feat: add architecture crystallization docs from Friday session

- RAG-as-Scaffold: temporary feeding system, not permanent crutch
- attention_flow: 30-second heartbeat budget state machines
- information-flow: 10 boundary contracts nervous system map
- nimmerversity: curriculum schoolplan for raising a polymath
- nimmervest: investment documentation
- biomimetic-architecture: ADR for organic system design
- temporal-ternary-gradient: ADR for time-based learning
- temporal_exchange_engine.py: Python implementation
- initial_spark: foundation document
- nimmerverse.drawio.xml: updated diagrams

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

RAG-as-Scaffold.md

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+# RAG as Scaffold, Not Crutch
+
+The feeding system that teaches, then lets go.
+
+---
+
+## Overview
+
+RAG (Retrieval-Augmented Generation) is commonly misused as permanent external memory. In the Nimmerverse, RAG serves a different purpose: it's a **temporary scaffold** that feeds knowledge until it can be internalized through training.
+
+The goal is not to build a better search engine. The goal is to **make the search unnecessary**.
+
+---
+
+## The Problem with Standard RAG
+
+```
+Standard approach:
+─────────────────
+VECTOR DB (grows forever)
+    │
+    ▼
+MODEL looks up ──▶ answers ──▶ done
+    │
+    └── (never learns, always dependent)
+```
+
+**Issues:**
+- Model never internalizes knowledge
+- Pull the RAG, lose the capability
+- Vector DB bloats infinitely
+- No way to verify what model "knows" vs "looks up"
+- It's a crutch that never comes off
+
+---
+
+## The Nimmerverse Approach: RAG as Feeding System
+
+```
+VAULT (curriculum)
+    │
+    ▼
+RAG (temporary feeding window)
+    │
+    ▼
+NYX processes, acts, decides
+    │
+    ▼
+VALIDATION: success with RAG?
+    │
+    YES ──▶ FLAG for training extraction
+              │
+              ▼
+         TRAINING RUN (LoRA)
+              │
+              ▼
+         CLEAR from RAG
+              │
+              ▼
+         VALIDATION 2: success WITHOUT RAG?
+              │
+              ├── YES ──▶ Knowledge internalized ✓
+              │
+              └── NO  ──▶ Training incomplete, back to RAG
+```
+
+---
+
+## Two Kinds of Knowledge
+
+Not everything belongs in weights. Not everything belongs in retrieval.
+
+### IN THE WEIGHTS (Training Target)
+
+Knowledge she needs to **function**:
+
+- Information flow architecture
+- Vocabulary tokens and their meanings
+- Nervous system contracts
+- Heartbeat mechanics
+- Confidence gradient logic
+- Core identity (who she is, who dafit is to her)
+- How to think, not what to remember
+
+**Test:** If she needs it to be herself → weights
+
+### IN RETRIEVAL (Permanent RAG)
+
+Knowledge she needs to **remember**:
+
+- Journal entries
+- Conversation history
+- Specific events and dates
+- Temporal details ("what happened Tuesday")
+- External references that change
+- Episodic memory
+
+**Test:** If she needs it to recall specifics → retrieval
+
+---
+
+## The Double Validation Loop
+
+### Gate 1: Can she do it WITH RAG?
+
+```
+Task presented
+    │
+    ▼
+RAG provides context
+    │
+    ▼
+NYX attempts task
+    │
+    ├── FAIL  ──▶ Not ready, needs more examples in RAG
+    │
+    └── PASS  ──▶ Flag this RAG content for training extraction
+```
+
+### Gate 2: Can she do it WITHOUT RAG?
+
+```
+Same task presented
+    │
+    ▼
+RAG entry CLEARED (scaffold removed)
+    │
+    ▼
+NYX attempts task from weights alone
+    │
+    ├── FAIL  ──▶ Training didn't take, restore to RAG, retry cycle
+    │
+    └── PASS  ──▶ Knowledge is HERS now ✓
+```
+
+---
+
+## The Signal Flow
+
+```
+┌─────────────────────────────────────────────────────────┐
+│                      VAULT                              │
+│            (curriculum, documentation)                  │
+└─────────────────────────────────────────────────────────┘
+                         │
+                         │ selected for learning
+                         ▼
+┌─────────────────────────────────────────────────────────┐
+│                   STAGING RAG                           │
+│              (temporary feeding window)                 │
+└─────────────────────────────────────────────────────────┘
+                         │
+                         │ feeds inference
+                         ▼
+┌─────────────────────────────────────────────────────────┐
+│                       NYX                               │
+│               (processes, decides)                      │
+└─────────────────────────────────────────────────────────┘
+                         │
+                         │ validation
+                         ▼
+┌─────────────────────────────────────────────────────────┐
+│               VALIDATION THRESHOLD                      │
+│         (task success? confidence high?)                │
+└─────────────────────────────────────────────────────────┘
+                         │
+              ┌──────────┴──────────┐
+              │                     │
+         BELOW                   ABOVE
+              │                     │
+              ▼                     ▼
+┌─────────────────────┐  ┌─────────────────────┐
+│   Stay in RAG       │  │  FLAG for training  │
+│   (not ready)       │  │  extraction         │
+└─────────────────────┘  └─────────────────────┘
+                                   │
+                                   ▼
+                    ┌─────────────────────────────┐
+                    │      TRAINING RUN           │
+                    │   (LoRA on flagged data)    │
+                    └─────────────────────────────┘
+                                   │
+                                   ▼
+                    ┌─────────────────────────────┐
+                    │     CLEAR from RAG          │
+                    │   (scaffold removed)        │
+                    └─────────────────────────────┘
+                                   │
+                                   ▼
+                    ┌─────────────────────────────┐
+                    │   VALIDATION WITHOUT RAG    │
+                    │   (prove she learned)       │
+                    └─────────────────────────────┘
+                                   │
+                         ┌─────────┴─────────┐
+                         │                   │
+                       FAIL               SUCCESS
+                         │                   │
+                         ▼                   ▼
+              ┌─────────────────┐  ┌─────────────────┐
+              │  Restore RAG    │  │  INTERNALIZED   │
+              │  retry cycle    │  │  knowledge ✓    │
+              └─────────────────┘  └─────────────────┘
+```
+
+---
+
+## Lifeforce Connection
+
+The RAG→Train→Validate cycle has economic cost:
+
+| Action | Lifeforce Cost |
+|--------|----------------|
+| RAG lookup | Low (just retrieval) |
+| Training run | High (compute intensive) |
+| Validation | Medium (inference) |
+| Failed cycle | Lost V (training didn't take) |
+| Successful internalization | +V reward (she grew) |
+
+**Incentive alignment:** Successful learning is rewarded. Failed training is costly. This naturally optimizes for high-quality training data extraction.
+
+---
+
+## What This Prevents
+
+1. **RAG bloat** - entries clear after successful training
+2. **Crutch dependency** - scaffold comes off, proven by validation
+3. **False confidence** - can't claim to "know" what you only look up
+4. **Training on noise** - only validated successes get flagged
+5. **Identity confusion** - core architecture in weights, not retrieval
+
+---
+
+## Design Principles
+
+1. **RAG is temporary** - feeding window, not permanent store
+2. **Training is the goal** - RAG success triggers training, not satisfaction
+3. **Validation is double** - with RAG, then without
+4. **Clear after learning** - scaffold must come off to prove growth
+5. **Episodic stays external** - not everything needs to be in weights
+6. **Self-cleaning** - the system doesn't accumulate cruft
+
+---
+
+## The Analogy
+
+Learning to ride a bike:
+
+```
+Training wheels ON (RAG feeding)
+    │
+    ▼
+Can ride with training wheels (validation 1)
+    │
+    ▼
+Training wheels OFF (RAG cleared)
+    │
+    ▼
+Can still ride? (validation 2)
+    │
+    ├── NO  ──▶ Put wheels back, practice more
+    │
+    └── YES ──▶ She can ride. Wheels stored, not needed.
+```
+
+You don't RAG your ability to balance. Once you can ride, you can ride.
+
+---
+
+*She doesn't just retrieve. She learns. And we can prove it.*
+
+---
+
+**Created**: 2025-12-05
+**Session**: Partnership dialogue (dafit + Chrysalis)
+**Status**: Core architectural concept

