Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Discover how LlamaIndex agents combine retrieval-augmented generation with agentic reasoning, using query engines as tools and data agents to build knowledge-intensive AI applications.
Learn how Semantic Kernel brings enterprise-grade agent capabilities to .NET and Python applications with planners, plugins, memory integration, and deep Azure ecosystem support.
Learn how Haystack's pipeline architecture and component-based design enable building production-grade NLP and agent systems with flexible routing, branching, and ready-made components.
Learn when and how to build agents using direct LLM API calls instead of frameworks, with a minimal implementation that demonstrates the agent loop, tool calling, and state management from scratch.
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 migrate between agent frameworks using abstraction layers, interface design, gradual migration strategies, and comprehensive testing to avoid costly full rewrites.
Understand MiFID II call recording obligations, retention periods, and enforcement risks so your financial firm stays compliant and avoids costly penalties.
Learn how Tree-of-Thought prompting enables LLMs to explore branching reasoning paths, evaluate intermediate steps, and converge on higher-quality answers for complex problems.
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