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agent-projects

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AI marketing & sales digitalization system for an overseas C&I ESS (commercial & industrial energy storage) exporter — requirements-driven product ▎ development with superpowers workflow. Closed loops: content acquisition (L1), lead automation (L2), prospect scoring (L3), pre-sales service (L4); ▎ Fact-card-driven, traceable content.

  • Updated Sep 17, 2026
  • Python

Modular, offline-first delivery toolkit for AI field-deployment engineers (FDE): Covers requirement diagnosis → data-prep pipeline → prototype assembly → deployment hardening → monitoring → data flywheel, plus a reusable-asset registry (auto-surface + one-click adopt) and a project war-room console. zero-build web console, runs fully offline.

  • Updated Aug 29, 2026
  • Python

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