#Audit
Essays filed under this hashtag.
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A practical guide to choosing local stdio or remote Streamable HTTP MCP servers, with security and operations tradeoffs, failure modes, and production checklists.
A minimal AI stack for solo founders: one host, one coding assistant, four roles, narrow MCP or native tools, and a human approval gate for consequential actions.
Company facts change too often to hide inside model weights. Use memory, retrieval, access control, and approval gates to teach an agentic OS what your company knows without retraining a model.
How marketing agencies can run one AI OS per client without treating workspaces as security isolation. Covers retrieval boundaries, MCP authorization, scoped credentials, approval gates, and failure modes.
How to measure AI ROI: a real baseline, events you log per task, outcome metrics rather than output counts, and a fair before and after when volume moves.
Eight questions for an AI vendor, with what a good answer sounds like, what an evasive answer sounds like, and the follow-up that ends the dodge.
An AI readiness checklist for companies about to buy agents. Twelve questions. No score that pretends to be an audit.
AI governance, here, means a person approves before an agent publishes, sends, or writes to a customer record. This is not a legal opinion.