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graph-based-learning

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SSWG aka Synthetic Synthesist of Workflow Generation, is a modular, recursive engine that builds, evaluates, and evolves structured instructional workflows. It combines template-driven generation, semantic evaluation, schema validation, and versioned memory to synthesize reproducible “how-to” processes for any domain —from creative to technical job

  • Updated Dec 7, 2025
  • Python

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