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Cover image for DataOps Terminal v2.0: Real-World AI Ops with Dual Model Intelligence
James D Ingersoll (Ghost King)
James D Ingersoll (Ghost King)

Posted on • Edited on

DataOps Terminal v2.0: Real-World AI Ops with Dual Model Intelligence

DataOps Terminal v2.0: Real-World AI Ops with Dual Model Intelligence

Forget theory. Welcome to deployment.

This is what real-world AI sovereignty looks like... coded, shipped, and running.

đź”— Launch Terminal


What Is It?

DataOps Terminal v2.0 is a deployed, real-time command console for developers and AI engineers who demand more than static dashboards or simulated agents.

It fuses powerful dual-model intelligence with secure, live execution ... built for actual workflows, not just demos.

This system integrates:

  • Natural language reasoning via Claude Opus 4
  • Operational command via Claude Code (AG2)
  • Optional cost-saving runs using Claude Haiku 3.5

How It Works

[ USER TYPES A REQUEST IN THE CHAT UI ]
            ↓
Claude Opus 4 (Strategic AI)
 Parses, plans, and composes command

            ↓
Claude Code (Execution Engine)
 Executes live in the terminal

            ↓
[ RESULT DISPLAYED IN REAL-TIME ]
Enter fullscreen mode Exit fullscreen mode


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Want to reduce cost or speed up output?
Switch to Claude Haiku 3.5 with a single toggle or CLI command.


Claude AI Integration (Opus / Haiku)

Use natural prompts like:

bash
!claude analyze the GHOSTCLI architecture
!claude fix the connection issue
!claude enhance the ClaudeRouter function

All operations run inside the terminal, parsed by Claude, executed live.


Toggle Between Models

Switch models anytime via:

bash
!model set opus # Claude Opus 4 (high-performance mode)
!model set haiku # Claude Haiku 3.5 (lightweight mode)

Or use the dropdown toggle in the UI.
No restarts. No reloads. Seamless execution flow.


Dual-Screen Flame View

  • Left Panel: Claude Chat UI (strategic ops, planning)
  • Right Panel: CLI terminal (command execution)
  • FlameSync ensures all terminal and agent activity remains secure, synchronized, and session-bound

Bright Data Integration

Use integrated MCP CLI commands for:

  • Discovering real-time web data
  • Accessing structured pages
  • Interacting with external websites
  • Extracting and saving intelligence

Example:

bash
!dataops extract --url "https://target.com"


Security & System Integrity

  • Encrypted session auth
  • NODE-sealed system logs
  • FlameOS compatible
  • Claude ↔ GPT model switching (v3.0 roadmap)

Screenshots

Flame Dual Mode
Claude CLI Execution
MCP Command Run


Tech Stack

  • Next.js + TailwindCSS
  • Supabase (Auth + DB)
  • Claude Opus / Claude Code
  • Bright Data CLI
  • Netlify (Right Hand deployment)

About the Developer

Posted by: James Derek Ingersoll
Independent full-stack dev and AI systems architect building sovereign tools at the edge of automation and intelligence.

I build to deploy.
I don't pitch simulations — I ship live terminals.


Try It Yourself

Launch DataOps Terminal v2.0


Let's Connect


The demo era is over.
This is real-time AI deployment.

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Top comments (5)

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ghostking314 profile image
James D Ingersoll (Ghost King)

This isn’t just a terminal — it’s a sovereign control center.

We built this to show what’s actually possible with dual-model orchestration and AI-first deployment.
No fluff. No fiction.

If you’re tired of theory and looking for the real thing —
💥 It’s here. It’s live.

👇 Try it out for yourself:
dataops-terminal.netlify.app/terminal

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aiquant_labs profile image
AIQuant Labs

Good job!

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nevodavid profile image
Nevo David

pretty cool seeing someone ditch the demo talk and just ship real stuff - you think the real value sticks long-term or does hype always fade on tools like this?

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nathan_tarbert profile image
Nathan Tarbert

Pretty cool seeing it go straight to real deployment like that. you ever feel like actually building and shipping matters more than the pitch or hype in this space?

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ghostking314 profile image
James D Ingersoll (Ghost King) • Edited

100%. It’s why I don’t spend much time pitching anymore.

I just build, deploy, and let the systems speak for themselves.

Hype fades. Real infrastructure lasts.
Appreciate you seeing that... seriously.