Domain Modules — TriadicFrameworks Prompts

Domain modules provide structured RTT workflows for analyzing scientific, civic, cultural, biological, physical, and computational domains using the TriadicFrameworks substrate. Each module expresses a domain in RTT terms—operators, drift patterns, coherence anchors, dimensional behavior, and cross‑domain alignment.

These modules include explainers, structured prompts, diagnostics, worksheets, and cross‑links to the Docsbook and S3 Spine Visualizer.

This page is the front door for all domain‑level prompt modules.

Purpose#

Domain modules teach:

how RTT engines reinterpret scientific and civic domains
how drift manifests inside domain boundaries
how coherence anchors stabilize domain reasoning
how domain‑specific operators behave across RTT layers
how to evaluate cross‑domain alignment (psychology ↔ economics ↔ governance ↔ AI ↔ biology ↔ physics)
how to maintain structural neutrality while analyzing domain systems

They are used in teaching, analysis, research, and cross‑domain RTT workflows.

Canonical Domain Set#

TriadicFrameworks defines six canonical domains:

Psychology#

Identity, cognition, emotion, development, trauma, relational‑time structures.

Physics#

Dimensional invariants, fields, energy, classical ↔ quantum transitions, substrate behavior.

Economics#

Resource flows, incentives, volatility basins, market regimes, cross‑domain coupling.

Governance#

Institutions, legitimacy, stability basins, governance transitions, collective identity.

AI / Agents#

Artificial cognition, multi‑regime learning, alignment invariants, substrate‑aware reasoning.

Biology#

Metabolism, evolution, environmental coupling, multi‑scale biological dynamics.

Each domain is expressed using RTT operators, drift‑tensor mapping, and coherence anchors.

Domain Module Categories#

Foundational Domain Modules (RTT/1)#

Basic operator grammar, drift detection, coherence declaration inside domain boundaries.

Intermediate Domain Modules (RTT/2)#

Cross‑layer domain traversal, multi‑layer drift mapping, domain alignment.

Advanced Domain Modules (RTT/3)#

Regime‑point detection, domain tension surfacing, structural synthesis.

Full‑Spectrum Domain Modules (RTT/12)#

Full‑stack domain traversal, multi‑regime alignment, deep‑layer readiness.

Deep‑Layer Domain Modules (RTT∞)#

Vacuum → substrate‑tensor → rails → prime‑states → infinite regimes applied to domains.

Example Domain Modules#

Psychology Domain Module
Cognitive regimes, emotional activation, identity structures, developmental arcs.
Physics Domain Module
Dimensional invariants, classical ↔ quantum drift, coherence anchors.
Economics Domain Module
Market regimes, incentive drift, volatility basins, cross‑domain coupling.
Governance Domain Module
institutional regimes, legitimacy dynamics, governance transitions.
AI / Agents Domain Module
multi‑regime learning, alignment invariants, substrate‑aware cognition.
Biology Domain Module
metabolic regimes, evolutionary transitions, environmental coupling.

Cross‑Links#

index.md — modules front‑door
applied.md — applied modules
diagnostic.md — diagnostic modules
dimensional.md — dimensional modules
theoretical.md — theoretical modules
teaching.md — teaching modules
../examples/index.md — examples directory
../engines/index.md — RTT engines

Manifest#

See module.json for the full registry of domain modules, engines, stacks, templates, UI modules, and navigation structure.

Updated Jul 19, 2026