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docs: improve README with usage instructions

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  1. README.md +11 -10
  2. requirements.txt +1 -1
README.md CHANGED
@@ -11,19 +11,20 @@ license: mit
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  short_description: Escalating healing when stagnation is detected
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  ---
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- # Operon Epiplexity Healing Cascade
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- Detect epistemic stagnation via EpiplexityMonitor and escalate through increasingly aggressive healing interventions.
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- ## Features
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- - **Stagnation detection**: EpiplexityMonitor measures novelty and flags STAGNANT/CRITICAL
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- - **Escalating cascade**: autophagy -> regeneration -> abort
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- - **Diagnostic reports**: Full stagnation history with epiplexity scores
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- - **Presets**: Healthy agent, stagnant agent, critical with regeneration
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- ## Motifs Combined
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- EpiplexityMonitor + AutophagyDaemon + RegenerativeSwarm + Cascade
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- [GitHub](https://github.com/coredipper/operon) | [PyPI](https://pypi.org/project/operon-ai/)
 
 
 
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  short_description: Escalating healing when stagnation is detected
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  ---
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+ # 💡 Operon Epiplexity Healing Cascade
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+ Detect epistemic stagnation and escalate through increasingly aggressive healing -- autophagy, regeneration, and abort -- like an immune system ramping up its response when initial measures fail.
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+ ## What to Try
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+ 1. Select a preset from the **Preset** dropdown (e.g. "Stagnant agent" or "Critical with regeneration") and click **Run Cascade** to see how stagnation triggers escalating healing interventions.
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+ 2. Adjust the **Stagnation threshold** and **Autophagy threshold** sliders to change when each healing level kicks in, then re-run to compare outcomes.
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+ 3. Try the "Healthy agent" preset to confirm that a well-performing agent passes through without triggering any healing.
 
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+ ## How It Works
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+ The EpiplexityMonitor watches for declining novelty in agent output. When stagnation is detected, the cascade escalates: first autophagy prunes noisy context, then regeneration respawns the worker with clean state, and finally abort halts the pipeline if nothing else works.
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+ ## Learn More
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+
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+ [GitHub](https://github.com/coredipper/operon) | [PyPI](https://pypi.org/project/operon-ai/) | [Paper](https://github.com/coredipper/operon/tree/main/article)
requirements.txt CHANGED
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  gradio>=4.0
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- operon-ai>=0.14.0
 
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  gradio>=4.0
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+ operon-ai>=0.15.0