Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Handoffs let one specialist transfer control end-to-end, conversation context included. We compare OpenAI Agents SDK handoffs to LangGraph subgraphs, with CallSphere's after-hours 7-agent ladder as the reference design.
Implement service mesh patterns for AI agent architectures using Istio and Linkerd — including traffic splitting for canary deployments, automatic retries, circuit breaking, and observability.
Learn to use Python context managers for reliable resource management in AI applications including API client lifecycles, database connections, and async session handling.
Learn how LLMs break text into tokens using BPE, WordPiece, and SentencePiece algorithms, and how tokenization impacts cost, performance, and application design.
Care robots for the elderly combine mobility assistance, health monitoring, and companionship AI to address the growing caregiver shortage. See what works in 2026.
A practical guide to building a TypeScript SDK for an AI agent platform, covering package setup with tsup, strong type definitions, a fetch-based HTTP client, and JSDoc-powered inline documentation.
Bain & Company's comprehensive study across 500 enterprises reveals that AI agent deployments pay for themselves within 4 months on average, with a 340% ROI within the first year.
Per-token billing is precise but opaque to non-technical buyers; flat-rate is predictable but hides margin. Real cost crossovers, transparency tradeoffs, and a 12-month TCO model for both.
Learn how to implement continuous evaluation for production AI agents with sampling strategies, real-time quality dashboards, alerting on quality degradation, and feedback loops that drive iterative improvement.
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