> For the complete documentation index, see [llms.txt](https://loqua.gitbook.io/loqua/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://loqua.gitbook.io/loqua/the-coordination-engine/intent-as-system-input.md).

# Intent as System Input

Within Loqua, intent is not treated as passive conversation. It becomes the structured starting point for intelligent coordination.

Intent may originate from:

* Human interaction through the Messenger.
* AI agent reasoning and workflow orchestration.
* Mini apps and decentralized application interactions.
* Authorized external events from connected autonomous systems.

Once expressed, intent flows through a unified coordination layer that determines context, permissions, participating services, and, when required, decentralized execution. AI agents interpret requests, identity frameworks establish trust, and blockchain infrastructure provides secure ownership and settlement where appropriate.

The coordination engine ensures that every participant—human, AI agent, application, or future autonomous system—operates within a consistent framework of permissions, privacy, and user-defined authority.

This creates a coordinated operating environment rather than a collection of disconnected applications and execution paths.