2 posts about refund automation by 1 contributor.
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Build practical AI agents with this hands-on guide! Learn to create an Order Return & Refund agent using prompts, tool interfaces, and Python code. This example emphasizes safety, transparency, and verifiable actions with receipts. Discover how to adapt this pattern to your own workflows, ensuring reliable and auditable AI interactions. Implement robust AI solutions with clear contracts and explicit evidence.
Learn how context engineering rescued an airline refund assistant from confidently providing incorrect information! This article details a real-world use case where improving the evidence provided to the model, rather than retraining it, dramatically increased accuracy, reduced costs, and improved customer trust. Discover the key steps: contract definition, retrieval optimization, claim shaping, and rigorous validation. Implement this approach for reliable decision-making in high-stakes workflows.
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