6h ago · 6 min read · The idea behind multi-agent LLM orchestration is deceptively simple. Run Claude, Codex, and Gemini simultaneously, then route tasks to whichever model handles them best. After 86 sessions, here is what actually happened: the same security bug surface...
Join discussion6h ago · 7 min read · Six sessions. 1,289 tool calls. 84 files modified, 26 files created. That is how much tool usage went into a single Claude Code project. It all started with one sentence: "Have 10 agents build a master plan." TL;DR: Multi-agent is fast. But the more ...
Join discussion19h ago · 4 min read · Multi-Agent Systems Need Synchronized Audit Trails Your multi-agent system just completed a workflow: Agent A scraped customer data Agent B processed and enriched it Agent C submitted to external API Agent D validated the response Your audit log ha...
Join discussion5d ago · 14 min read · I built my voice assistant orchestration layer around a stubborn rule: Don't spend an LLM call on a problem that a regex can solve. That reads like common sense until you ship a voice-first UX. People tolerate a spinner on a website; they do not tole...
Join discussionMar 3 · 16 min read · The Structural Navigation Agent: Enforcement Architecture and Structural Analysis for Multi-Agent Coordination This article is presented in two parts. Part I describes the technical architecture of the Structural Navigation Agent — five primitives, t...
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Mar 2 · 8 min read · Coordination Computation Class: Necessary Conditions for Bounded Multi-Agent Semantics In a previous posi...
Join discussionMar 1 · 3 min read · Continuity-Bounded Coordination: Why Multi-Agent Systems Still Drift Most current AI orchestration stacks solve connectivity, not coordination. Transport protocols connect models to tools. Workflow engines connect services to triggers. Memory layers ...
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