Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Implement translation memory systems with term glossaries, translation caching, and consistency enforcement to maintain uniform terminology across all AI agent interactions.
Every leg of an AI call — caller to edge, edge to ASR, ASR to LLM, LLM to EHR — is a transmission under 45 CFR 164.312(e). Here is the TLS 1.3 and mTLS architecture that holds up in 2026.
Configure essential security headers for AI agent APIs including CORS policies, Content Security Policy, rate limit communication headers, and other protective headers with FastAPI middleware examples.
Implement dynamic auto-scaling for AI agent worker pods using KEDA, custom Prometheus metrics, queue-depth-based scaling, scale-to-zero for cost savings, and warmup strategies that prevent cold-start latency spikes.
Learn how to integrate AI agents with enterprise identity providers using SAML 2.0, OpenID Connect, and Active Directory. Covers authentication flows, token management, role mapping, and secure session handling for production agent deployments.
Create a visual agent workflow editor using React, drag-and-drop libraries, and a node-based canvas. Learn node rendering, connection drawing, and workflow serialization.
Build an AI agent that explains dental treatment plans in plain language, provides accurate cost estimates with insurance breakdowns, and presents financing options to help patients make informed decisions.
Master the art of building high-quality fine-tuning datasets with practical techniques for data collection, cleaning, deduplication, format validation, and diversity analysis.
Build an ETL pipeline that extracts conversation logs from AI agent systems, anonymizes PII, transforms them into training-ready formats, and filters for quality to improve agent performance.
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