Citadel AI Assistant is a local-first AI project focused on practical automation, terminal workflows, debugging discipline, and controlled system operations.
This showcase repository is a portfolio-safe presentation of the broader Citadel project. It highlights the project’s guiding documents, operational mindset, and system design direction without exposing the full working monorepo and its internal runtime clutter.
- Local-first AI assistant development
- Terminal-driven workflows and operational support
- Practical debugging and issue isolation
- Stable, low-regression execution patterns
- Structured handoff and continuity for long-running technical projects
- Controlled feature development instead of reckless automation
This repository currently includes core Citadel reference documents:
docs/CANONICAL_MAP.mddocs/citadel_ai_master_directive_v_1.mddocs/citadel_v_1_completion.md
These documents reflect the project’s architecture direction, operating principles, and broader system intent.
This project demonstrates hands-on work in:
- AI workflow design
- local-first system thinking
- terminal-first operations
- debugging discipline
- project structure and continuity
- operational documentation
- controlled technical execution
Citadel is built around a few core ideas:
- inspect before changing
- prefer the smallest safe next step
- verify environment state before assuming
- isolate one issue at a time
- preserve working behavior where possible
- favor maintainable solutions over clever ones
This is a sanitized showcase repository, not the full working Citadel monorepo.
It is intended to present the project clearly for GitHub, hiring review, and portfolio use while keeping the live working environment separate.
Active local-first AI project focused on practical assistant workflows, technical support, debugging, and controlled system evolution.