Self-Improving AI Agents in 2026: How They Actually Work
Self-improving agents are the next enterprise AI differentiator. Explained: the four mechanisms (rubrics, sub-agents, memory, evals) and what they mean for voice.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Self-improving agents are the next enterprise AI differentiator. Explained: the four mechanisms (rubrics, sub-agents, memory, evals) and what they mean for voice.
A clean before/after of agent architecture in 2026. The control loop moved from your framework code into the model's reasoning chain. What that looks like.
What NVIDIA OpenShell taught us about sandbox + harness architecture, and how to apply the same pattern to customer-facing voice and chat agents.
Anthropic's Mythos sharpens the asymmetry between AI-armed defenders and AI-armed attackers. A working guide for pentesters and blue teams in 2026.
OpenAI Frontier is a general-purpose agent. CallSphere is a voice/chat agent for customer-facing communications. When to use which.
ServiceNow Project Arc vs Anthropic Managed Agents — runtime, governance, integration, and use cases. The 2026 enterprise autonomous agent comparison.
Real numbers for GPT-Realtime-2 at $32/1M audio input, $64/1M output, $0.40 cached. Five-minute call math and when prompt caching pays back.
MCP is agent-to-tool. A2A is agent-to-agent. Here is a clear 2026 decision guide for builders choosing between (and combining) the two protocols.
Anthropic shipped a research preview of managed agents for long-running workflows in coding, finance, and law. What it actually does and who should care.
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