I’m an AI Engineer focused on agent operations, knowledge operations, and automation reliability.
I build automation systems and LLM/agent workflows that are not only functional, but also operable, monitorable, and maintainable in real-world environments. My specialty is tying tools, workflows, and repositories together into automation that doesn’t break.
End-to-end view of the operations pipeline for a personal LLM Wiki. Visualizes the data flow from a Task Scheduler-triggered orchestrator, through the intake / governance / graphify flows, down to the operations cockpit.
Live demo: https://curiosity-wiki-ops.vercel.app
- 8-agent sensitivity-optimized pipeline (Phase 5)
- Concept normalization + alias resolution via a canonical layer (Phase 6)
- Automated intake 4x/day + weekly governance + daily meta supervision
- Multi-source search chain across Grok 4 / Perplexity / xAI API
- Multi-model orchestration with GLM-5 × Claude Code × Codex
The main repository is private. Only the visualization HTML is carved out into a standalone deploy repository and published via Vercel.
- curiosity-wiki — track-aware research and knowledge operations system for AI-agent-friendly workflows
Demo: https://curiosity-wiki-ops.vercel.app - openclaw-claude-bridge — bridge-oriented orchestration for multi-agent execution and operational routing
Repo: https://github.com/Tenormusica2024/openclaw-claude-bridge - vault-d — metadata normalization and knowledge structure design for durable AI workflows
Repo: https://github.com/Tenormusica2024/vault-d
- curiosity-wiki Operations Flow (live demo)
https://curiosity-wiki-ops.vercel.app - openclaw-claude-bridge
https://github.com/Tenormusica2024/openclaw-claude-bridge - vault-d
https://github.com/Tenormusica2024/vault-d - Portfolio — personal portfolio site showcasing selected projects, AI workflow work, and implementation context
https://github.com/Tenormusica2024/portfolio
- Languages: Python, TypeScript, PowerShell, Bash
- AI / Agents: Claude Code (Opus / Sonnet), Codex (GPT-5.4), GLM-5, Grok 4
- Automation: Task Scheduler, GitHub Actions, Vercel, Cloud Run
- Knowledge Ops: Obsidian Vault, frontmatter metadata, semantic graph (graphify)
- Orchestration: Claude in Chrome (CiC), Playwright CLI, dev-browser, MCP servers
- Agent operations and AI workflow reliability
- Knowledge operations and agent-friendly structure design
- Cost-aware model routing and role separation
- Safe automation that reduces manual routing and repetitive judgment
- Guardrails, monitoring, and handover for real-world operation