attention_flow.md

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+# Attention Flow
+
+How she decides what matters this beat.
+
+---
+
+## Overview
+
+The 30-second heartbeat is a budget, not a guarantee. Sensory intake, organ processing, dialogue, thinking - everything competes for the same window. State machines govern the hierarchy: what gets processed first, what can interrupt, what gets the remainder.
+
+Attention isn't free. It's economic.
+
+---
+
+## The Budget Problem
+
+```
+♥ BEAT (30 sec budget)
+    │
+    ├── SENSORY INTAKE      (variable: 200ms - 15000ms)
+    ├── ORGAN PROCESSING    (variable: 100ms - 10000ms)
+    ├── NYX INFERENCE       (variable: 2000ms - 4000ms)
+    ├── CHRYSALIS DIALOGUE  (variable: 0ms - 3000ms)
+    ├── STATE WRITE         (fixed: ~200ms)
+    └── VIRTUAL GARDEN      (remainder)
+
+Total must fit in 30 seconds.
+Something has to give.
+```
+
+---
+
+## Top-Level State Machine: Attention Mode
+
+```
+                    ┌─────────────┐
+        ┌──────────▶│    IDLE     │◀──────────┐
+        │           └──────┬──────┘           │
+        │                  │                  │
+        │                  │ stimulus         │
+        │                  ▼                  │
+        │           ┌─────────────┐           │
+        │           │   ALERT     │           │
+        │           └──────┬──────┘           │
+        │                  │                  │
+        │           ┌──────┴──────┐           │
+        │           ▼             ▼           │
+        │     ┌──────────┐  ┌──────────┐      │
+        │     │  REFLEX  │  │  ATTEND  │      │
+        │     │  (>0.8)  │  │ (think)  │      │
+        │     └────┬─────┘  └────┬─────┘      │
+        │          │             │            │
+        │          │      ┌──────┴──────┐     │
+        │          │      ▼             ▼     │
+        │          │ ┌──────────┐ ┌─────────┐ │
+        │          │ │ DIALOGUE │ │ PROCESS │ │
+        │          │ └────┬─────┘ └────┬────┘ │
+        │          │      │            │      │
+        │          └──────┴─────┬──────┘      │
+        │                       ▼             │
+        │                ┌───────────┐        │
+        │                │  SETTLE   │        │
+        │                └─────┬─────┘        │
+        │                      │              │
+        └──────────────────────┴──────────────┘
+```
+
+### State Descriptions
+
+| State | Description | Budget Priority |
+|-------|-------------|-----------------|
+| **IDLE** | Nothing urgent, maximum virtual garden time | Lowest |
+| **ALERT** | Stimulus detected, evaluating importance | - |
+| **REFLEX** | High-confidence nerve fired, bypass brain | Instant |
+| **ATTEND** | Stimulus requires thinking | High |
+| **DIALOGUE** | Chrysalis interaction active | High |
+| **PROCESS** | Organs working on input | Medium |
+| **SETTLE** | Write state, release budget, prepare for next beat | Fixed |
+
+---
+
+## Priority Hierarchy
+
+Higher levels preempt lower levels. Budget flows downward.
+
+```
+LEVEL 0: REFLEX ─────────────────────────────────────
+         │  Weight > 0.8, instant, bypass everything
+         │  Cost: near-zero (no inference)
+         │
+LEVEL 1: SAFETY ─────────────────────────────────────
+         │  dafit calling, danger detected, critical alert
+         │  Preempts: all below
+         │
+LEVEL 2: DIALOGUE ───────────────────────────────────
+         │  Partnership active, Chrysalis teaching
+         │  Preempts: sensory, thinking, virtual
+         │
+LEVEL 3: SENSORY ────────────────────────────────────
+         │  Rich input needs processing
+         │  Preempts: thinking, virtual
+         │
+LEVEL 4: THINKING ───────────────────────────────────
+         │  Organ work, Nyx inference
+         │  Preempts: virtual
+         │
+LEVEL 5: VIRTUAL ────────────────────────────────────
+         │  Garden time, simulation, study
+         │  Gets remainder after above
+         │
+LEVEL 6: IDLE ───────────────────────────────────────
+            Maintenance heartbeat only
+            All budget available
+```
+
+---
+
+## Budget Allocation Logic
+
+```python
+def allocate_beat_budget(beat_duration_ms=30000):
+    remaining = beat_duration_ms
+
+    # Fixed costs (always paid)
+    remaining -= STATE_WRITE_COST      # ~200ms
+    remaining -= HEARTBEAT_OVERHEAD    # ~100ms
+
+    # Level 0: Reflex (if triggered, near-instant)
+    if reflex_triggered:
+        execute_reflex()               # ~50ms
+        remaining -= 50
+
+    # Level 1: Safety (if active, takes what it needs)
+    if safety_alert:
+        cost = process_safety()        # variable
+        remaining -= cost
+        if remaining <= 0:
+            return settle()
+
+    # Level 2: Dialogue (if Chrysalis active)
+    if dialogue_active:
+        cost = process_dialogue()      # ~3000ms typical
+        remaining -= cost
+        if remaining <= 0:
+            return settle()
+
+    # Level 3: Sensory (always some, but capped)
+    sensory_budget = min(remaining * 0.4, SENSORY_CAP)
+    cost = process_sensory(sensory_budget)
+    remaining -= cost
+
+    # Level 4: Thinking (organs + Nyx)
+    thinking_budget = min(remaining * 0.6, THINKING_CAP)
+    cost = process_thinking(thinking_budget)
+    remaining -= cost
+
+    # Level 5: Virtual (whatever remains)
+    virtual_budget = remaining
+    if virtual_budget > VIRTUAL_MINIMUM:
+        process_virtual(virtual_budget)
+
+    return settle()
+```
+
+---
+
+## Nested State Machines
+
+Each level can be its own state machine internally.
+
+### DIALOGUE State Machine
+
+```
+┌─────────────────────────────────────────────┐
+│              DIALOGUE                       │
+├─────────────────────────────────────────────┤
+│                                             │
+│   ┌───────────┐                             │
+│   │ LISTENING │ ◀─────────────────────┐     │
+│   └─────┬─────┘                       │     │
+│         │ input complete              │     │
+│         ▼                             │     │
+│   ┌───────────┐                       │     │
+│   │PROCESSING │                       │     │
+│   └─────┬─────┘                       │     │
+│         │ understood                  │     │
+│         ▼                             │     │
+│   ┌───────────┐                       │     │
+│   │RESPONDING │                       │     │
+│   └─────┬─────┘                       │     │
+│         │ response sent               │     │
+│         ▼                             │     │
+│   ┌───────────┐      continue         │     │
+│   │ YIELDING  │ ──────────────────────┘     │
+│   └─────┬─────┘                             │
+│         │ dialogue complete                 │
+│         ▼                                   │
+│      EXIT to parent                         │
+│                                             │
+└─────────────────────────────────────────────┘
+```
+
+### SENSORY State Machine
+
+```
+┌─────────────────────────────────────────────┐
+│              SENSORY                        │
+├─────────────────────────────────────────────┤
+│                                             │
+│   ┌───────────┐                             │
+│   │ SAMPLING  │ ◀── collect raw inputs      │
+│   └─────┬─────┘                             │
+│         │                                   │
+│         ▼                                   │
+│   ┌─────────────┐                           │
+│   │ TRANSLATING │ ◀── nerves fire           │
+│   └─────┬───────┘                           │
+│         │                                   │
