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AWS agents will suggest your new flights. Code decides what gets booked.

AWS published a new Step Functions pattern this week that gives AI agents a role in airline rebooking while keeping The post AWS agents will suggest your new flights. Code decides what gets booked. appeared first on The New Stack .

AWS agents will suggest your new flights. Code decides what gets booked.

Amazon has introduced a new AWS Step Functions pattern that allows AI agents to suggest new flights and itineraries while keeping reservation changes and payments under the control of code. Amazon Bedrock AgentCore agents generate new itinerary proposals and draft compensation messages after a flight disruption. However, before any reservation changes or payments are made, deterministic steps in the workflow validate those proposals.

AWS emphasizes that this approach ensures "the reasoning power of generative AI with the guardrails of deterministic validation." The pattern enables developers to leverage the reasoning capabilities of generative AI while maintaining the security and control of deterministic code validation. This separation of concerns could enhance the safety of AI agents in high-stakes financial and regulatory workflows.

Additionally, AWS highlighted a case study of Abnormal AI, a behavioral AI security platform, which uses Amazon Bedrock AgentCore Code Interpreter to support real-time inline email threat detection. The Code Interpreter capability provides a fully managed, serverless runtime for agents to execute code dynamically, combining the reasoning and semantic coherence of large language models with the calculation, data processing, and verification that come from executing code.

AWS argues that this combination of reasoning and computation is essential for complex operations that don't fit neatly into semantic reasoning alone. While AWS uses airline rebooking as its example, the pattern could be applied to other workflows where deterministic code should stand between agent proposals and actions.

Written by urgent.news from The New Stack's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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