Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Design AI agents that identify information gaps and generate contextually relevant clarifying questions to improve response accuracy without frustrating users.
Learn how to build a continuous evaluation pipeline for AI agents with scheduled evaluations, dashboard integration, alerting on quality drops, and trend analysis over time.
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.
Learn how to incrementally update fine-tuned models with new data while preserving existing capabilities, using replay buffers, evaluation gates, elastic weight consolidation, and model versioning strategies.
Implement consumer-driven contract testing for AI agent microservices using Pact and JSON Schema validation. Catch breaking API changes before they reach production with automated CI integration.
A practical guide to making your first open-source contribution to the OpenAI Agents SDK, covering dev setup, finding good first issues, writing quality code, and navigating the pull request review process.
Design and implement conversation branching systems that manage complex dialog trees with dynamic paths, state tracking, path merging, and dead-end prevention.
Master the core principles of conversation design for AI agents including turn structure, progressive disclosure, error recovery, and building flows that feel natural to users.
Learn how to define conversation funnels for AI agents, track user journeys through interaction stages, identify drop-off points, and optimize conversion rates with data-driven insights.
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