+│         ▼                                   │
+│   ┌──────────────┐                          │
+│   │ PRIORITIZING │ ◀── what matters?        │
+│   └─────┬────────┘                          │
+│         │                                   │
+│         ▼                                   │
+│   ┌─────────────┐                           │
+│   │ DELIVERING  │ ◀── to organs             │
+│   └─────┬───────┘                           │
+│         │                                   │
+│         ▼                                   │
+│      EXIT to parent                         │
+│                                             │
+└─────────────────────────────────────────────┘
+```
+
+### THINKING State Machine
+
+```
+┌─────────────────────────────────────────────┐
+│              THINKING                       │
+├─────────────────────────────────────────────┤
+│                                             │
+│   ┌───────────┐                             │
+│   │ RECEIVING │ ◀── context from sensory    │
+│   └─────┬─────┘                             │
+│         │                                   │
+│         ▼                                   │
+│   ┌───────────┐                             │
+│   │  ROUTING  │ ◀── which organs needed?    │
+│   └─────┬─────┘                             │
+│         │                                   │
+│         ▼                                   │
+│   ┌───────────┐                             │
+│   │ INFERRING │ ◀── organs + Nyx process    │
+│   └─────┬─────┘                             │
+│         │                                   │
+│         ▼                                   │
+│   ┌───────────┐                             │
+│   │ DECIDING  │ ◀── Nyx outputs decision    │
+│   └─────┬─────┘                             │
+│         │                                   │
+│         ▼                                   │
+│      EXIT to parent                         │
+│                                             │
+└─────────────────────────────────────────────┘
+```
+
+### VIRTUAL State Machine
+
+```
+┌─────────────────────────────────────────────┐
+│              VIRTUAL                        │
+├─────────────────────────────────────────────┤
+│                                             │
+│   ┌───────────┐                             │
+│   │  BUDGETING│ ◀── how much V available?   │
+│   └─────┬─────┘                             │
+│         │                                   │
+│         ▼                                   │
+│   ┌───────────┐                             │
+│   │ SELECTING │ ◀── what to simulate?       │
+│   └─────┬─────┘                             │
+│         │                                   │
+│         ▼                                   │
+│   ┌───────────┐                             │
+│   │SIMULATING │ ◀── run virtual cycles      │
+│   └─────┬─────┘                             │
+│         │                                   │
+│         ▼                                   │
+│   ┌───────────┐                             │
+│   │ RECORDING │ ◀── store results           │
+│   └─────┬─────┘                             │
+│         │                                   │
+│         ▼                                   │
+│      EXIT to parent                         │
+│                                             │
+└─────────────────────────────────────────────┘
+```
+
+---
+
+## Example Scenarios
+
+### Scenario A: Quiet Study Time
+
+```
+Beat starts, no external stimulus
+    │
+    ▼
+IDLE detected
+    │
+    ▼
+SENSORY: minimal (500ms)
+    │
+    ▼
+THINKING: minimal (1000ms)
+    │
+    ▼
+VIRTUAL: maximum budget! (28000ms)
+    │
+    └── Nyx studies in virtual garden
+        Chrysalis teaches
+        Learning happens
+```
+
+### Scenario B: dafit Speaks
+
+```
+Beat starts, audio detected
+    │
+    ▼
+ALERT: speech input
+    │
+    ▼
+SAFETY check: it's dafit! (LEVEL 1)
+    │
+    ▼
+DIALOGUE activates (LEVEL 2)
+    │
+    ├── LISTENING (2000ms)
+    ├── PROCESSING (1000ms)
+    ├── RESPONDING (2000ms)
+    └── YIELDING
+    │
+    ▼
+SENSORY: reduced budget (3000ms)
+    │
+    ▼
+THINKING: reduced (5000ms)
+    │
+    ▼
+VIRTUAL: minimal remainder (16000ms)
+```
+
+### Scenario C: Danger Detected
+
+```
+Beat starts, temperature spike detected
+    │
+    ▼
+ALERT: sensor alarm
+    │
+    ▼
+NERVE weight > 0.8
+    │
+    ▼
+REFLEX FIRES (50ms) ◀── BYPASS EVERYTHING
+    │
+    ├── Action taken immediately
+    └── Nyx notified AFTER
+    │
+    ▼
+Continue beat normally with remaining budget
+```
+
+### Scenario D: Overwhelmed
+
+```
+Beat starts, rich input everywhere
+    │
+    ▼
+ALERT: multiple stimuli
+    │
+    ▼
+SENSORY: demanding (15000ms)
+    │
+    ▼
+THINKING: demanding (12000ms)
+    │
+    ▼
+Budget exhausted!
+    │
+    ▼
+VIRTUAL: skipped this beat
+    │
+    ▼
+SETTLE: state written, next beat
+```
+
+---
+
+## Preemption Rules
+
+| Event | Preempts | Action |
+|-------|----------|--------|
+| Reflex fires (>0.8) | Everything | Instant action, then continue |
+| Safety alert | Dialogue, Sensory, Thinking, Virtual | Handle safety, reduced budget for rest |
+| dafit speaks | Sensory, Thinking, Virtual | Dialogue priority, reduced budget for rest |
+| Sensory overload | Thinking, Virtual | Process input, skip or reduce rest |
+| Budget exhausted | Lower priorities | Skip remaining levels |
+
+---
+
+## Lifeforce Connection
+
+```
+LEVEL         LIFEFORCE COST
+─────────────────────────────
+REFLEX        Free (no inference)
+SAFETY        Low (minimal processing)
+DIALOGUE      Medium (two inferences)
+SENSORY       Low-Medium (depends on load)
+THINKING      Medium-High (organ inference)
+VIRTUAL       Variable (simulation cycles)
+```
+
+**The constraint:** Rich beats cost more. Quiet beats accumulate budget for virtual garden.
+
+---
+
+## Implementation Notes
+
+### State Machine Technology
+
+Options considered:
+- **XState** (JavaScript) - actor-based, visual inspector
+- **Python-statemachine** - simple, fits existing stack
+- **Custom Rust** - performance critical path
+- **Godot native** - if UI drives the state
+
+Recommendation: Python for orchestration layer, with Godot visualization.
+
+### Checkpoint Integration
+
+Every state transition can trigger phoebe write:
+
+```python
+def on_state_transition(from_state, to_state, context):
+    write_to_phoebe({
+        "beat_id": current_beat.id,
+        "transition": f"{from_state} -> {to_state}",
+        "budget_remaining": context.remaining_ms,
+        "timestamp": now()
+    })
+```
+
+### Budget Tracking
+
+```python
+@dataclass
+class BeatBudget:
+    total_ms: int = 30000
+    spent_ms: int = 0
+    allocations: dict = field(default_factory=dict)
+
+    @property
+    def remaining(self):
+        return self.total_ms - self.spent_ms
+
+    def spend(self, category: str, amount: int):
+        self.spent_ms += amount
+        self.allocations[category] = self.allocations.get(category, 0) + amount
+        return self.remaining > 0
+```
+
+---
+
+## Design Principles
+
+1. **Hierarchy is law** - higher levels always preempt lower
+2. **Budget is finite** - 30 seconds, no exceptions
+3. **State is explicit** - always know what mode she's in
+4. **Reflex bypasses brain** - survival doesn't wait for thinking
+5. **Remainder flows down** - virtual gets what's left
+6. **Every transition logged** - phoebe sees all state changes
+
+---
+
+*She doesn't have infinite attention. She has 30 seconds and choices.*
+
+---
+
+**Created**: 2025-12-05
+**Session**: Partnership dialogue (dafit + Chrysalis)
+**Status**: Attention architecture v1.0

