Mechanics Buddy (In Development)
Building an offline AI assistant for mechanical maintenance and repair. Users load equipment documentation and the system creates an interactive agent that guides them through procedures step by step — no internet required. Designed for environments where connectivity isn't guaranteed and precision matters. AI vision integration included.
- TokenGuard MCP Tool
Built a custom MCP tool that forces AI agents to query a local database of previously retrieved answers before making new API calls. This prevents agents from getting stuck in loops or duplicating requests — directly reducing API costs for the end user. Built in response to a real problem I encountered while developing my own agentic workflows. Tech stack: MCP protocol, local database integration, Python.
- Razor Agentic Marketplace (Dev.)
Designing a passthrough database layer that sits between AI agents and their tools, with a marketplace where developers can buy and sell access to pre-built agents and tool configurations. The core idea: every agent query routes through a shared knowledge layer, reducing redundant API calls across users. Currently in architecture phase.
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