Agents field-note hub
AI Agents for Operations
I use agents as operators, not mascots. This hub tracks specialist roles, agent workflows, orchestration boundaries, local interfaces, and the human review gates that keep delegated work accountable.
What this lane tracks
Commercially useful patterns pulled from live build work.
Agent workflows with clear owners, handoffs, and escalation paths
Multi-agent orchestration patterns that keep failure visible
Human-in-the-loop checks for tool use, publishing, money, and production changes
Latest Agents notes
11 crawlable notes in this category.
Local vs Cloud AI Agents: Cost, Privacy, Latency, and Control
A practical operating model for choosing local, cloud, or hybrid AI agent execution across cost, privacy, latency, and control.
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How to Choose an MCP Server Strategy for Your AI Agent Stack
Use built-in tools, local MCP, hosted MCP, and custom adapters without turning your agent stack into glue-code sprawl.
The Best GUIs, TUIs, and CLIs for Running AI Agents Locally
A practical map to Open WebUI, LibreChat, AnythingLLM, Jan, Goose, OpenCode, and Aider: when to use a GUI, TUI, CLI, or background worker.
10 Hermes Plugins Worth Installing Right Now
The Hermes Agent plugins worth installing first are the ones that remove repeated operational failures: cleanup, meetings, ambient control, and memory backends.
Ollama Can Now Launch the Codex App With Local Models
Ollama v0.24.0 adds Codex App setup, which lets the installed desktop app route through Ollama local and cloud models.
Hermes Agent Setup Guide: Zero to Running in 30 Minutes
Install Hermes Agent, configure tools, memory, skills, and gateway, then run a smoke test without turning day-one automation into production risk.
Why AI Agents Break in Production: Failure Modes I've Hit and How I Debug Them
My AI agents fail in predictable ways: context collapse, prompt drift, tool misuse, and silent delegation loops. Here's each failure mode, what caused it, and the debugging steps I use now.
Configured Architecture vs Live Architecture: The Diagram Is Not the System
The architecture diagram and the running agent system are never the same thing. I now track the gap instead of pretending the drawing is reality.
AI Agent Org Chart: How I Split Roles So Work Ships
One AI agent tried to do everything and nothing got finished. Here is the specialist agent org chart I use for ownership, escalation, and handoffs.
How My AI Agent Org Evolved as the Work Got Real
When blurry ownership started slowing the system down, I split roles. Here's what changed, why, and what got better once each agent had a clear job.
Why Specialist Agents Beat One Big AI Chat
Specialist AI agents produce better context, cleaner delegation, and more durable systems than one big chat thread. Here's why, and when to start adding them.