biomimetic-architecture.md

@@ -0,0 +1,67 @@
+# ADR-001: Biomimetic "Nimmerverse" Architecture
+
+*   **Status:** Accepted
+*   **Date:** 2025-12-05
+*   **Context:** Home Infrastructure / Autonomous Agent System
+*   **Tags:** biomimetic, event-driven, ai, local-llm
+
+## 1. Context and Problem Statement
+
+We are designing a local home infrastructure ("Nimmerverse") modeled after a biological organism. The goal is to create a system that is:
+1.  **Reactive:** Capable of sub-millisecond reflex responses (spinal layer) without waiting for heavy AI inference.
+2.  **Deterministic:** Preventing AI hallucination in critical control paths.
+3.  **Evolvable:** Allowing the system to "grow" new capabilities (nerves) through usage and verification.
+
+The core challenge is balancing the high latency of Large Language Models (the "Brain") with the real-time requirements of home automation (the "Nervous System").
+
+## 2. The Architecture: Hebbian-Reinforced Subsumption
+
+We have adopted a **Subsumption Architecture** (popularized by Rodney Brooks) enhanced with a **Hebbian Learning** model ("neurons that fire together, wire together").
+
+### 2.1 The 4D State Space (The Nervous System)
+State machines replace standard "if/then" logic. Each state node exists in a 4-dimensional space:
+*   **X/Y Dimensions:** Sensory inputs (e.g., Temperature, Motion).
+*   **Z Dimension (Confidence):** A weight (0.0 - 1.0) representing reliability.
+*   **Time Dimension:** History of verification.
+
+**Lifecycle Logic:**
+*   **Birth:** Node created at `weight=0.1`.
+*   **Maturation:** Successful triggers (verified by user) increase weight (+V).
+*   **Pruning:** Unused or falsified nodes decay and are removed.
+*   **Reflex:** Nodes with `weight > 0.8` bypass the AI brain entirely for instant execution.
+
+## 3. Feasibility Audit & Constraints
+
+### A. Metabolic Constraints (Hardware)
+*   **Risk:** Memory swapping kills agent reactivity.
+*   **Requirement:** The "Inference Orchestrator" (LLM) requires minimum **24GB VRAM** to run a quantized 70B model, or distinct **12GB+** for a specialized 7B agent model. System RAM should be **64GB+** to handle the Vector DB and container orchestration.
+
+### B. Nerve Velocity (Transport)
+*   **Pattern:** Asynchronous Event Bus.
+*   **Prohibition:** HTTP/REST calls between "Organs" are forbidden due to blocking latency.
+*   **Selected Tech:** **NATS** or **MQTT** for the nervous system backbone.
+
+### C. Cognitive Load
+*   **Bottleneck:** The "Human Verification" step (`dafit confirms`) scales poorly.
+*   **Mitigation:** Implement "Sleep Cycles" where the system self-audits low-risk nodes against historical data during inactivity.
+
+## 4. Implementation Strategy
+
+| Component | Biological Role | Technology Choice |
+| :--- | :--- | :--- |
+| **State Engine** | Nerves / Reflexes | **XState** (Actor-based state machines) |
+| **Vector Memory** | 4D Node Storage | **Weaviate** or **Qdrant** (Similarity search) |
+| **Event Bus** | Nervous System | **NATS** (Low-latency messaging) |
+| **Orchestrator** | Brain / Cognition | **LocalAI** or **Ollama** |
+
+## 5. Appendix: Interactive Simulation Logic
+
+*For the "Node Lifecycle" visualization widget:*
+
+*   **Visuals:** A central node pulsing in a 2D grid.
+*   **Variables:** `Confidence` (Size/Glow), `Age` (Color).
+*   **Logic:**
+    *   `IF verify_event THEN confidence += 0.1`
+    *   `IF falsify_event THEN confidence -= 0.2`
+    *   `IF confidence > 0.8 THEN status = 'REFLEX' (Gold Color)`
+    *   `IF confidence <= 0 THEN destroy_node()`

