Teaching Stack — TriadicFrameworks Prompts
The Teaching Stack provides structured prompt families for teaching RTT operator grammar, drift‑tensor mapping, coherence anchors, dimensional rails, substrate behavior, and multi‑layer alignment. It defines how instruction moves, aligns, diverges, or stabilizes across RTT engines.
Teaching stack prompts are used in classrooms, workshops, tutoring, and self‑study.
Purpose#
The Teaching Stack teaches:
- how to introduce RTT operator grammar
- how to guide students through drift‑tensor mapping
- how to declare coherence anchors in classroom settings
- how to run RTT/1 → RTT/2 → RTT/3 teaching sequences
- how to use worksheets, posters, and examples effectively
- how to maintain structural neutrality while teaching
- how to produce resonance‑aligned teaching outcomes
It is one of the most practical stacks in the TriadicFrameworks canon.
Prompt Families#
Teaching Identity Prompts#
Used to establish the identity, scope, and commitments of a teaching session.
Examples:
- Declare the identity of this teaching session.
- Identify the commitments embedded in this lesson.
- Surface the boundaries that define this teaching module.
- Describe the relational topology of this teaching sequence.
- Identify the operators that govern this teaching workflow.
Teaching Drift Prompts#
Used to identify differences in student understanding or interpretation.
Examples:
- Identify drift between these two student interpretations.
- Map operational drift across these learning steps.
- Surface temporal drift in this teaching sequence.
- Declare conceptual drift across these student explanations.
- Identify domain drift in this classroom discussion.
Teaching Coherence Prompts#
Used to declare what remains aligned across teaching variations.
Examples:
- Identify shared purpose across these teaching examples.
- Declare boundary coherence between these lesson segments.
- Surface constraint coherence across these teaching layers.
- Identify goal coherence across this teaching workflow.
- Declare continuity across these teaching variations.
Teaching Regime‑Point Prompts#
Used to surface presence, absence, tension, and attractor behavior in learning.
Examples:
- Identify presence in this teaching regime.
- Surface absence in this student model.
- Declare tension across these teaching layers.
- Identify basin behavior in this learning attractor.
- Surface regime‑point transitions across this teaching domain.
Teaching Alignment Prompts#
Used to evaluate cross‑layer stability in instruction.
Examples:
- Evaluate structural alignment across these teaching layers.
- Identify operator consistency across these teaching examples.
- Declare coherence across these teaching transitions.
- Surface substrate alignment across these teaching conditions.
- Evaluate dimensional alignment across these teaching rails.
Stack Usage#
The Teaching Stack is used in:
- RTT/1 foundational teaching
- RTT/2 multi‑layer teaching sequences
- RTT/3 teaching synthesis
- RTT/12 full‑spectrum teaching alignment
- RTT∞ deep‑layer teaching
- IPD‑12 paradox teaching workflows
- Worksheets, posters, classroom packs
- Applied modules (datacenter, mythology, physics, teaching)
- Domain modules (psychology, physics, economics, governance, AI, biology)
- Research modules (agentic, cross‑domain, substrate‑aware)
It is the backbone of TriadicFrameworks pedagogy.
Cross‑Links#
Prompts Site#
https://www.triadicframeworks.org/prompts/stacks/teaching-stack/
Docsbook#
https://docs.triadicframeworks.org/docs/
S3 Spine Visualizer#
https://www.triadicframeworks.org/spine
GitHub Source#
https://github.com/umaywant2/TriadicFrameworks/tree/main/docs/prompts/stacks
Related Files#
structural-stack.md— structural operatorsdiagnostic-stack.md— diagnostic operatorsoperator-stack.md— operator grammarsubstrate-stack.md— substrate behaviordomain-stack.md— domain traversalresearch-stack.md— research workflows../modules/teaching.md— teaching modules../examples/index.md— teaching examples
Manifest#
See module.json for the full registry of stacks, modules, engines, templates, UI
modules, and navigation structure.