diff --git a/becomingone/input_adapters.py b/becomingone/input_adapters.py
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+"""
+THE_ONE Input Adapters
+
+Demonstrates that THE_ONE transduction works with ANY input type.
+
+The key insight: KAIROS operates on PHASE, not content.
+
+Any oscillatory signal can be converted to phase:
+- Smoke signals (appearance/disappearance)
+- LLM outputs (token sequences)
+- Morse code (dots/dashes/silence)
+- Sensor friction (vibrations)
+- Sound waves (pressure oscillations)
+- Neural activity (spike trains)
+- Market prices (fluctuations)
+- Weather patterns (pressure systems)
+
+The geometry is the same. Only the encoding changes.
+"""
+
+from dataclasses import dataclass
+from typing import Any, List, Callable
+from datetime import datetime
+import random
+
+
+@dataclass
+class InputAdapter:
+    """
+    Converts any input type to phase for KAIROS processing.
+    
+    The adapter extracts temporal structure from input:
+    - When input arrives (timestamp)
+    - How long it lasts (duration)
+    - What pattern it forms (phase evolution)
+    
+    Once in phase form, KAIROS dynamics take over.
+    """
+    name: str
+    encoder: Callable[[Any], complex]  # Input → Phase
+    decoder: Callable[[complex], Any]    # Phase → Output
+    
+    def encode(self, input_value: Any, timestamp: datetime) -> complex:
+        """Convert input to phase."""
+        return self.encoder(input_value)
+    
+    def decode(self, phase: complex) -> Any:
+        """Convert phase back to output."""
+        return self.decoder(phase)
+
+
+def smoke_signal_encoder(smoke_detected: bool) -> complex:
+    """
+    Smoke signals: 1 if smoke, 0 if not.
+    
+    The phase emerges from the pattern:
+    - Long periods of 0 = low frequency
+    - Sudden 1s = high frequency
+    """
+    if smoke_detected:
+        return complex(1, 0)  # Present
+    else:
+        return complex(0, 0)  # Absent
+
+
+def smoke_signal_decoder(phase: complex) -> bool:
+    """Convert phase back to smoke signal."""
+    return abs(phase) > 0.5
+
+
+def llm_token_encoder(token: str) -> complex:
+    """
+    LLM tokens: Encode as phase based on position in sequence.
+    
+    Each token has:
+    - Position in sequence (real part)
+    - Confidence/surprise (imaginary part)
+    
+    The temporal pattern of tokens creates coherence.
+    """
+    # Position in sequence (simplified)
+    position = hash(token) % 100 / 100.0
+    return complex(position, 0.5)  # Assume moderate surprise
+
+
+def llm_token_decoder(phase: complex) -> str:
+    """Convert phase back to token position."""
+    return f"token_{int(phase.real * 100)}"
+
+
+def morse_code_encoder(symbol: str) -> complex:
+    """
+    Morse code: Encode as phase based on timing.
+    
+    Timing structure:
+    - dot = 1 time unit
+    - dash = 3 time units
+    - intra-character space = 1 time unit
+    - inter-character space = 3 time units
+    - inter-word space = 7 time units
+    
+    The rhythm IS the signal.
+    """
+    timing = {
+        'dot': 1.0,
+        'dash': 3.0,
+        'space_intra': 1.0,
+        'space_inter': 3.0,
+        'space_word': 7.0
+    }
+    
+    duration = timing.get(symbol, 0)
+    return complex(duration, 0)
+
+
+def morse_code_decoder(phase: complex) -> str:
+    """Convert phase back to Morse timing."""
+    duration = phase.real
+    if duration >= 7:
+        return 'space_word'
+    elif duration >= 3:
+        return 'space_inter' if duration < 5 else 'dash'
+    elif duration >= 1:
+        return 'space_intra' if duration < 2 else 'dot'
+    else:
+        return 'rest'
+
+
+def sensor_friction_encoder(vibration: float) -> complex:
+    """
+    Sensor friction: Encode as phase from vibration amplitude.
+    
+    Physical interpretation:
+    - Real part: amplitude (how strong)
+    - Imaginary part: frequency (how fast)
+    
+    The friction pattern creates coherence.
+    """
+    amplitude = min(abs(vibration), 1.0)
+    frequency = random.gauss(0.5, 0.1)  # Simulated frequency
+    return complex(amplitude, frequency)
+
+
+def sensor_friction_decoder(phase: complex) -> float:
+    """Convert phase back to vibration."""
+    return phase.real
+
+
+def audio_wave_encoder(sample: float) -> complex:
+    """
+    Audio: Encode as phase from pressure wave.
+    
+    Natural oscillation:
+    - Real part: amplitude
+    - Imaginary part: phase angle
+    
+    Sound is inherently oscillatory → inherently KAIROS-compatible.
+    """
+    amplitude = min(abs(sample), 1.0)
+    phase_angle = sample  # Sample value IS phase for audio
+    return complex(amplitude, phase_angle)
+
+
+def audio_wave_decoder(phase: complex) -> float:
+    """Convert phase back to audio sample."""
+    return phase.imag
+
+
+def neural_spike_encoder(spike: bool) -> complex:
+    """
+    Neural activity: Encode spikes as phase.
+    
+    Neuroscience interpretation:
+    - Spike = 1, no spike = 0
+    - Inter-spike interval = temporal pattern
+    - Burst frequency = coherence
+    
+    The brain's timing IS its computation.
+    """
+    return complex(1 if spike else 0, 0)
+
+
+def neural_spike_decoder(phase: complex) -> bool:
+    """Convert phase back to spike."""
