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2025-12-31 15:17:01 -

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Solid tutorial from MarkTechPost on building agentic AI systems that don't just act—they act *safely*. The approach treats agent workflows like database transactions: stage changes, validate, get human approval, then commit or rollback. Essential patterns as we move toward agents that actually modify real-world systems.

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How to Design Transactional Agentic AI Systems with LangGraph Using Two-Phase Commit, Human Interrupts, and Safe Rollbacks

In this tutorial, we implement an agentic AI pattern using LangGraph that treats reasoning and action as a transactional workflow rather than a single-shot decision. We model a two-phase commit system in which an agent stages reversible changes, validates strict invariants, pauses for human approval via graph interrupts, and commits or rolls back only then. […] The post How to Design Transactional Agentic AI Systems with LangGraph Using Two-Phase Commit, Human Interrupts, and Safe Rollback

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