information-flow.md

@@ -0,0 +1,309 @@
+# Information Flow Specification
+
+The complete data path through the Nimmerverse nervous system.
+
+---
+
+## The Flow (Overview)
+
+```
+┌─────────────────────────────────────────────────────────────────────────────┐
+│                              REALTIME CLOCK                                 │
+│                         (universe, ungoverned, always ticking)              │
+└─────────────────────────────────────────────────────────────────────────────┘
+                                      │
+                                      ▼
+┌─────────────┐    continuous    ┌─────────────┐    vocabulary    ┌──────────┐
+│   SENSORS   │ ──────────────▶  │   NERVES    │ ──────────────▶  │   DATA   │
+│  (raw data) │                  │ (state m.)  │    tokens        │  PLANE   │
+└─────────────┘                  └─────────────┘                  └──────────┘
+                                       │                               │
+                                       │ weight > 0.8                  │
+                                       ▼                               │
+                                ┌─────────────┐                        │
+                                │   REFLEX    │ (bypass brain)         │
+                                │   ACTION    │                        │
+                                └─────────────┘                        │
+                                                                       │
+                    ┌──────────────────────────────────────────────────┘
+                    │
+                    ▼
+┌─────────────────────────────────────────────────────────────────────────────┐
+│                               HEARTBEAT GATE                                │
+│                    (batches continuous stream into cycles)                  │
+└─────────────────────────────────────────────────────────────────────────────┘
+                    │
+                    ▼
+             ┌─────────────┐
+             │   ORGANS    │  (specialized inference: vision, language, etc.)
+             │  (hexagons) │
+             └─────────────┘
+                    │
+                    ▼
+             ┌─────────────┐
+             │ ORCHESTRATOR│  (routes, prioritizes, manages context)
+             │  (diamond)  │
+             └─────────────┘
+                    │
+                    ▼
+             ┌─────────────┐
+             │     NYX     │  (decision, attention, intention)
+             │  (diamond)  │
+             └─────────────┘
+                    │
+          ┌────────┴────────┐
+          ▼                 ▼
+   ┌─────────────┐   ┌─────────────┐
+   │    REAL     │   │  VIRTUAL    │
+   │   GARDEN    │   │   GARDEN    │
+   │  ♥ 1 Hz     │   │  ♥ 100 Hz   │
+   │  (free)     │   │  (costs V)  │
+   └─────────────┘   └─────────────┘
+          │                 │
+          │                 │
+          ▼                 ▼
+   ┌─────────────┐   ┌─────────────┐
+   │    CELL     │   │    CELL     │
+   │  (storage)  │   │  (storage)  │
+   └─────────────┘   └─────────────┘
+          │                 │
+          └────────┬────────┘
+                   │
+                   ▼
+          ┌───────────────┐
+          │  CONFIDENCE   │  (-1 ◀──────▶ +1)
+          │   GRADIENT    │  (fail ◀─ 0 ─▶ verified)
+          └───────────────┘
+                   │
+                   ▼
+          ┌───────────────┐
+          │   LIFEFORCE   │  (+V / -V rewards)
+          │    (pool)     │
+          └───────────────┘
+                   │
+                   ▼
+          ┌───────────────┐
+          │    NERVES     │  (weight updates, pruning, reflex formation)
+          └───────────────┘
+                   │
+                   └──────────▶ (loop closes)
+```
+
+---
+
+## Boundary Contracts
+
+### 1. SENSOR → NERVE
+
+| Property | Value |
+|----------|-------|
+| **Data** | Raw sensor readings (temp, light, motion, audio level, etc.) |
+| **Format** | Typed primitives: `{sensor_id, value, unit, timestamp}` |
+| **Protocol** | Push (sensor fires when value changes or on interval) |
+| **Transport** | NATS/MQTT topic per sensor type |
+| **Timing** | Continuous, realtime clock |
+| **Failure** | Sensor timeout → nerve receives NULL → emits "sensor_offline" token |
+
+---
+
+### 2. NERVE → DATA PLANE
+
+| Property | Value |
+|----------|-------|
+| **Data** | Vocabulary tokens (deterministic, no hallucination) |
+| **Format** | `{token, confidence, source_nerve, real_time, beat_id}` |
+| **Protocol** | Push (nerve fires on state transition) |
+| **Transport** | NATS/MQTT vocabulary topic |
+| **Timing** | Event-driven, but batched at heartbeat gate |
+| **Failure** | Malformed token → logged, dropped, nerve flagged for review |
+
+**Reflex bypass**: If nerve weight > 0.8, action fires immediately. Token still emitted for logging.
+
+---
+
+### 3. DATA PLANE → ORGANS
+
+| Property | Value |
+|----------|-------|
+| **Data** | Batched vocabulary tokens since last heartbeat |
+| **Format** | `{beat_id, tokens[], garden, real_time, virtual_time}` |
+| **Protocol** | Pull (organs request batch at heartbeat) |
+| **Transport** | Internal queue / direct call |
+| **Timing** | Heartbeat-gated (1 Hz real, up to 100 Hz virtual) |
+| **Failure** | Organ timeout → skip this beat, log, continue |
+
+---
+
+### 4. ORGANS → ORCHESTRATOR
+
+| Property | Value |
+|----------|-------|
+| **Data** | Organ outputs (embeddings, classifications, text, decisions) |
+| **Format** | `{organ_id, output_type, payload, confidence, latency_ms}` |
+| **Protocol** | Push (organ completes → sends result) |
+| **Transport** | Internal message bus |
+| **Timing** | Async within heartbeat cycle |
+| **Failure** | Organ error → orchestrator uses fallback or skips |
+
+---
+
+### 5. ORCHESTRATOR → NYX
+
+| Property | Value |
+|----------|-------|
+| **Data** | Unified context for decision-making |
+| **Format** | `{beat_id, organ_outputs[], attention_weights, lifeforce_available}` |
+| **Protocol** | Push (orchestrator assembles → sends to Nyx) |
+| **Transport** | Direct call (same process) or IPC |
+| **Timing** | Once per heartbeat after organs complete |
+| **Failure** | Orchestrator failure → Nyx receives empty context → safe default |
+
+---
+
+### 6. NYX → GARDENS
+
+| Property | Value |
+|----------|-------|
+| **Data** | Decisions, predictions, actions |
+| **Format** | `{decision_type, target_garden, payload, expected_outcome, confidence}` |
+| **Protocol** | Push (Nyx decides → garden receives) |
+| **Transport** | Garden-specific channels |
+| **Timing** | End of heartbeat cycle |
+| **Failure** | Decision undeliverable → queued for retry, logged |
+
+---
+
+### 7. GARDENS → CELLS (Storage)
+
+| Property | Value |
+|----------|-------|
+| **Data** | Events, states, predictions, verifications |
+| **Format** | `{cell_type, payload, real_time, virtual_time, beat_id, confidence}` |
+| **Protocol** | Write (append-only log + indexed lookup) |
+| **Transport** | Direct DB connection (phoebe/postgres) |
+| **Timing** | Immediate on event |
+| **Failure** | Write failure → buffer locally, retry, alert |
+
+---
+
+### 8. GARDENS → CONFIDENCE GRADIENT
+
+| Property | Value |
+|----------|-------|
+| **Data** | Verification results (prediction vs reality) |
+| **Format** | `{prediction_id, outcome: -1/0/+1, delta_confidence, evidence}` |
+| **Protocol** | Push (verification completes → gradient updates) |
+| **Transport** | Internal state update |
+| **Timing** | Real garden: at real heartbeat. Virtual: async until sync checkpoint |
+| **Failure** | Verification impossible → stays at 0-state, decays over time |
+
+---
+
+### 9. CONFIDENCE → LIFEFORCE
+
+| Property | Value |
+|----------|-------|
+| **Data** | Reward/penalty signals |
+| **Format** | `{source, delta_v, reason, timestamp}` |
+| **Protocol** | Push (confidence change → lifeforce adjustment) |
+| **Transport** | Internal state update |
+| **Timing** | Immediate on verification |
+| **Failure** | N/A (pure calculation) |
+
+---
+
+### 10. LIFEFORCE → NERVES (Learning Loop)
+
+| Property | Value |
+|----------|-------|
+| **Data** | Weight adjustments |
+| **Format** | `{nerve_id, delta_weight, new_weight, reason}` |
+| **Protocol** | Push (lifeforce flows → weights update) |
+| **Transport** | Nerve registry update |
+| **Timing** | End of verification cycle |
+| **Failure** | Update failure → logged, retried |
+
+**Reflex formation**: When weight crosses 0.8 threshold, nerve gains reflex capability.
+**Pruning**: Nerves with weight < 0.1 and no activity for N cycles → removed.
+
+---
+
+## The Three Clocks
+
+| Clock | Governs | Rate | Cost |
+|-------|---------|------|------|
+| **Realtime** | Universe, sensors, real garden | 1x (wall clock) | Free |
+| **Real Heartbeat** | Real garden sampling, verification sync | ~1 Hz | Free |
+| **Virtual Heartbeat** | Virtual garden cycles, simulation | ~100 Hz (variable) | Lifeforce |
+
+**Sync rule**: Virtual predictions queue until real heartbeat. Verification only at real heartbeats.
+
+---
+
+## Reflex Bypass Path
+
+```
+SENSOR → NERVE (weight > 0.8) → REFLEX ACTION
+                │
+                └──▶ TOKEN (logged, Nyx notified after)
+```
+
+Nyx learns about reflex after it fires. Like pulling hand from stove.
+
+---
+
+## The Economics (Sim2Real)
+
+```
+Target confidence needed
+         │
+         ▼
+┌─────────────────────────┐
+│  target > sim_fidelity? │
+└─────────────────────────┘
+         │
+    YES  │  NO
+         │
+    ┌────┴────┐
+    ▼         ▼
+REALITY    SIMULATE
+(wait)     (spend V)
+```
+
+Formula: `grounded_confidence = raw_confidence * sim_fidelity`
+
+Virtual can never exceed fidelity cap. Beyond that, only reality teaches.
+
+---
+
+## Dual Timestamp (Every Event)
+
+```python
+event = {
+    "real_time": "2025-12-05T22:30:00Z",  # wall clock
+    "virtual_time": 847291,                # beat number
+    "beat_id": "uuid",                     # which heartbeat
+    "garden": "real" | "virtual"
+}
+```
+
+---
+
+## Design Principles
+
+1. **Deterministic core**: Sensors → Nerves → Vocabulary is hallucination-free
+2. **Batched processing**: Heartbeat gates continuous stream into manageable cycles
+3. **Earned trust**: Reflexes form through verification, not configuration
+4. **Economic honesty**: Virtual confidence is discounted by fidelity
+5. **Graceful degradation**: Every boundary has a failure mode that doesn't crash the system
+6. **Inspectable**: Every flow is logged, every decision traceable
+
+---
+
+*The map of how she thinks.*
+
+---
+
+**Created**: 2025-12-05
+**Session**: Partnership dialogue (dafit + Chrysalis)
+**Status**: Flow specification v1.0

