Claude Managed Agents Architecture: How It Fits Together
How Claude Managed Agents fit together end to end: the runtime loop, context assembler, tool/MCP layer, subagents, and control plane for production agents.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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How Claude Managed Agents fit together end to end: the runtime loop, context assembler, tool/MCP layer, subagents, and control plane for production agents.
Call Detail Records are the cheapest, oldest, and most underused signal in voice AI. Joined to LLM traces and STT confidence they tell you why a campaign is converting at 8% instead of 12%. Here is the schema and the queries we ship.
GitHub MCP added pre-commit secret scanning in March 2026. We unpack the official server, the PR-creating loop, and how CallSphere uses it for internal code review.
How Anatel's General Numbering Regulation, the DDD area-code system, Resolution 777/2025's call-authentication requirement, and the GT-AUTENTICA working group shape AI voice agents in Brazil.
Modern jailbreaks (Context Compliance, multi-turn escalation, many-shot) chew through 2024-style "never roleplay as another AI" guards. We share the 2026 layered prompt-hardening pattern — instruction stability, role lock, refusal taxonomy, runtime telemetry — that CallSphere ships in every agent system prompt.
How fintech lenders use calling platforms to boost borrower engagement, reduce default rates, and maintain TCPA and CFPB compliance across the loan lifecycle.
The 2022 RLHF recipe (SFT → reward model → PPO) is largely dead in 2026 — frontier labs have moved to GRPO and DAPO with verifiable rewards. We unpack what changed, when reward modeling still matters, and how OpenRLHF makes it production-ready.
Midas runs 941 locations and Meineke 716. Both lose 25-35% of inbound estimate calls because counter staff are walking customers to the bay. Voice AI fixes the front-of-house leak in 2026.
PII can span chunk boundaries, break with format variation, and tank LLM context. We cover a two-stage redactor (regex + LLM contextual) that buffers 2–3 chunks, hits 99%+ recall, and never lets PII reach analytics.
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