Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Learn how to build a meta-agent that analyzes execution traces from other agents, diagnoses failures in tool calls and reasoning chains, suggests fixes, and can even apply automated remediation.
Learn how to build AI agents that chain multiple tools together sequentially, passing intermediate results through dependency graphs while handling errors gracefully across the entire pipeline.
Learn how to build AI agents that maintain a consistent personality, remember past interactions, consolidate memories over time, and build long-term relationships with users across multiple sessions.
Discover how to build AI agents that can write new Python tools at runtime, validate them in a sandbox, register them dynamically, and use them in subsequent reasoning — creating truly self-extending agent systems.
Build an AI agent that compares two versions of a document, identifies additions, deletions, and modifications, generates visual redlines, and produces annotated change summaries for legal, contract, and policy review workflows.
Learn how to build an AI-enhanced RPA bot that goes beyond traditional rule-based automation. Covers decision-making, exception handling, legacy system integration, and patterns for robust desktop and web automation.
Build an AI-powered testing agent that performs exploratory testing, automatically generates test cases, classifies discovered bugs, and produces structured reports for development teams.
Learn how to architect AI agent swarms that self-organize without a central coordinator. Covers pheromone-like signaling, emergent task allocation, and decentralized scaling patterns with Python examples.
Step-by-step guide to building a browser automation agent with Claude Computer Use — from SDK setup and screenshot capture to executing click, type, and scroll actions for real web navigation tasks.
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