Self-Correcting Agents: How Model-Native Loops Handle Failure in 2026
Self-correction is now a property of the model, not the framework. What that means for production agent reliability, voice/chat fallbacks, and CallSphere.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Self-correction is now a property of the model, not the framework. What that means for production agent reliability, voice/chat fallbacks, and CallSphere.
Anthropic's May 2026 push raises a real question: what happens to the Bloomberg Terminal when an AI agent can do the same workflows faster. A thought piece.
Fine-tune vs prompt vs RAG for browser-side llms (webgpu) — a May 2026 comparison grounded in current model prices, benchmarks, and production patterns.
Reasoning models (Claude Mythos, o3, Opus 4.7, DeepSeek V4-Pro) for browser-side llms (webgpu) — a May 2026 comparison grounded in current model prices, benchmark...
Small language models (Phi-4-mini, Gemma 3, Llama 3.3) for browser-side llms (webgpu) — a May 2026 comparison grounded in current model prices, benchmarks, and pr...
Multi-LLM router (LiteLLM / Portkey / OpenRouter) for browser-side llms (webgpu) — a May 2026 comparison grounded in current model prices, benchmarks, and product...
Self-hosted on-prem stack for browser-side llms (webgpu) — a May 2026 comparison grounded in current model prices, benchmarks, and production patterns.
Lowest-latency LLM stack for browser-side llms (webgpu) — a May 2026 comparison grounded in current model prices, benchmarks, and production patterns.
Cheapest LLM stack for browser-side llms (webgpu) — a May 2026 comparison grounded in current model prices, benchmarks, and production patterns.