Operating manual
Tag: AI Operations
A focused reading path for AI Operations: related field notes, evidence trails, and operating questions from the archive.
- agents-need-a-compiler-before-the-control-plane.md
Agents Need a Compiler Before the Control Plane
Why consequential infrastructure agents need compiled intent, bounded policy search, isolated tests, and deliberate production admission.
open artifact → - self-correction-needs-executable-verification.md
AI Self-Correction Needs Executable Verification
A practical verification promotion gate for deciding when an AI agent correction has enough evidence to replace prior state or trigger action.
open artifact → - validate-ai-agent-trajectories.md
How to Validate AI Agent Trajectories
Component tests prove local properties. Deployable AI agents need evidence for the path they take across state, authority, tools, memory, and handoffs.
open artifact → - agent-simulations-need-a-reproducibility-contract.md
Agent Simulations Need a Reproducibility Contract
A seed is not enough. Reproducible agent simulations need a versioned contract for execution, dependencies, validation, and rerun evidence.
open artifact → - self-hosting-ai-is-a-control-decision.md
Self-Hosting AI Is a Control Decision
A five-part Control Boundary Test for deciding whether an AI workload belongs on self-hosted, managed, or hybrid infrastructure.
open artifact → - watch-domains-for-change-not-content-quotas.md
Watch Domains for Change, Not Content Quotas
A five-stage Watch-to-Publish Trigger for deciding whether a domain review warrants a new post, an update, or no public output.
open artifact →