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| title: Operon Signal Cascade | |
| emoji: "\u26A1" | |
| colorFrom: purple | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: "6.5.1" | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Multi-stage signal amplification pipeline with checkpoints | |
| # ⚡ Operon Signal Cascade | |
| Multi-stage signal processing with amplification and checkpoint gates -- like biological signal transduction cascades that amplify and relay messages between cells. | |
| ## What to Try | |
| 1. Open the **Text Pipeline** tab, type text into the input box (or pick a preset like "XSS attempt"), toggle checkpoint gates on/off, and click **Run Cascade** to see each stage transform the signal. | |
| 2. Switch to the **MAPK Cascade** tab, adjust the **Initial Signal** and per-tier **Amplification** sliders, and click **Run MAPK** to watch three-tier biological amplification (MAPKKK, MAPKK, MAPK). | |
| 3. Try disabling a checkpoint in the text pipeline to see how the cascade halts at that gate, blocking downstream stages. | |
| ## How It Works | |
| Each cascade stage transforms its input and passes the result forward with an amplification factor. Checkpoint gates can block progression at any point, preventing bad data from propagating -- modeled on the MAPK kinase cascade where each tier phosphorylates the next. | |
| ## Learn More | |
| [GitHub](https://github.com/coredipper/operon) | [PyPI](https://pypi.org/project/operon-ai/) | [Paper](https://github.com/coredipper/operon/tree/main/article) | |