25 lines
1.3 KiB
Markdown
25 lines
1.3 KiB
Markdown
# AI Ticket Platform
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AI-native technical support ticket system for single-enterprise private deployment.
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The product centers on support tickets and business knowledge, with configurable Agents, Skills, MCP tools, model gateway, vector retrieval, and enterprise audit controls.
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## Current Status
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Active implementation. The project has a runnable Django + React baseline with enterprise governance, shadcn-based frontend foundation, Docker Compose local startup, category-driven ticket workflows, reusable solution adoption for fast ticket closure, and a knowledge base and retrieval baseline.
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Key docs:
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- [Product design spec](docs/superpowers/specs/2026-06-30-ai-ticket-platform-design.md)
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- [Design discussion log](docs/communication/2026-06-30-ai-ticket-platform-discussion-log.md)
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- [Implementation roadmap](docs/superpowers/plans/2026-06-30-ai-ticket-platform-implementation-roadmap.md)
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- [Local setup](docs/development/local-setup.md)
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- [Frontend design system](docs/frontend/design-system.md)
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## Target Stack
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- Backend: Django, Django Ninja, PostgreSQL, pgvector, Redis, Celery, MinIO
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- Frontend: React, Vite, Tailwind CSS, shadcn/ui, Radix UI, TanStack Table
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- AI: OpenAI Python SDK-compatible provider adapter, model gateway, vector retrieval, MCP client
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- Deployment: Docker Compose first
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