Preserve initial frontend pattern language research scaffold

Assistant: codex
Assistant-Model: gpt-6-astra
Assistant-Session: 01a0cffe-206f-7323-89d3-b20ca4cf4bf9

research/concepts/GenerativeSequence.md

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+# Concept — Generative Frontend Architecture Sequence
+
+Status: hypothesis
+
+## Candidate sequence
+
+```text
+Characterize Experience
+→ Place Authority
+→ Establish Addressability
+→ Place Projection
+→ Choose Communication Window
+→ Add Local Affordances
+→ Define Mutation & Reconciliation
+→ Establish Feature Boundaries
+→ Establish Deployment Boundaries
+→ Strengthen Quality Boundaries
+→ Measure & Adapt
+```
+
+## Hypothesis
+
+Ordering matters.
+
+For example:
+
+- authority influences synchronization,
+- addressability influences navigation and projection,
+- projection placement influences execution cost,
+- local affordances influence mutation/reconciliation requirements,
+- feature boundaries may later justify deployment boundaries.
+
+The language should capture these causal dependencies rather than present all patterns as an unordered menu.
+
+## Validation
+
+Test the sequence against contrasting frontend systems and record:
+
+- decisions that occur too early,
+- missing decisions,
+- unavoidable feedback loops,
+- architecture types that require alternate branches.