clay-borg/INTENT.md
tegwick 705496a677 Add INTENT.md and archive initial exploration notes
Distills the architectural exploration into a top-level intent doc
per the repo's own proposed structure.
2026-07-30 23:55:43 +02:00

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Intent

Clay-Borg is a rebuild-from-scratch simulation and games engine framework: it assimilates and optimizes techniques and implementations useful for games, simulations, and robotics.

It is not another monolithic game engine. It is a capability-assimilating development engine with three distinct properties:

  1. Clay — its canonical models, contracts, rules, and tools remain malleable.
  2. Borg — mature, optimized libraries are assimilated behind controlled interfaces rather than copied or exposed directly.
  3. Product-driven evolution — abstractions are extracted from working games, beginning with GROUND — A Game of Bonds and Rivalry: DARVO Edition, rather than invented in isolation.

The central rule:

Own the semantics; assimilate the implementation.

Clay-Borg owns what an entity, object, command, event, card, zone, relationship, game, simulation, asset, plugin, and capability mean. External libraries (wgpu, Rapier, Bevy ECS, Wasmtime, Quinn, egui, Serde, tracing, …) provide optimized implementations of rendering, physics, networking, serialization, and similar functions behind canonical ports. No external library type should leak across a canonical interface.

Why GROUND first

GROUND requires modest physics but sophisticated social state, simultaneous decisions, and constrained sequences (a binding DARVO deny/attack/reverse state machine, a typed relationship graph, commit/reveal simultaneous resolution). It must stay playable headless — no rendering, no rigid-body simulation required to run or test the rules. The 3D tabletop is a projection and interaction surface for the game, not the definition of the game.

The most important design decisions

  1. Build GROUND first, not a general engine first.
  2. Keep rules independent from rendering and physics.
  3. Use commands and events as the authoritative mutation mechanism.
  4. Provide null, reference, and optimized implementations of important capabilities.
  5. Never leak assimilated-library types into canonical interfaces.
  6. Use server-authoritative physics and deterministic semantic rules.
  7. Treat player visibility as a projection, not a UI afterthought.
  8. Make every defect reproducible as a scenario and replay.
  9. Give coding agents bounded work packets and stable commands.
  10. Attach TargetRevenue phases to versioned improvements and evidence bundles.

First product

A headless, replayable, and agent-readable GROUND rules engine that can be projected onto an increasingly physical virtual tabletop, while every new capability remains replaceable, measurable, and financeable through TargetRevenue.

Implementation order

  1. Headless GROUND — full authoritative state, 26 players, commit/reveal, relationships, DARVO, GROUND practice, CLI player, replay and scenario tests, simple bots. No rendering, no physics.
  2. Inspectable 2D table — card/token/hand/relationship-graph visualization, drag-to-propose, debug inspector, hot-seat play.
  3. Physical 3D tabletop — wgpu renderer, Rapier-backed physics, camera and pointer controls, snap zones, asset importer.
  4. Networked sessions — authoritative host, private projections, commit/reveal protocol, reconnection, replay verification, spectator mode.
  5. Game creation framework — object prototypes, scene/zone editors, card/deck importer, package validation, Wasm game components.
  6. Prove generality — implement one deliberately different fixture game; only then promote duplicated GROUND abstractions into the stable Clay Canon.

No concept becomes canonical merely because it looks general. It becomes canonical after surviving a second concrete use.

Provenance

This intent is distilled from the fuller architectural exploration in history/260730-InitialExploration.md, which also covers the runtime substrate, simulation kernel, physics subsystem, world-building layer, tabletop domain framework, networking architecture, the agentic inner loop (work packets, CLI surface, quality gates), and the TargetRevenue business-control model in full detail.