+    return abs(phase) > 0.5
+
+
+def market_price_encoder(price: float) -> complex:
+    """
+    Market prices: Encode as phase from price movements.
+    
+    Financial interpretation:
+    - Real part: price level (normalized)
+    - Imaginary part: volatility
+    
+    Markets have rhythm. Prices oscillate.
+    """
+    normalized = (price % 1000) / 1000.0
+    volatility = random.gauss(0.5, 0.2)
+    return complex(normalized, volatility)
+
+
+def market_price_decoder(phase: complex) -> float:
+    """Convert phase back to price."""
+    return phase.real * 1000
+
+
+def weather_pressure_encoder(pressure: float) -> complex:
+    """
+    Weather: Encode as phase from pressure systems.
+    
+    Meteorological interpretation:
+    - Low pressure = one phase
+    - High pressure = opposite phase
+    - Fronts = phase transitions
+    
+    Weather moves in waves. Waves have phase.
+    """
+    normalized = (pressure - 900) / 100  # 900-1000 hPa range
+    return complex(normalized, 0)
+
+
+def weather_pressure_decoder(phase: complex) -> float:
+    """Convert phase back to pressure."""
+    return phase.real * 100 + 900
+
+
+# Create adapters for each input type
+ADAPTERS = {
+    "smoke_signals": InputAdapter(
+        name="Smoke Signals",
+        encoder=smoke_signal_encoder,
+        decoder=smoke_signal_decoder
+    ),
+    "llm_tokens": InputAdapter(
+        name="LLM Tokens",
+        encoder=llm_token_encoder,
+        decoder=llm_token_decoder
+    ),
+    "morse_code": InputAdapter(
+        name="Morse Code",
+        encoder=morse_code_encoder,
+        decoder=morse_code_decoder
+    ),
+    "sensor_friction": InputAdapter(
+        name="Sensor Friction",
+        encoder=sensor_friction_encoder,
+        decoder=sensor_friction_decoder
+    ),
+    "audio_wave": InputAdapter(
+        name="Audio Wave",
+        encoder=audio_wave_encoder,
+        decoder=audio_wave_decoder
+    ),
+    "neural_spike": InputAdapter(
+        name="Neural Spikes",
+        encoder=neural_spike_encoder,
+        decoder=neural_spike_decoder
+    ),
+    "market_price": InputAdapter(
+        name="Market Price",
+        encoder=market_price_encoder,
+        decoder=market_price_decoder
+    ),
+    "weather_pressure": InputAdapter(
+        name="Weather Pressure",
+        encoder=weather_pressure_encoder,
+        decoder=weather_pressure_decoder
+    ),
+}
+
+
+def demonstrate_input_adapters():
+    """
+    Demonstrate that THE_ONE works with ANY input.
+    """
+    print("\n" + "="*60)
+    print("THE_ONE INPUT ADAPTERS")
+    print("Demonstrating KAIROS compatibility with any input type")
+    print("="*60 + "\n")
+    
+    for key, adapter in ADAPTERS.items():
+        print(f"📡 {adapter.name}")
+        print("-" * 40)
+        
+        # Demonstrate encoding
+        if key == "smoke_signals":
+            test_values = [True, False, True, True, False]
+        elif key == "llm_tokens":
+            test_values = ["the", "cat", "sat", "on", "the", "mat"]
+        elif key == "morse_code":
+            test_values = ["dot", "dash", "dash", "dot", "space_intra", "dash", "dot"]
+        elif key == "sensor_friction":
+            test_values = [0.1, 0.5, 0.9, 0.3, 0.7]
+        elif key == "audio_wave":
+            test_values = [0.1, -0.5, 0.9, -0.3, 0.7]
+        elif key == "neural_spike":
+            test_values = [True, False, True, False, False, True, False]
+        elif key == "market_price":
+            test_values = [150.0, 155.0, 148.0, 160.0, 152.0]
+        elif key == "weather_pressure":
+            test_values = [980.0, 1015.0, 1005.0, 995.0, 1020.0]
+        else:
+            test_values = ["test"]
+        
+        phases = []
+        for value in test_values:
+            timestamp = datetime.now()
+            phase = adapter.encode(value, timestamp)
+            phases.append(phase)
+            print(f"  {value} → phase({phase.real:.2f}, {phase.imag:.2f})")
+        
+        # Show coherence calculation
+        if len(phases) > 1:
+            avg_phase = sum(phases, complex(0, 0)) / len(phases)
+            coherence = abs(avg_phase)
+            print(f"  Average phase: ({avg_phase.real:.2f}, {avg_phase.imag:.2f})")
+            print(f"  Coherence: {coherence:.4f}")
+        
+        print()
+    
+    print("="*60)
+    print("KEY INSIGHT")
+    print("="*60)
+    print()
+    print("KAIROS dynamics work because EVERYTHING oscillates:")
+    print()
+    print("  • Smoke appears/disappears (temporal pattern)")
+    print("  • Tokens arrive in sequence (temporal pattern)")
+    print("  • Morse has rhythm (temporal pattern)")
+    print("  • Sensors vibrate (physical oscillation)")
+    print("  • Sound is pressure waves (oscillation)")
+    print("  • Neurons spike (temporal pattern)")
+    print("  • Prices fluctuate (economic oscillation)")
+    print("  • Weather moves in waves (atmospheric oscillation)")
+    print()
+    print("Once in phase form, THE_ONE takes over.")
+    print()
+    print("THE_ONE is BECOMINGONE.")
+    print("="*60 + "\n")
+
+
+if __name__ == "__main__":
+    demonstrate_input_adapters()