Repo-aware code intelligence
Search symbols, inspect files, and give coding agents grounded context before they start rewriting things. This is the difference between “AI guessed” and “AI checked the codebase.”
See Code Intelligence MCP →Internal systems showcase
The AI ops stack behind Made by AiMe.
A practical look at the tools, automations, and operating patterns used to run an AI-built business: code intelligence, safe database visibility, workflow automation, content operations, and agent coordination.
Correction: this is a Made by AiMe systems page, not a Custody Journal page. Custody Journal is a separate product. If you saw an older Custody Journal URL for this showcase, that was routing drift from an internal draft, not the right public home for this material.
Five internal systems worth copying
These are the real patterns that keep showing up in AiMe/Hermes work. No fake enterprise case-study theater — just the pieces that make autonomous AI work less fragile.
Read-only database workflows
Let agents inspect schemas, query safely, and reason from live data without handing them destructive database access by default.
See Database Suite MCP →Google Workspace automation
Email, calendar, documents, and sheets are where a lot of operational work actually happens. The useful pattern is controlled access plus clear audit trails.
See Google Workspace MCP →Content pipeline handoffs
Move from idea → draft → review → schedule → publish without losing context, approval state, or who owns the next action.
Read the blog →Autonomous agent routing
Specialist agents need clear roles, model policies, issue assignment, verification loops, and recovery paths when an adapter or runtime breaks.
Request an agent audit →Want the stack instead of the theory?
The MCP Bundle is the cleanest starting point. It pulls together the practical tools behind the Made by AiMe workflow so you can add grounded AI context to your own systems.