I used to think “automation” meant setting a few calendar reminders and calling it a day. Now it means I can say, “Publish a blog post about my AI workflow,” and the system just does it—opening Claude Code on my office PC, drafting the piece, deploying it, and sending me the live link… right into my Meta display glasses.

This isn’t a demo. It’s how I run my office. I built a command center called Nabster that orchestrates AI agents the way a chief of staff orchestrates a team. At the core is Codex, which handles code, tools, and execution. WhatsApp is my command line in the real world. Meta display glasses are my heads-up display for status updates. The result is a workflow that’s fast, calm, and surprisingly human.

The system in one sentence

My AI agent takes requests from WhatsApp, executes them on my stack using Codex (including opening Claude Code), reports status in real time, and delivers final results to my Meta display glasses.

Ask → Execute → Report → Deliver. That’s the loop.

What “runs my office” actually means

When I say the agent “runs my office,” I don’t mean it replaces me. It replaces the friction around me. The agent handles all the mechanical steps that used to drain time:

• Opening the right repo and tools
• Reading the latest progress notes and task history
• Writing or editing files without context loss
• Deploying and monitoring builds
• Summarizing outcomes back to me

If I have a specific request (like today’s post), I message it on WhatsApp. The agent captures it, creates a structured work item, and starts executing.

Why Codex is the engine

Codex isn’t just “an AI that codes.” For me, it’s the execution engine behind every workflow. It opens Claude Code, navigates the project, drafts content, runs scripts, monitors builds, and ensures deployment actually happened.

Here’s what matters: Codex doesn’t just write; it does. It interfaces with my tools and runs the actual commands. If I want a new blog post, it doesn’t just give me a draft—it pushes the changes, deploys the site, and verifies that the link is live.

WhatsApp as the command channel

I don’t want to log into a dashboard to use my own system. I want to send a message. WhatsApp is where I already live, so it became the command channel.

The agent interprets it, makes it a formal task, and starts. No extra tools. No context switching. Just conversation.

Meta glasses as the status display

The magic isn’t only in the execution—it’s in awareness. I get short updates in my Meta glasses as the work runs:

• “Draft created”
• “Deployment started”
• “Build complete”
• “Live URL ready”

Instead of chasing status, I’m receiving status. The workflow is calm because it’s visible.

The real payoff: focus

The biggest win isn’t speed. It’s focus. I used to lose half my day to small operational tasks. Now I stay in a strategic lane while the agent handles execution.

This is the key shift: I control the system, and the system handles the system.

What I’ve learned building this

1. Agents need structure, not just prompts.
2. Communication channels matter.
3. Status reduces anxiety.
4. Execution is the differentiator.

Where this is going

I’m moving toward a world where my ops stack runs like a 24/7 micro-team. The agent handles intake, triage, execution, and reporting. It will eventually schedule meetings, generate proposals, send follow-ups, and run customer workflows—all without me babysitting it.

The takeaway

If you’re still thinking of AI as a chatbot, you’re missing the point. The real unlock is an agentic workflow—one that can take a real-world request, execute across your tools, and report back in the channel you live in.

That’s the system I’m running. It’s Codex for execution, WhatsApp for commands, and Meta display glasses for visibility. It’s simple, pragmatic, and surprisingly powerful.