantic search, and new HubSpot and LinkedIn Ads connectors.
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