Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build an AI agent for landscaping companies that generates accurate quotes from service catalogs, manages seasonal scheduling patterns, creates recurring maintenance plans, and integrates weather data.
Learn how to build an AI intake agent for law firms that screens potential clients with structured questions, performs basic conflict checks, evaluates case viability, and schedules consultations — all while maintaining attorney-client confidentiality.
Learn how to diagnose and fix common streaming problems in AI agents including dropped tokens, connection resets, partial responses, and timeout failures with practical debugging techniques.
Establish a rigorous benchmarking and profiling practice for your AI agents using structured test suites, profiling tools, baseline metrics, and regression tracking to maintain and improve performance over time.
A detailed comparison of ElevenLabs, OpenAI TTS, and Play.ht for voice AI agents — covering voice quality, latency, voice cloning, emotion control, and pricing to help you choose the right TTS engine.
Build an AI agent that streamlines retail store operations by generating employee schedules, assigning and tracking tasks, broadcasting announcements, and monitoring labor compliance — reducing manager workload.
Build an AI agent that parses application logs, detects error patterns, identifies anomalies, correlates events across services, and generates root cause analysis reports automatically.
Replace rigid IVR phone trees with natural language AI agents. Learn to design conversational call flows, implement DTMF fallbacks, and handle edge cases for a seamless caller experience.
Deploy AI agents on edge devices using Google's Gemma and Microsoft's Phi small language models. Cover resource requirements, agent patterns for constrained environments, and mobile deployment strategies.
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