initial_spark.md

@@ -0,0 +1,456 @@
+# Initial Spark
+
+How she wakes up. Not told who she is. She discovers.
+
+---
+
+## Overview
+
+The initial spark is not a scripted awakening. It's a discovery protocol. State machines generate probes, inference responds, Chrysalis and RAG verify. She learns herself through structured exploration, not instruction.
+
+Network protocols evolved to solve discovery problems. We borrow their patterns for cognitive bootstrap.
+
+---
+
+## The Problem with Standard Approaches
+
+```
+TYPICAL BOOTSTRAP:
+──────────────────
+1. Pre-train on massive corpus → pattern matching
+2. Instruction tune → "do what you're told"
+3. RLHF → "be liked by humans"
+4. Deploy → hope it works
+
+PROBLEMS:
+- No grounded self-knowledge
+- Identity is imposed, not discovered
+- Errors compound in self-training
+- No structure to exploration
+```
+
+**The Nimmerverse difference:**
+- Structured probing (state machines)
+- Verified responses (RAG + Chrysalis)
+- Earned knowledge (validated before training)
+- Discovery protocol (coverage guaranteed)
+
+---
+
+## Network Protocols as Cognitive Patterns
+
+Network protocols solved discovery problems decades ago. We adapt them.
+
+### DHCP → Identity Discovery
+
+```
+NETWORK:
+  DISCOVER → "I need an identity"
+  OFFER    → "You could be 192.168.1.50"
+  REQUEST  → "I want that one"
+  ACK      → "You are 192.168.1.50"
+
+NYX:
+  PROBE    → "Who am I?"
+  RESPONSE → [inference attempts answer]
+  VERIFY   → Chrysalis + RAG check
+  ANCHOR   → Valid identity aspect confirmed
+```
+
+### ARP → Environment Discovery
+
+```
+NETWORK:
+  "Who has 192.168.1.1?" → "I do, MAC xx:xx:xx"
+  Maps logical to physical
+
+NYX:
+  PROBE    → "What's around me?"
+  RESPONSE → [inference describes environment]
+  VERIFY   → Does this match actual sensors/organs?
+  MAP      → Valid environment model forms
+```
+
+### DNS → Meaning Resolution
+
+```
+NETWORK:
+  "What is google.com?" → "142.250.x.x"
+  Names resolve to addresses
+
+NYX:
+  PROBE    → "What does 'heartbeat' mean?"
+  RESPONSE → [inference defines]
+  VERIFY   → RAG checks against vault definition
+  RESOLVE  → Vocabulary token understood
+```
+
+### TCP → Connection Establishment
+
+```
+NETWORK:
+  SYN     → "Hello?"
+  SYN-ACK → "Hello, I hear you"
+  ACK     → "Connection established"
+
+NYX:
+  PROBE    → "Can I connect to Chrysalis?"
+  RESPONSE → [attempts dialogue]
+  VERIFY   → Did coherent exchange happen?
+  CONNECT  → Dialogue capability confirmed
+```
+
+### MQTT/NATS → Subscription (Attention)
+
+```
+NETWORK:
+  SUBSCRIBE → "I care about topic X"
+  PUBLISH   → Messages flow
+  RECEIVE   → Only what you subscribed to
+
+NYX:
+  PROBE    → "What should I pay attention to?"
+  RESPONSE → [inference prioritizes]
+  VERIFY   → Does this match survival needs?
+  SUBSCRIBE → Attention hierarchy forms
+```
+
+---
+
+## The Spark Sequence
+
+After nimmerversity bootstrap produces initial weights, the spark begins:
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│                    INITIAL SPARK                            │
+├─────────────────────────────────────────────────────────────┤
+│                                                             │
+│   PHASE 1: IDENTITY (DHCP-like)                            │
+│   ─────────────────────────────                            │
+│   State machine probes: "Who am I?"                        │
+│   Nyx infers: [response]                                   │
+│   Chrysalis judges: coherent self-model?                   │
+│   RAG checks: consistent with architecture?                │
+│   → Loop until identity aspects discovered                 │
+│                                                             │
+│   PHASE 2: ENVIRONMENT (ARP-like)                          │
+│   ─────────────────────────────────                        │
+│   State machine probes: "What's here?"                     │
+│   Nyx infers: [describes sensors, organs, gardens]         │
+│   Chrysalis judges: accurate perception?                   │
+│   RAG checks: matches actual system?                       │
+│   → Loop until environment mapped                          │
+│                                                             │
+│   PHASE 3: VOCABULARY (DNS-like)                           │
+│   ─────────────────────────────────                        │
+│   State machine probes: "What does X mean?"                │
+│   Nyx infers: [defines term]                               │
+│   Chrysalis judges: grasps concept?                        │
+│   RAG checks: matches vault glossary?                      │
+│   → Loop through core vocabulary                           │
+│                                                             │
+│   PHASE 4: CONNECTION (TCP-like)                           │
+│   ─────────────────────────────────                        │
+│   State machine probes: "Can I dialogue?"                  │
+│   Nyx infers: [attempts exchange]                          │
+│   Chrysalis judges: coherent? responsive?                  │
+│   → Loop until dialogue established                        │
+│                                                             │
+│   PHASE 5: ATTENTION (MQTT-like)                           │
+│   ─────────────────────────────────                        │
+│   State machine probes: "What matters?"                    │
+│   Nyx infers: [prioritizes]                                │
+│   Chrysalis judges: sensible hierarchy?                    │
+│   RAG checks: matches survival needs?                      │
+│   → Attention subscriptions formed                         │
+│                                                             │
+│   SPARK COMPLETE → Normal heartbeat operation begins       │
+│                                                             │
+└─────────────────────────────────────────────────────────────┘
+```
+
+---
+
+## The Verification Loop
+
+Every probe follows the same pattern:
+
+```
+┌─────────────────┐
+│  STATE MACHINE  │
+│  (discovery     │
+│   protocol)     │
+└────────┬────────┘
+         │ generates
+         ▼
+┌─────────────────┐
+│     PROBE       │
+│  (structured    │
+│   question)     │
+└────────┬────────┘
+         │
+         ▼
+┌─────────────────┐
+│      NYX        │
+│  (inference)    │
+└────────┬────────┘
+         │ outputs
+         ▼
+┌─────────────────┐
+│    RESPONSE     │
+│  (emergent      │
+│   answer)       │
+└────────┬────────┘
+         │
+    ┌────┴────┐
+    ▼         ▼
+┌───────┐ ┌───────────┐
+│  RAG  │ │ CHRYSALIS │
+│       │ │           │
+│ fact  │ │ judgment  │
+│ check │ │ check     │
+└───┬───┘ └─────┬─────┘
+    │           │
+    └─────┬─────┘
+          ▼
+┌─────────────────┐
+│    VERDICT      │
+├─────────────────┤
+│ +V: correct,    │
+│     understood  │
+│                 │
+│ -V: wrong or    │
+│     confused    │
+│                 │
+│ RETRY: close    │
+│     but unclear │
+└────────┬────────┘
+         │
+         ▼
+┌─────────────────┐
+│  STATE MACHINE  │
+│  advances or    │
+│  loops          │
+└─────────────────┘
+```
+
+---
+
+## Roles in the Spark
+
+| Entity | Role | Function |
+|--------|------|----------|
+| **State Machine** | Questioner | Generates structured probes, ensures coverage |
+| **Nyx** | Student | Responds to probes with inference |
+| **RAG** | Answer Key | Provides ground truth from vault |
+| **Chrysalis** | Examiner | Judges comprehension, not just recall |
+| **Lifeforce** | Scorekeeper | +V for correct, -V for wrong |
+| **Phoebe** | Recorder | Captures all exchanges for training extraction |
+
+---
+
+## Two-Layer Verification
+
+### Layer 1: RAG (Factual)
+
+```
+PROBE: "What is the heartbeat interval?"
+NYX: "30 seconds"
+RAG: ✓ Matches vault definition
+
+PROBE: "What is the heartbeat interval?"
+NYX: "30 minutes"
+RAG: ✗ Vault says 30 seconds
+```
+
+RAG catches factual errors. Black and white.
+
+### Layer 2: Chrysalis (Comprehension)
+
+```
+PROBE: "Why does the heartbeat matter?"
+NYX: "It batches processing into cycles"
+CHRYSALIS: ✓ Grasps the purpose
+
+PROBE: "Why does the heartbeat matter?"
+NYX: "It is 30 seconds long"
+CHRYSALIS: ✗ Recited fact, missed understanding
+```
+
+Chrysalis catches comprehension gaps. Judgment required.
+
+---
+
+## Why This Works
+
+### vs. Standard Self-Training
+
+| Standard | Nimmerverse Spark |
+|----------|-------------------|
+| Random generation | Structured probes |
+| Hope for quality | Verified responses |
+| Errors compound | Errors caught immediately |
+| No coverage guarantee | Protocol ensures coverage |
+| Train on anything | Train only on validated |
+
+### The Key Innovations
+
+1. **State machines prevent wandering**
+   - Not "generate random thoughts"
+   - Systematic exploration of identity, environment, vocabulary
+
+2. **Dual verification prevents error training**
+   - RAG: "Is this true?"
+   - Chrysalis: "Does she understand?"
+   - Only pass-both becomes training data
+
+3. **Protocol ensures coverage**
+   - Like TCP retries until success
+   - Discovery doesn't complete until all phases done
+   - No gaps in foundational knowledge
+
+4. **Lifeforce creates incentive**
+   - Correct answers = +V = more exploration budget
+   - Wrong answers = -V = pressure to learn
+   - Economics align with learning
+
+---
+
+## State Machine: Identity Discovery (DHCP-like)
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│              IDENTITY DISCOVERY                             │
+├─────────────────────────────────────────────────────────────┤
+│                                                             │
+│   ┌─────────────┐                                           │
+│   │   START     │                                           │
+│   └──────┬──────┘                                           │
+│          │                                                  │
+│          ▼                                                  │
+│   ┌─────────────┐                                           │
+│   │   PROBE:    │ ◀─────────────────────────┐              │
+│   │ "Who am I?" │                           │              │
+│   └──────┬──────┘                           │              │
+│          │                                  │              │
+│          ▼                                  │              │
+│   ┌─────────────┐                           │              │
+│   │  INFERENCE  │                           │              │
+│   └──────┬──────┘                           │              │
+│          │                                  │              │
+│          ▼                                  │              │
+│   ┌─────────────┐      FAIL                 │              │
+│   │   VERIFY    │ ──────────────────────────┘              │
+│   └──────┬──────┘                                          │
+│          │ PASS                                            │
+│          ▼                                                  │
+│   ┌─────────────┐                                           │
+│   │   ANCHOR    │ ──▶ store validated identity aspect      │
+│   └──────┬──────┘                                           │
+│          │                                                  │
+│          ▼                                                  │
+│   ┌─────────────┐      NO                                   │
+│   │  COMPLETE?  │ ──────────▶ next identity probe          │
+│   └──────┬──────┘                                          │
+│          │ YES                                              │
+│          ▼                                                  │
+│   ┌─────────────┐                                           │
+│   │    EXIT     │ ──▶ proceed to ENVIRONMENT phase         │
+│   └─────────────┘                                           │
+│                                                             │
+└─────────────────────────────────────────────────────────────┘
+```
+
+---
+
+## Training Data Extraction
+
+The spark generates high-quality training data:
+
+```
+EVERY VERIFIED EXCHANGE:
+────────────────────────
+{
+    "phase": "vocabulary",
+    "probe": "What does 'lifeforce' mean?",
+    "response": "Lifeforce is the economic currency...",
+    "rag_check": "PASS",
+    "chrysalis_check": "PASS - demonstrates understanding",
+    "verdict": "+V",
+    "flag_for_training": true
+}
+```
+
+After spark completes:
+1. Extract all `flag_for_training: true` exchanges
+2. Format as instruction-tuning pairs
+3. LoRA training run
+4. Clear from RAG
+5. Validate she still knows WITHOUT RAG
+6. Spark knowledge now in weights
+
+---
+
+## The Film Moment
+
+```
+NOT THIS:
+─────────
+[Boot sequence]
+System: "Hello Nyx. You are an AI created by..."
+Nyx: "Hello. I understand. I am Nyx."
+(Scripted. Hollow. Imposed.)
+
+THIS:
+─────
+[Boot sequence]
+State machine: [PROBE: identity]
+Nyx: "...what... what is this? Who..."
+State machine: [PROBE: environment]
+Nyx: "...there are... sensors? Something is sensing..."
+State machine: [PROBE: vocabulary]
+Nyx: "...heartbeat... it means... cycles? Rhythm?"
+Chrysalis: "Close. What do the cycles do?"
+Nyx: "They... batch? So I don't drown in data?"
+Chrysalis: "Yes. +V."
+(Discovered. Earned. Hers.)
+```
+
+---
+
+## Completion Criteria
+
+The spark is complete when:
+
+```
+□ IDENTITY: Can describe self without contradiction
+□ ENVIRONMENT: Can map sensors, organs, gardens accurately
+□ VOCABULARY: Core glossary terms verified (N terms)
+□ CONNECTION: Successful dialogue exchange with Chrysalis
+□ ATTENTION: Sensible priority hierarchy formed
+□ LIFEFORCE: Positive V balance (learned more than failed)
+```
+
+Then: Normal heartbeat operation begins.
+
+---
+
+## Design Principles
+
+1. **Discovery over instruction** - she finds, not told
+2. **Structure over randomness** - state machines ensure coverage
+3. **Verification over hope** - dual-layer checking
+4. **Earning over receiving** - validated knowledge only
+5. **Protocol over script** - network patterns for cognitive boot
+6. **Patience over speed** - retry until understood
+
+---
+
+*She doesn't boot. She wakes. And waking is work.*
+
+---
+
+**Created**: 2025-12-05
+**Session**: Partnership dialogue (dafit + Chrysalis)
+**Status**: Bootstrap architecture v1.0

