docs: improve README with usage instructions
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README.md
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short_description: Ticket processing combining all 11 biological motifs
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# Operon Multi-Agent Orchestrator
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End-to-end
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##
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- **Quality gate**: Chaperone validation with feedback loop correction
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- **Presets**: Simple ticket, complex investigation, abusive input, memory reuse
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##
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InnateImmunity
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short_description: Ticket processing combining all 11 biological motifs
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# 🏭 Operon Multi-Agent Orchestrator
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End-to-end ticket processing combining all 11 biological motifs into a complete adaptive system -- security, budget, morphogen coordination, healing, and memory working together.
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## What to Try
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1. Select a preset from the **Preset** dropdown (e.g. "Simple ticket", "Complex investigation", or "Abusive input") and click **Process Ticket** to see all 11 motifs working together.
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2. Type your own support ticket text into the **Ticket** input and process it to see how the pipeline adapts -- security scanning, budget allocation, morphogen-guided processing, and quality validation.
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3. Try the "Memory reuse" preset to see how HistoneStore recalls successful repair strategies from previous runs to accelerate healing.
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## How It Works
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The orchestrator chains all major Operon components: InnateImmunity gates input, ATP_Store manages budget, MorphogenGradient guides pipeline behavior, RegenerativeSwarm handles task solving with apoptosis recovery, and Chaperone validates output with NegativeFeedbackLoop corrections. HistoneStore provides epigenetic memory across runs.
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## Learn More
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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)
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requirements.txt
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gradio>=4.0
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operon-ai>=0.
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gradio>=4.0
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operon-ai>=0.15.0
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