I Rewrote My Entire Workflow in Two Weeks
Week one: I removed the desk from coding. Week two: I removed the apps from everything else.
Two weeks ago I was a normal developer. Laptop on desk. Tabs open. Notifications pulling me between six apps. The usual.
Today my laptop is optional for coding, I talk to a single AI agent on Telegram for everything else, and my decisions get published as web pages on my own domain. Not gradually. Two weeks.
Here's what happened.
+ Mobile App
+ Personal Agent
I Code From My Phone Now
I'm a contributor to Agent Orchestrator, an open-source system by Composio for managing 20+ parallel AI coding agents on your codebase. AO is powerful, but it had a bottleneck: me. Every time an agent needed input — an approval, a merge decision, a stuck session — I had to be at my laptop.
Multiple agents running in parallel, and a human at a desk as the chokepoint.
App closed, phone in pocket, walking somewhere — buzz: "Session needs input." I handle it from my phone. Agent continues. I keep walking.
I wrote about this in detail — the PWA dead end, the native app build, the architecture. After a week of using it, coding from my desk felt like going back to a flip phone.
But something nagged me. I'd removed the desk from coding. Everything else in my life still required six apps and constant context-switching.
One Agent for Everything
I kept seeing people on Twitter offloading real tasks to personal AI agents. Not demos. Actual workflows: parsing bank statements, publishing research, writing in their own voice. They were getting tangibly more productive.
I set up OpenClaw. $13/month. 45 minutes to install. Connected it to Telegram, authenticated with Codex and Claude, enabled memory search, pointed a domain at it, and configured three tiers of web publishing.
The first day it was running, I told it: "Revamp my portfolio. Clean, minimal, dark theme."
Ten minutes later it had read my old repo, studied the design I wanted, built the entire page with inline CSS, and published it to my domain. Done.
My last portfolio took a full Saturday. Figma, CSS tweaks, deploy to Vercel, check mobile, redeploy. Eight hours.
This time: one Telegram message while making coffee.
What Actually Got Replaced
| Task | Before | After |
|---|---|---|
| Notes | Apple Notes / Google Keep | Captured to inbox.md |
| Research | ChatGPT & Claude (separate tabs) | Living HTML pages on my domain |
| Small apps | Cursor | Agent builds them |
| Hosting | Vercel | Caddy on same VPS |
| Deep research | Google + manual synthesis | Full reports with data & sources |
| Social posts | Twitter draft mode | Agent drafts in my voice |
The biggest shift isn't any single feature. It's having one place to dump ideas and explore every possibility. Before, a thought would either die in my head or cost me twenty minutes of context-switching across apps. Now I message my agent. It captures, researches, or builds — whatever the thought needs.
The Research Problem, Solved
When I ask ChatGPT to research something, I get a summary. Useful in the moment. I'll never find it again.
When I ask my agent, I get the research itself — a full HTML page with tables, comparisons, source links, analysis. On my domain. With a URL I can share. That I can revisit in six months. That the agent updates when things change.
Every significant decision or research task now produces a URL. Decisions stop being ephemeral. They become artifacts.
The Personality Layer
This surprised me the most.
I started using the agent to draft tweets and LinkedIn posts. At first — generic. The usual AI voice everyone scrolls past. But OpenClaw has SKILL.md files that teach the agent how to behave for specific tasks. I wrote one describing my style: punchy, data-forward, tables over prose, narrative-driven, minimal jargon.
After a week, the agent isn't just following the style guide. It's learning my actual patterns — what I emphasize, how I structure arguments, which phrases I use, what I'd never say. The memory system builds context with every conversation.
Now when I say "draft a post about my workflow changes," it writes something that sounds like me. Not perfect. But close. And getting closer every day.
This is the real unlock. Not a smart chatbot. An assistant that's mine.
A Day in the New Workflow
Blue dots = AO mobile app. Green dots = OpenClaw personal agent.
No laptop opened. No desk visited. Every task handled from my phone through two systems: AO for coding, OpenClaw for everything else.
The Two Systems
Both run 24/7. One manages coding agents. The other manages me. Together they cover everything I used to need a laptop and six apps for.
| Component | Cost |
|---|---|
| Hetzner VPS (OpenClaw) | $13/mo |
| LLMs (Codex + Claude) | Sponsored 😂 |
| Embeddings | ~$0.01/mo |
| Domain | ~$3/yr |
| AO Mobile App | Free (I built it) |
What's Next
The obvious next step: connect the two systems. I'm adding Agent Orchestrator as an OpenClaw plugin — so I can triage AO issues, monitor builds, and fix bugs through the same Telegram chat that handles everything else. One interface for coding and life.
Beyond that: Tailscale for zero-trust access. Sandboxed agents in WhatsApp groups. Cron jobs for daily briefings. Voice notes that get transcribed and acted on.
Two weeks ago I was a normal developer. Six apps, one desk, constant context-switching. Now I have two AI systems running my workflow — one for code, one for everything else — and I control both from my phone.
The foundation took two weeks. Everything else is just adding skills.
This personal agent setup is inspired by Prateek Karnal's agentic infrastructure — his living documents, 3-tier publishing model, and the idea that every decision should have a URL.
Want to build this? I wrote a complete step-by-step setup guide for the OpenClaw side — every command, every config, every gotcha. Read the full technical walkthrough →