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adkinsbai/README.md

Adkins Bai

AI Product Founder | Full-Stack Builder | Voice AI, RAG Systems, Agentic Workflows

I build practical AI-native products: desktop agents, voice interfaces, enterprise knowledge systems, and full-stack agent applications.

GitHub AI Products Founder Mode


What I Build

I work at the layer where AI becomes product:

  • voice-to-action tools that fit into real desktop workflows
  • RAG and enterprise knowledge systems for teams
  • agent-powered applications with identity, matching, chat, and user models
  • rapid MVPs that can become release-ready software

My standard is simple: a product should feel useful in the first session, not only impressive in a demo.

Product Portfolio

Product Role What it proves
TypeUp Founder / builder Windows desktop AI voice transcription and editing client with local engine orchestration, Electron UI, Python agent, and release packaging.
Enterprise KB Full-stack AI product builder Enterprise RAG shell around RAGFlow: users, permissions, document workflows, streaming AI chat, training modules, and admin operations.
Second-Me Skills / Qiubi Agent app builder Full-stack SecondMe / agent application work, including social product flows, OAuth, daily matching, chat, community, and reusable build skills.
VoxType AI interaction prototyper Voice-input and AI typing experiments for practical productivity workflows.

Founder Profile

I am building in the AI product space with a bias toward shipping.

Product judgment

I care about real user workflows, not model novelty alone. I think through the full loop: problem, interface, data, model behavior, feedback, packaging, and iteration.

Engineering depth

I can move from frontend to backend to desktop runtime. I am comfortable building the product surface, integrating APIs, managing local engines, and preparing releases.

AI systems focus

My work spans RAG, voice, agents, desktop automation, streaming chat, OAuth, local-first tools, and knowledge workflows.

Technical Stack

TypeScript Next.js React Python Electron Node.js Tailwind CSS RAGFlow Speech to text Agents

Current Direction

I am especially interested in:

  • AI productivity tools that reduce friction in everyday work
  • local desktop agents that make model output immediately actionable
  • enterprise RAG systems with real permissions, operations, and workflow design
  • agent-native applications that combine identity, context, chat, and decision support

Featured Repositories

TypeUp repository card Enterprise KB repository card



Second-Me-Skills repository card VoxType repository card

GitHub Signal

GitHub stats Top languages


Building AI products from prototype to shipped software.

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