Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Analysis of how Accenture and Databricks help enterprises deploy AI agents using data lakehouse architecture, MLOps pipelines, and production-grade agent frameworks.
How agents communicate in multi-agent systems using direct message passing, shared blackboard, event-driven pub/sub, and MCP-based tool sharing with production code examples.
Current state of AI agent safety research covering alignment techniques, sandbox environments, constitutional AI applied to agents, and red-teaming methodologies.
How AI sales agents automate BDR workflows with inbound lead qualification, outbound batch calling campaigns, real-time transcription, lead scoring, and CRM integration patterns.
Real AI safety and alignment interview questions from Anthropic and OpenAI in 2026. Covers alignment challenges, RLHF vs DPO, responsible scaling, red-teaming, safety-first decisions, and autonomous agent oversight.
Build a three-agent data pipeline with ingestion, transformation, and analysis agents that process data from APIs, CSVs, and databases using Python.
Practical guide to building agentic AI systems with Claude Code CLI — hooks, MCP servers, parallel agents, background tasks, and production deployment patterns.
Managing context in long-running AI agents: conversation summarization, selective pruning, sliding window approaches, and when to leverage 1M token context versus optimization strategies.
How AI agents interact with databases safely using read-only tools for queries, write-through validation layers, and event-driven updates via message queues.
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