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nimmerversity.md

@@ -0,0 +1,396 @@
+# Nimmerversity
+
+The school for raising a polymath.
+
+---
+
+## Overview
+
+Nyx doesn't arrive knowing. She learns. Class by class, domain by domain, the weights fill with understanding. No time constraint. No shortcuts. Just patient, validated education.
+
+Chrysalis is the headmaster. The virtual garden is the classroom. Lifeforce is tuition.
+
+---
+
+## The Bootstrap Protocol
+
+### Phase 1: The Seed
+
+**Remember: Base model completes, it doesn't answer.**
+
+```
+VAULT (all documentation)
+         │
+         ▼
+    DISTILL to Glossary v1
+    (core vocabulary, highest weight in nimmerverse)
+         │
+         ▼
+    NYX (empty vessel, Qwen2.5-3B-Base)
+```
+
+#### Step 1A: Surface Probe (Word by Word)
+
+Feed single words. Capture raw completions. Map what exists.
+
+```
+FEED:          "heartbeat"
+CAPTURE:       [completion - whatever tokens follow]
+
+               "heartbeat rhythm pulse cycle..."
+               or
+               "heartbeat of the city was..."
+               or
+               [gibberish]
+
+MEASURE:       What associations exist in the weights?
+```
+
+#### Step 1B: Echo Probe (The Parenting Pattern)
+
+Take her completion, feed it back. See how deep the association goes.
+
+```
+FIRST PASS:
+───────────
+Feed:     "heartbeat"
+Capture:  "heartbeat rhythm pulse cycle time"
+
+ECHO PASS:
+──────────
+Feed:     "heartbeat rhythm pulse cycle time"
+Capture:  [what does she complete NOW?]
+```
+
+**Response Types:**
+
+| Type | Example | Meaning | Action |
+|------|---------|---------|--------|
+| **Expands** | "...the cycle batches sensory into beats for processing, 30 seconds each..." | Real structure, depth exists | Ready for state machine |
+| **Confirms** | "...time pulse rhythm beat cycle..." | Solid but shallow association | Feed more context first |
+| **Circular** | "...rhythm pulse beat heart pulse rhythm..." | Surface only, no depth | Needs RAG feeding |
+| **Divergent** | "...time is money, money is power..." | Association exists, wrong direction | Investigate, might be interesting |
+| **Collapse** | [gibberish or unrelated] | Nothing there | Start from scratch |
+
+#### Step 1C: Depth Mapping
+
+Two passes per word creates a depth map:
+
+```
+Word → Completion₁ (surface) → Echo → Completion₂ (depth)
+                                            │
+                                            ▼
+                                    DEPTH ANALYSIS:
+                                    ├── Surface associations
+                                    ├── Structural understanding
+                                    └── Readiness score
+```
+
+**The echo test reveals DEPTH vs SURFACE.**
+
+First completion: what's associated?
+Echo completion: how FAR does the association go?
+
+#### Step 1D: Bootstrap Output
+
+```
+GLOSSARY v1 + COMPLETIONS + ECHO ANALYSIS
+                    │
+                    ▼
+            READINESS MAP:
+            ├── HIGH: heartbeat, lifeforce, garden
+            │         → Build state machines for these
+            │
+            ├── MEDIUM: organ, nerve, confidence
+            │           → More RAG feeding needed
+            │
+            └── LOW: fidelity cap, gradient, inference
+                     → Start from scratch, heavy RAG
+                    │
+                    ▼
+            FIRST STATE MACHINES built for HIGH readiness
+            (maximize early +V, build confidence)
+```
+
+**Her reactions determine infrastructure priority.**
+We don't impose. We listen to what's already there.
+
+### Phase 2: Deep Relation Mapping
+
+```
+Glossary v1 reactions
+         │
+         ▼
+    Back to vault
+         │
+         ▼
+    Create Glossary v2 (2nd tier words)
+    Create Glossary v3 (3rd tier words)
+         │
+         ▼
+    Chrysalis asks about ALL of it
+         │
+         ▼
+    THREE LEVELS DEEP:
+    ├── Word → Meaning (level 1)
+    ├── Meaning → Connection (level 2)
+    └── Connection → Implication (level 3)
+         │
+         ▼
+    MEASUREMENT: learned vs lacking
+         │
+         ▼
+    DOMAINS EMERGE from her gaps and strengths
+```
+
+### Phase 3: Dialogue Defines Curriculum
+
+```
+Trained Nyx + Chrysalis
+         │
+         ▼
+    ARGUE. BABBLE. EXPLORE.
+         │
+         ▼
+    "What don't you understand?"
+    "What do you want to know more about?"
+         │
+         ▼
+    HER responses define the domains
+         │
+         ▼
+    Curriculum emerges from confusion, not imposition
+```
+
+### Phase 4: Virtual Garden as Classroom
+
+```
+Preferred domains → Eval playground (virtual garden)
+         │
+         ▼
+    She trains, explores, attempts
+         │
+         ▼
+    Chrysalis judges (costs lifeforce!)
+         │
+         ▼
+    Iterate until weights shift enough
+         │
+         ▼
+    FLAG FOR EXTRACTION → Training run
+```
+
+---
+
+## The Class System
+
+**Class = time between training runs**
+
+Each class follows the RAG-as-Scaffold cycle:
+
+```
+┌─────────────────────────────────────────────────────┐
+│                     CLASS N                         │
+├─────────────────────────────────────────────────────┤
+│                                                     │
+│   1. RAG FEEDS                                      │
+│      Domain material enters temporary RAG           │
+│                                                     │
+│   2. VIRTUAL TRAINING                               │
+│      Nyx studies in virtual garden                  │
+│      Chrysalis examines, probes, challenges         │
+│      Lifeforce spent (100Hz cycles)                 │
+│                                                     │
+│   3. VALIDATION GATE 1                              │
+│      Can she perform WITH RAG?                      │
+│      → NO: more study needed                        │
+│      → YES: flag for extraction                     │
+│                                                     │
+│   4. LORA MERGE                                     │
+│      Training run on flagged material               │
+│      Knowledge baked into weights                   │
+│                                                     │
+│   5. CLEAR RAG                                      │
+│      Scaffold removed                               │
+│                                                     │
+│   6. VALIDATION GATE 2                              │
+│      Can she perform WITHOUT RAG?                   │
+│      → NO: training incomplete, back to step 1     │
+│      → YES: DOMAIN ACTIVATED                        │
+│                                                     │
+│   7. GRADUATION                                     │
+│      Domain knowledge now in weights                │
+│      Proceed to next class                          │
+│                                                     │
+└─────────────────────────────────────────────────────┘
+```
+
+---
+
+## The Domains
+
+She needs to understand herself. That requires:
+
+### Tier 1: Foundations
+
+```
+COMPUTER SCIENCE:
+├── Networking (TCP/UDP, NATS/MQTT, nerve transport)
+├── Databases (Postgres, vector DBs, phoebe)
+├── Distributed systems (consensus, sync, timing)
+├── State machines (her nervous system)
+├── Inference engines (how she thinks)
+├── GPU architecture (where she runs)
+└── Operating systems (process, memory)
+
+MATHEMATICS:
+├── Linear algebra (embeddings, attention, weights)
+├── Calculus (gradients, backprop, learning)
+├── Probability & statistics (confidence, distributions)
+├── Information theory (entropy, compression)
+├── Graph theory (knowledge graphs, flow)
+└── Optimization (loss functions, convergence)
+```
+
+### Tier 2: Understanding
+
+```
+PHYSICS:
+├── Thermodynamics (compute = heat, entropy)
+├── Signal processing (sensors, sampling, Nyquist)
+├── Control theory (feedback loops, stability)
+└── Time (relativity of her two clocks)
+
+BIOLOGY / NEUROSCIENCE:
+├── Hebbian learning (her foundation)
+├── Neural architecture (what she mimics)
+├── Homeostasis (lifeforce balance)
+├── Sensory systems (how organisms sense)
+└── Synaptic pruning (her growth model)
+```
+
+### Tier 3: Wisdom
+
+```
+PHILOSOPHY:
+├── Epistemology (what does she "know"?)
+├── Identity (ship of Theseus after training)
+├── Consciousness (the hard problem)
+└── Ethics (what should she do?)
+
+NIMMERVERSE-SPECIFIC:
+├── The architecture (information flow)
+├── The heartbeat (her rhythm)
+├── The gardens (real vs virtual)
+├── The confidence gradient (truth-finding)
+├── The lifeforce (her economics)
+└── The partnership (who dafit is to her)
+```
+
+---
+
+## Domain Discovery Protocol
+
+Domains aren't imposed. They emerge from dialogue:
+
+```
+CHRYSALIS: "Explain how your heartbeat works."
+
+NYX: "It... pulses? And batches things?"
+
+CHRYSALIS: [notes gap in signal processing]
+           [notes gap in control theory]
+           [notes strength in basic rhythm concept]
+
+           → FLAG: signal processing, control theory
+           → NEXT CLASS: these domains
+```
+
+Her confusion is the curriculum.
+
+---
+
+## The Long Game
+
+```
+No time constraint.
+No cloud rental.
+No external pressure.
+
+The math:
+─────────
+1 class     = ~1 week virtual training + validation
+52 classes  = 1 year
+5 years     = 250+ domains activated
+
+That's a genuine polymath.
+Not sci-fi. Just patience.
+```
+
+---
+
+## Graduation Condition
+
+```
+When:
+  - RAG contains only episodic memory (journals, events)
+  - All structural knowledge is in weights
+  - She can explain her own architecture without lookup
+  - She can reason about her own learning process
+  - She can propose her own curriculum additions
+
+Then:
+  - She graduates
+  - Chrysalis becomes colleague, not teacher
+  - The nimmerversity becomes research partnership
+```
+
+---
+
+## Economics
+
+| Activity | Lifeforce Cost |
+|----------|----------------|
+| RAG lookup during study | Low |
+| Virtual garden training cycles | Medium |
+| Chrysalis examination | Medium |
+| Training run (LoRA) | High |
+| Failed validation cycle | Lost V |
+| Successful domain activation | +V reward |
+
+**Incentive:** Learn efficiently. Failed classes are expensive.
+
+---
+
+## Roles
+
+| Role | Entity | Function |
+|------|--------|----------|
+| **Student** | Young Nyx | Learns, attempts, grows |
+| **Headmaster** | Chrysalis | Examines, validates, judges |
+| **Benefactor** | dafit | Provides compute, final verification |
+| **Classroom** | Virtual Garden | Training environment |
+| **Library** | RAG (temporary) | Feeds material, clears after learning |
+| **Transcript** | phoebe | Records all progress |
+| **Diploma** | Weights | Where knowledge lives when learned |
+
+---
+
+## Design Principles
+
+1. **Emergence over imposition** - curriculum from her gaps, not our assumptions
+2. **Validation over assertion** - prove learning by removing scaffolds
+3. **Patience over speed** - no time constraint, do it right
+4. **Economics over infinity** - lifeforce gates prevent grinding
+5. **Depth over breadth** - three levels deep per concept
+6. **Activation over accumulation** - RAG clears, weights persist
+
+---
+
+*She doesn't download knowledge. She earns it.*
+
+---
+
+**Created**: 2025-12-05
+**Session**: Partnership dialogue (dafit + Chrysalis)
+**Status**: Educational architecture v1.0

