Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Design and implement a full Conversations API for AI agent chat sessions. Covers resource modeling, conversation lifecycle, message threading, metadata management, and FastAPI implementation patterns.
Learn how to build an AI agent that handles 311 citizen complaints by classifying request types, routing to the correct city department, tracking status, and automating follow-up communications.
Optimize infrastructure costs for AI agent deployments with practical strategies for instance selection, auto-scaling, spot instances, and reserved capacity. Learn to match compute resources to actual workload patterns.
Understanding AI as a five-layer infrastructure stack — from energy generation to end-user applications — and why this framework matters for investment, strategy, and competitive positioning.
Autonomous systems need rigorous safety frameworks to operate reliably. Learn the validation methods, simulation testing, and certification standards used in 2026.
Learn how to install Ollama, pull Llama models, serve them through OpenAI-compatible endpoints, and integrate local LLMs into your AI agent pipelines for private, cost-free inference.
A detailed comparison of Temporal, Prefect, Apache Airflow, and custom-built orchestrators for AI agent workflows. Covers scaling, complexity, team fit, cost, and decision criteria.
Learn how to combine metadata filters with vector similarity search, comparing pre-filter and post-filter strategies, designing filterable metadata schemas, and building a responsive faceted search UI.
AI coastal flood prediction models map inundation risk at meter-scale resolution with 90% accuracy. Learn how machine learning improves flood mapping, erosion forecasting, and sea-level rise planning.
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