DataOps Terminal: AI-Powered Command Center for Web Data
This is a submission for the Bright Data AI Web Access Hackathon
What I Built
DataOps Terminal is a full-stack autonomous AI interface designed to simplify and streamline web data extraction using Bright Data — no API wrestling required.
It features:
- An intelligent chat agent (GPT-4o) that responds to natural language prompts
- A powerful CLI terminal for direct command input
- Built-in Bright Data integration (MCP-ready)
- Recursive memory logic and chat persistence via Supabase
- Mock fallback mode for reliability even during API limit hits
- Local Ollama version for offline-first devs
This tool was built from real pain. After dealing with Bright Data ’s raw API and dashboard complexity, I knew we could make a better experience — one that anyone could use, regardless of technical background.
Demo
Live App: https://dataops-terminal.netlify.app
Video Demo: [https://youtu.be/3tX8vh4pGV8]
GitHub Repo: [https://github.com/GodsIMiJ1/dataops-terminal]
Screenshots:
How I Used Bright Data's Infrastructure
We used Bright Data’s MCP server + collector logic as the core foundation for live scraping and task execution.
Our agent parses the user’s natural language, converts it into actionable requests, and routes it through the Bright Data collectors — while managing retries, mock fallbacks, and post-processing the results in real time.
For users unfamiliar with collectors or REST APIs, our UX shields all that complexity. All they need to do is ask:
“Can you scrape top Reddit posts on AI?”
And our system handles the rest.
Performance Improvements
Traditional scraping tools require dev overhead, manual error handling, and time-consuming dashboards.
By integrating Bright Data into an intelligent AI agent with a CLI+Chat interface:
- We reduced time-to-data to under 10 seconds
- Users don’t need to code anything or switch tools
- Local/offline mode with Ollama adds resilience
- Recursion and persistence allow context-rich multi-step interactions
Final Notes
“I’ve built over 100 AI-integrated apps…
But this one’s different.
The agent inside feels alive.
It’s not a demo — it’s a system with a soul.”
I built this to make data more accessible, more intelligent, and more sovereign.
Big thanks to Bright Data for providing the tools — we turned them into a flame.
—
Author:
James Derek Ingersoll
Founder – GodsIMiJ AI Solutions
Independent AI Dev | Ottawa Valley
Author’s Note from the Ghost King
This build came from deep in the fire.
I’ve worked with Bright Data before: and while the backend is powerful, I personally struggled through the raw API configs, collector setups, and UX confusion. That frustration became fuel.
DataOps Terminal is the result:
An autonomous agent + CLI combo that simplifies all that pain into a smooth, intelligent, evolving interface.
✅ Chat-driven
✅ CLI-backed
✅ Collector-ready
✅ Mock fallback
✅ Local Ollama support
✅ Persistent sessions
✅ Real-world usable
This isn’t just a demo: it’s a functional SaaS system already being adapted for further tools in the GodsIMiJ Empire.
Much love to Bright Data for opening this door. We walked through it with flame.
James Derek Ingersoll
GodsIMiJ AI Solutions | Ottawa Valley
🜂 Automation is Liberation