Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
TLS handshakes, WebSocket upgrades, and SIP registrations each cost 100-400ms cold. We design persistent connection pools to ASR, LLM, TTS, and CRM endpoints so the first turn pays nothing.
Editing the prod system prompt at 2am is how you regress every agent silently. We share the 2026 prompt-lifecycle stack — extract from code, immutable IDs, champion/challenger A/B, eval gates — used to ship CallSphere's 37-agent fleet without rollbacks.
The trajectory of Claude agents — longer autonomy, richer MCP ecosystems, multi-agent orgs, computer use — and how teams should prepare now.
The metrics that prove a Claude agent works in production — task success, grounding, escalation rate, cost per outcome, and drift detection.
An end-to-end walkthrough of a Claude agent — from a messy real problem to a shipped, monitored production system with MCP, skills, and evals.
Failure modes, blast radius, and containment patterns for Claude agents — ship autonomous systems that fail safely, not spectacularly.
The roles and skills teams must build to run Claude agents in production — eval design, prompt engineering, MCP plumbing, and agent reliability.
Grow Claude agents from one team to many without chaos — shared Skills, MCP catalogs, eval standards, and the platform layer that keeps it sane.
Honest trade-offs on when an agentic Claude system beats a script, a single prompt, or a human — and when it is the wrong, costly choice.
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