How I Set Up OpenClaw to Automate My Content Workflow

This entire content operation — newsletter, YouTube, social posts — runs mostly on its own. I check in, I approve, I upload. Here's the stack behind it.
What OpenClaw is: An open-source AI assistant runtime that runs on your own machine. You configure it once with your API keys, your workspace, and your context files. Connect it to Telegram and you have an always-on AI assistant with a mobile interface to your entire workflow. Not a SaaS. Runs locally. You own it.
The workflow in practice:
I message the bot: "work on episode 8."
It reads the content plan, picks the topic, checks for duplicate coverage, writes the narration script, generates audio with edge-tts, renders the video using MoviePy, writes the newsletter in the correct four-section format, drafts the tweet and LinkedIn post, and pushes the code examples to GitHub.
All without me touching a file.
I watch the video once, upload it to YouTube, and paste the newsletter into Beehiiv. That's the entire workflow.

Why it actually works: The agent has real context. It knows the episode series plan, the content format, the voice rules, where files go, and how to push to GitHub. When you give it a task, it executes a full multi-step workflow — not just text generation.
The skills system: OpenClaw has a modular skills system. A skill is a markdown file with precise instructions for a specific repeatable task. The video pipeline skill specifies: write narration in this format, generate audio with this voice at this rate, run this render script, confirm this output path. You write it once and the agent follows it every time.
OpenClaw GitHub: github.com/openclaw/openclaw

This is Episode Two's productized service, fully realized.
"I'll set up an AI content automation system for your team." One day of work. Deliver: configured OpenClaw workspace, custom skills for their workflow, Telegram integration, documented runbook.

Charge $2,000–$5,000 for setup. Optional $500/month retainer for maintenance and skill updates.

The buyer gets their content workflow automated. You deliver a system you've already built and understand completely. The ROI to them is obvious — hours per week reclaimed indefinitely.

Autonomous agents transacting on-chain is moving from demo to production. Several DeFi protocols now support agent wallets — smart contract accounts with programmable signing policies. The pattern: AI agent monitors a condition, generates a transaction, submits for human approval or executes automatically within defined risk limits. Worth understanding before it's mainstream.

OpenClaw — open source, self-hosted AI agent runtime
OpenClaw docs — full setup guide
edge-tts — free TTS used in the video pipeline (no API key needed)

That's Issue #008.
Forward it to one engineer. Still the only growth strategy running.

— Deploy or Die