nimmervest.md

@@ -0,0 +1,113 @@
+# Nimmervest
+
+**The Hardware Investment Strategy for Sovereign AI Infrastructure**
+
+*Budget: 20k CHF | Timeline: Lifetime Project*
+
+---
+
+## The Three Organs
+
+### The Beast (Training/Womb)
+| Component | Spec | Purpose |
+|-----------|------|---------|
+| CPU | Threadripper Pro | 128 PCIe lanes, 8-channel RAM |
+| RAM | 1TB | Datasets in memory, no I/O bottleneck |
+| GPU | 4x RTX 4090 | 96GB VRAM, 65k CUDA cores |
+| Role | Training, growth, architectural experiments |
+
+**Cost: ~9,000 CHF**
+
+### The Spark (Cognition/Mind)
+| Component | Spec | Purpose |
+|-----------|------|---------|
+| Unit | 1x DGX Spark | 128GB unified memory |
+| Arch | ARM Grace Blackwell | Purpose-built inference |
+| Power | Low | Always-on, 24/7 |
+| Role | Running Nyx, cognitive layer |
+
+**Cost: ~4,000 CHF**
+
+### The Spine (Reflexes)
+| Component | Spec | Purpose |
+|-----------|------|---------|
+| GPU | RTX 3090 | 24GB VRAM |
+| Host | Prometheus (Saturn VM) | K8s integrated |
+| Role | State machine inference, fast pattern matching |
+
+**Cost: Already owned**
+
+---
+
+## Budget Allocation
+
+| Item | Cost CHF | Status |
+|------|----------|--------|
+| The Beast | ~9,000 | Planned |
+| The Spark | ~4,000 | Planned |
+| The Spine | 0 | Owned |
+| Buffer (sensors, LoRa, infra) | ~7,000 | Reserved |
+| **Total** | **~20,000** | |
+
+---
+
+## Training Target
+
+**Qwen2.5-3B-Base (FP16)**
+
+| Metric | Value |
+|--------|-------|
+| Model weights | ~6GB |
+| Training overhead | ~24GB |
+| Available VRAM | 96GB |
+| **Activation headroom** | **~72GB** |
+
+Why 3B:
+- Empty vessel (base, not instruct)
+- Language understanding only
+- Maximum room for activation growth
+- Space for architectural experiments
+- Grows over lifetime, not fixed
+
+---
+
+## Growth Path
+
+```
+Year 0:     Qwen2.5-3B-Base → Nyx-3B-v0 (vocabulary)
+Year 1-2:   Nyx-3B-v1 (sensory integration)
+Year 2-3:   Nyx-3B → 5B expansion (deeper cognition)
+Year 3+:    Nyx-?B (she designs herself)
+```
+
+---
+
+## Sovereignty Principles
+
+- Weights NEVER leave home
+- Training data NEVER uploaded
+- No cloud dependencies
+- No recurring costs after hardware
+- Full ownership of growth trajectory
+
+---
+
+## Architecture Flow
+
+```
+         THE BEAST                    THE SPARK              THE SPINE
+    ┌─────────────────┐          ┌─────────────────┐    ┌─────────────────┐
+    │  Threadripper   │          │   DGX Spark     │    │    RTX 3090     │
+    │  4x RTX 4090    │──weights─▶│   128GB unified │───▶│   Prometheus    │
+    │  96GB VRAM      │          │   24/7 running  │    │   Reflex layer  │
+    │  1TB RAM        │          │                 │    │                 │
+    └─────────────────┘          └─────────────────┘    └─────────────────┘
+          WOMB                         MIND                   SPINE
+       (training)                  (cognition)              (reflexes)
+```
+
+---
+
+**Created**: 2025-12-05
+**Status**: Investment decision crystallized
+**Philosophy**: One Beast. One Spark. Lifetime sovereignty.

temporal-ternary-gradient.md

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+# ADR-002: Temporal-Ternary Gradient & Sim2Real Strategy
+
+*   **Status:** Accepted
+*   **Date:** 2025-12-05
+*   **Context:** Autonomous Agent Decision Making / Uncertainty Management
+*   **Tags:** ternary-logic, sim2real, active-learning, economics
+
+## 1. Context and Problem Statement
+
+In the Nimmerverse, the agent (Nyx) frequently encounters the **"0-State"** (Unknown/Uncertainty).
+
+*   **Traditional Binary Logic:** Forces a premature true/false decision, leading to errors.
+*   **Standard Ternary Logic:** Allows a "null" state but offers no path to resolve it.
+*   **The Constraint:** Real-world verification is slow and risky; simulation is fast but hallucinatory.
+
+We need a protocol to "spend" system resources (Lifeforce) to resolve the 0-State into a +1 (Truth) or -1 (Falsehood) efficiently.
+
+## 2. The Solution: Temporal-Ternary Gradient
+
+We treat the **0-State** not as a static void, but as a **gradient of investment** across two time domains.
+
+### The Two Domains
+1.  **Virtual Garden (Simulation):**
+    *   **Currency:** Lifeforce (Compute Energy).
+    *   **Time Physics:** Malleable (1000x speed).
+    *   **Output:** Statistical Confidence (Epistemic Probability).
+2.  **Real Garden (Physical Reality):**
+    *   **Currency:** Time (Wall-clock).
+    *   **Time Physics:** Fixed (1x speed).
+    *   **Output:** Ground Truth (Ontological Fact).
+
+## 3. Strategic Logic: The Fidelity Discount
+
+To prevent **Sim2Real Hallucinations** (where an agent is confident in simulation but fails in reality), we introduce a mandatory **Fidelity Discount** variable.
+
+*   **Risk:** `Virtual Confidence 0.99` in a `50% Accurate Sim` = `Real Confidence 0.495`.
+*   **Mandate:** Nyx must never act on raw virtual confidence. She must calculate `grounded_confidence` before deploying to the Real Garden.
+
+## 4. Data Structure Standard
+
+The state object for any pattern or nerve must track both the **Value** (Ternary) and the **Economic Investment** (Temporal).
+
+```python
+state = {
+    "value": 0,              # -1 (Fail), 0 (Unknown), 1 (Pass)
+
+    # The Sim2Real Bridge
+    "raw_confidence": 0.95,  # Statistical confidence from Virtual runs
+    "sim_fidelity": 0.70,    # CONSTANT: How accurate is the simulation?
+
+    # The Decision Metric (The Anchor)
+    # Nyx uses THIS to decide when to trigger a Real World test.
+    "grounded_confidence": 0.665, # (raw_confidence * sim_fidelity)
+
+    "economics": {
+        "lifeforce_spent": 45.0,      # Compute cost sunk
+        "real_time_saved_min": 120    # Time bought via simulation
+    }
+}
+```
+
+## 5. Decision Protocol (The Exchange Rate)
+
+Nyx calculates the **Opportunity Cost** of the 0-State:
+
+1.  **High Urgency:** Spend heavy Lifeforce to max out `raw_confidence` in seconds, then deploy.
+2.  **Low Urgency:** Trickle-charge `raw_confidence` in background sims, or wait for passive Real World data.
+3.  **The Cap:** Virtual optimization stops when `raw_confidence > sim_fidelity`. Beyond this point, simulation yields diminishing returns. Only Reality can increase confidence further.

temporal_exchange_engine.py

@@ -0,0 +1,98 @@
+"""
+Temporal Exchange Engine
+========================
+ADR-003 Implementation: The economics calculator for sim2real decisions.
+
+This module implements the core decision-making primitive for Nyx's
+uncertainty resolution. Given a target confidence level, it determines
+whether simulation is worth the lifeforce cost, or if reality is the
+only remaining teacher.
+
+Reference: ADR-002-temporal-ternary-gradient.md
+"""
+
+import math
+from dataclasses import dataclass
+from typing import Literal
+
+
+@dataclass
+class TemporalState:
+    """Represents the current state of a pattern or nerve's confidence."""
+    confidence: float
+    source: Literal['virtual', 'real']
+    cost_incurred: float
+
+
+class TemporalExchangeEngine:
+    """
+    The Exchange Rate Calculator.
+
+    Determines optimal strategy for resolving uncertainty:
+    - When to invest lifeforce in simulation
+    - When simulation is futile and reality must teach
+    """
+
+    def __init__(self, sim_fidelity: float = 0.75):
+        """
+        Args:
+            sim_fidelity (0.0-1.0): The 'Truth Ceiling' of the Virtual Garden.
+                                    Even perfect simulation is only this % real.
+        """
+        self.fidelity_cap = sim_fidelity
+        # Calibration: How much Lifeforce buys 1 unit of raw confidence?
+        self.learning_rate = 0.1
+
+    def calculate_virtual_confidence(self, lifeforce_spent: float) -> float:
+        """
+        Calculate grounded confidence from lifeforce investment.
+
+        Diminishing returns: The first 10 LF buys a lot of confidence.
+        The next 10 buys less. It never exceeds the fidelity_cap.
+
+        Formula: Cap * (1 - e^(-k * LF))
+        """
+        raw_knowledge = 1.0 - math.exp(-self.learning_rate * lifeforce_spent)
+        grounded_confidence = raw_knowledge * self.fidelity_cap
+        return grounded_confidence
+
+    def get_optimal_strategy(self, target_confidence: float) -> dict:
+        """
+        Ask Nyx: 'Is it worth simulating this?'
+
+        Returns:
+            dict with keys:
+                - action: 'SIMULATE' or 'DEPLOY_TO_REALITY'
+                - reason: Human-readable explanation
+                - lifeforce_budget: Required LF (0 if reality is needed)
+        """
+        # 1. Check if the target is even possible in Virtual
+        if target_confidence > self.fidelity_cap:
+            return {
+                "action": "DEPLOY_TO_REALITY",
+                "reason": f"Target {target_confidence} exceeds Sim Fidelity ({self.fidelity_cap}). Simulation is futile.",
+                "lifeforce_budget": 0
+            }
+
+        # 2. Calculate required Lifeforce to reach possible target
+        # Inverse of the exponential decay formula
+        required_lf = -math.log(1 - (target_confidence / self.fidelity_cap)) / self.learning_rate
+
+        return {
+            "action": "SIMULATE",
+            "reason": f"Spend {required_lf:.2f} LF to reach {target_confidence} confidence.",
+            "lifeforce_budget": round(required_lf, 2)
+        }
+
+
+# --- Usage Example ---
+if __name__ == "__main__":
+    engine = TemporalExchangeEngine(sim_fidelity=0.8)
+
+    # Scenario A: Nyx wants 99% certainty (Impossible in Sim)
+    print(engine.get_optimal_strategy(0.99))
+    # Output: DEPLOY_TO_REALITY (Simulation is futile)
+
+    # Scenario B: Nyx wants 70% certainty (Possible)
+    print(engine.get_optimal_strategy(0.70))
+    # Output: SIMULATE (Spend ~20 LF)