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Beyond the LLM: Why RAG Checklists, Agent Observability, and Lightweight Infrastructure Are the New Developer Stack

Originally published on tamiz.pro . The excitement around Large Language Models (LLMs) has largely focused on the capabilities of the models themselves—increasing parameter counts, multimodal outputs…

  • RAG verification checklists validate chunking, embeddings, and hallucination detection
  • Agent observability captures tool calls, reasoning steps, and error states
  • Lightweight infrastructure reduces overhead with serverless inference and quantized models

Build an AI Shipment Agent with SMS, Voice, and Telnyx Inference

Most package tracking flows make the customer do the work. You get a tracking number. You open a page. You refresh it. Maybe you get a generic text that says the package is out for delivery.

  • Shipment-Agent treats packages as autonomous AI agents
  • Agent uses SMS, voice, and Telnyx AI inference for updates
  • Application integrates with Telnyx webhook signing and messaging

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