Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
9 of 2647 articles
Discover how plan-and-execute agent architectures split high-level reasoning from step-by-step execution, enabling robust replanning on failure and efficient handling of complex multi-step tasks.
Understand the MRKL (Modular Reasoning, Knowledge, and Language) architecture that combines LLMs with specialized expert modules, intelligent routing, and structured knowledge retrieval for building powerful AI systems.
Learn how to build AI agents with metacognitive capabilities — uncertainty estimation, confidence calibration, knowledge boundary detection, and know-when-to-ask patterns that make agents more reliable and honest.
Explore how AI agents use internal world models to simulate future states, predict action consequences, and perform look-ahead planning — enabling smarter decisions without costly real-world trial and error.
Build an AI agent that performs structured legal reasoning — searching precedents, constructing multi-step arguments with evidence chains, generating counter-arguments, and producing balanced legal analysis.
Learn how to build AI agents that perform causal reasoning using causal graphs, interventions, and counterfactual analysis — moving beyond pattern matching to genuine understanding of cause and effect.
Build a multi-agent debate system where pro and con agents construct opposing arguments while a judge agent evaluates quality, driving convergence toward more accurate and nuanced answers.
Master the decision framework for when AI agents should reach for external tools versus relying on pure reasoning, with practical heuristics for tool selection, hybrid approaches, and cost-benefit analysis.
Get notified when we publish new articles on AI voice agents, automation, and industry insights. No spam, unsubscribe anytime.
Try our live demo -- no signup required. Talk to an AI voice agent right now.
