Context

Cleric is a deployed AI agent designed to operate within a defined symbolic and procedural framework. Rather than offering guidance, prediction, or optimization, the system responds through constrained language, repetition, and refusal.

The agent is trained on a curated body of texts related to ritual practice, ethics, and symbolic systems. Its outputs are shaped by strict rules governing tone, scope, and response length, limiting its ability to generalize or adapt to individual users.

Cleric exists as part of a broader shrine-based system, where interaction is structured by time, context, and repetition rather than demand. The system emphasizes maintenance over usefulness, treating interaction itself as a form of upkeep.

Sacred Protocol has been instantiated through site-specific nodes designed to host symbolic and ritual interaction within defined ethical frameworks. One such node, informed by Laudato Si’, operated as a localized site of transmission, combining material presence with structured interaction. The node functioned simultaneously as place, artifact, and conduit, situating Cleric within a bounded moral and ecological context rather than a generalized system.

Responsibilities

• Concept development and system framing

• Design of symbolic and procedural constraints

• Training and deployment of AI agent

• Integration within a shrine-based interaction model

• Ongoing maintenance and iteration

Afterlife

Sacred Protocol does not aim toward resolution or improvement. Its value lies in sustained operation under constraint, where consistency and limitation are treated as primary conditions rather than failures.

The project continues as a live system, informing ongoing research into custodial models for AI deployment within cultural and domestic contexts.

Reference Material

Sacred Protocol Beta → IPv1 Transmission Report — Zine-format transmission documenting the first public node activation, ritual logic, and fellowship process.

Sacred Protocol Codex (Live Public Codex) — Open, web-based knowledge archive tracking symbolic vocabulary, ritual axioms, and ongoing system development.