An agentic room-booking platform and the agents that build it

We are building it on a dedicated server, with our own agentic builder.

• For members: one API behind every screen, so that an AI agent books through the same rules as the button; an assistant for signed-in members only, with a daily quota and AI budget (test model for now).
• For the network's teams, after handover: each change will be prepared by an operations agent briefed in plain language, checked by an independent reviewer against the business rules and tests, approved by the team, and kept reversible.
• Without AI: token balances that cannot go negative, rules encoded as tests, scheduled checks and backups, guardrails before any agent action.
• The builder: an orchestrating agent splits the work into tracks, each agent with a brief, a scope and a finish line, reading the project state first and recalling memory on a precise question; a read-only adversarial reviewer challenges the build until nothing blocks; production waits for a named human.

Where it stands: on a test environment; the agent connector is still to be delivered, and production will follow acceptance testing by the network's teams. Learn these patterns in our Claude Code & Agentic AI training.