Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build Helm charts for AI agent deployments — including chart structure, values files, Go templates, dependencies, and chart repositories for reusable, parameterized Kubernetes manifests.
Build output scanning systems that detect PII leaks, toxic content, format violations, and off-topic responses before they reach your users, with practical Python implementations for each guardrail type.
Build an AI agent that continuously ingests infrastructure metrics, detects anomalies using statistical and ML methods, and triggers automated remediation with human approval gates.
Implement canary deployments for AI agent systems with traffic splitting, health checking, automated rollback, and progressive delivery strategies that catch regressions before they affect all users.
Learn how Temporal provides durable execution guarantees for AI agent workflows. Covers workflow definition, activities, automatic retries, and state management for long-running agent pipelines.
Learn a comprehensive evaluation methodology for fine-tuned LLMs, combining automated benchmarks, human evaluation, and production A/B testing to measure real-world improvement with statistical rigor.
Build secure webhook receiver endpoints for AI agents with payload validation, signature verification, idempotency guarantees, and retry-safe processing using FastAPI.
Build an AI agent that analyzes cloud resource usage across AWS, GCP, and Azure, identifies waste, recommends rightsizing, and suggests reserved instance purchases for maximum savings.
Practical techniques to reduce voice AI agent latency below 500ms — covering streaming STT, early TTS start, connection reuse, speculative generation, and end-to-end pipeline optimization strategies.
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