I am a Full Stack AI Developer. I build with Next.js and Node.js. My main focus is RAG AI chatbots and AI agents.
What I build:
RAG chatbots (custom knowledge base, not generic GPT wrapper)
AI voice agents (VAPI)
OpenAI API integration
Full stack SaaS apps (Next.js, Node.js, MongoDB, PostgreSQL)
AI automation workflows
I am available for:
New AI product builds (RAG chatbot, AI agent, voice AI)
Full stack SaaS development
OpenAI/Claude API integration into existing apps
Built products: Echo (RAG chatbot + voice agent SaaS), Meet AI (AI meeting agent), RouteMind (AI voice agent for fleet ops).
DM me your idea, I will tell you what's possible and give a real timeline.
The industry standard for field service scheduling shows three to four technicians at a time, surrounded by completed appointments that are no longer relevant. Dispatchers spend their day mentally filtering noise just to see what is actually happening.
We designed a view where the full team's day is visible at once. All technicians, all AI-powered routes, who is running late, who has gaps, accessible from one place without opening a single individual profile. The view scrolls dynamically with time so completed appointments drop away and the focus stays on what still matters.
For a team of 150 technicians, the filter lets the dispatcher narrow to a specific group, region, or area in seconds. Tomorrow's schedule is already built before anyone starts work because the AI pre-builds routes based on recurring appointments.
Hi, this opportunity is highly relevant to VoltairTech. We build practical AI automation systems for businesses, including AI agents, RAG knowledge bases, chatbots, voice agents, CRM integrations, and custom workflow automation.
We’d be interested in joining your developer network and supporting client projects on a white-label or delivery-partner basis. Happy to share our capabilities and discuss the types of workflows your clients need help automating.
AI Agent Orchestrator decisions determine whether a useful assistant stays useful after day one. For MeetClaw, I design which channels it inhabits, which model provider it uses, and where its state lives before the installation begins. I have organised 3 self-funded buildathons around OpenClaw, Claude Code and Hermes, so I have seen the failures that a topology has to prevent. I work with approvals, read-back and live integrations so the operator can inspect the system. Message me with the workflow that needs coordination.