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I built an AI agent that doesn’t just talk it takes action.
With ConnectGo, I worked on the agent orchestration, tool/function calling, OpenAI integration, voice AI, chatbots, email automation, and backend workflows that let the agent understand a request, call the right service, and return the result.
The goal was simple turn AI from a chat interface into something that can actually do work.
That’s the kind of AI system I enjoy building.
#AIAgents #AIEngineering #NodeJS #TypeScript
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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would actually use this lol. the customizable part is what runners care about
SupportFlow AI is a customer support management system built with Python, PySide6, FastAPI and PostgreSQL.
It helps teams manage customer requests, assign priorities and responsibilities, track conversations, and generate AI-assisted response suggestions while keeping a human in control of the final reply.
I built the application structure, interface, backend integration, database workflows, API layer and automated testing.
The conversation-revision idea sounds useful. I would also check that revision on the server when accepting the send, so a message arriving between review and click cannot slip through. Mark the draft stale while keeping the human edits visible. Two useful regression cases: a...
🚀 New project added to my Contra portfolio - Dynamiq AI!
I’ve just added Dynamiq AI to my portfolio, a project in the AI space that gave me another opportunity to explore the intersection of technology, product design, and user experience.
When designing digital products, I believe the goal goes beyond creating an attractive interface. It’s about making complex ideas easier to understand, helping users navigate the experience intuitively, and presenting information in a way that feels clear and purposeful.
🤖 What makes the product interesting:
→ Building AI agents and automating complex workflows
→ Connecting AI to business tools, knowledge bases, and data
→ Managing AI agents with security controls and human approvals
→ Monitoring performance and evaluating results
These are the kinds of challenges that make product design exciting for me — turning complex functionality into experiences that feel simple and natural to use.
✨ Always happy to explore new ideas, experiment with different approaches, and share more of my work along the way.
🔗 Check out Dynamiq AI: https://www.getdynamiq.ai/
The interviews with engineers and compliance reviewers caught my attention. What did the reviewers need to see before approving an agent action, and how did that change the approval screen?