Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Learn how to mine AI agent conversation logs for actionable patterns using text mining, topic modeling, pattern extraction, and automated insight generation that drives agent improvement.
Learn how to build defensible network effects around an AI agent platform through developer relations, partner programs, content strategy, and community flywheel design. Covers ecosystem metrics, incentive structures, and growth loops.
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.
A practical decision matrix for selecting the right agent framework based on team size, use case complexity, scalability needs, vendor preferences, and production requirements.
Learn how to implement clean agent handoffs using the OpenAI Agents SDK, including handoff triggers, context transfer, conversation continuity, and patterns for preserving user experience across agent boundaries.
A deep dive into the agent loop — the fundamental control flow that powers every AI agent. Learn loop mechanics, termination conditions, maximum iteration strategies, and how to prevent infinite loops.
Companies like Mem0, Zep, and Letta tackle the critical challenge of giving AI agents persistent, retrievable memory across sessions and conversations.
Explore pricing strategies for AI agents including per-invocation metering, tiered subscriptions, and freemium conversion funnels. Learn how to build billing infrastructure that tracks usage accurately and optimizes revenue.
Learn how to implement negotiation protocols for AI agents including offer-counteroffer patterns, compromise strategies, and deadlock resolution. Build agents that autonomously reach mutually acceptable outcomes.
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