Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build automatic failover systems that seamlessly switch between LLM providers when your primary model is unavailable. Learn provider health checks, quality comparison, and cost-aware routing.
Build an AI agent for Microsoft Teams using the Bot Framework SDK, design rich Adaptive Card interfaces for structured interactions, and handle conversation flows with proper permissions and authentication.
Build a production-ready Slack AI agent with slash commands, real-time bot event handling, interactive Block Kit messages, and thread-aware conversation management using the Slack Bolt SDK.
Learn how to define, calculate, and benchmark the core effectiveness metrics for AI agents including resolution rate, containment rate, first-contact resolution, and strategies for systematic improvement.
Implement the database-per-service pattern for AI agent microservices with data ownership boundaries, eventual consistency through sagas, and API composition for cross-service queries.
Design an API gateway for AI agent microservices that handles intelligent routing, authentication, and rate limiting while keeping backend services focused on their core responsibilities.
Learn how to design analytics report templates for AI agents, aggregate performance data into meaningful summaries, generate HTML and PDF reports, and deliver them on schedule via email and Slack.
Three seconds of silence and the caller assumes the line crashed. We map no-input thresholds, contextual re-prompts, and the streaming-TTS architecture CallSphere uses to fill long tool calls without ambient music.
Analysis of how AI is delivering measurable business impact with 88% of adopters reporting revenue growth and 87% seeing cost reductions, with breakdowns by industry and use case.
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