Build an OpenClaw Agent That Posts Like a 100K Creator
Autonomous content creation and publishing, running 24/7 without you
A 100K creator does not write every post manually. They have systems. OpenClaw is an open-source agent framework built on Claude that lets you define what your account stands for, set a content strategy, and let an AI agent handle the research, writing, and publishing continuously. This guide builds your first OpenClaw content agent from scratch.
An agent that thinks like a creator, not a chatbot.
OpenClaw is an open-source agent framework that wraps Claude in a structured loop: research → draft → review → publish → learn. Unlike a simple Claude prompt, an OpenClaw agent has persistent memory of what has performed well, an understanding of your brand voice, and the ability to make publishing decisions autonomously.
Trend awareness
The agent researches current conversations in your niche before writing. It does not post into a vacuum.
Brand voice memory
You define your voice once. The agent applies it consistently across every post, thread, and piece of content it writes.
Platform-native formatting
The agent writes differently for LinkedIn, X, and Instagram because the platforms are different. Same idea, three formats.
Performance learning
The agent tracks what gets engagement and adjusts its content strategy over time. It gets better the longer it runs.
Before you start building.
Claude API access
You will need an Anthropic API key. Get one at console.anthropic.com. Estimated cost for a content agent running daily: $5-15/month.
OpenClaw installed
Open-source framework available on GitHub. Install with: pip install openclaw or clone the repo directly.
A social platform API token
Twitter/X Developer API for X posting, LinkedIn API for LinkedIn. Both have free tiers sufficient for content agents.
Basic Python familiarity
You will edit config files and run Python scripts. No deep programming knowledge required.
Five steps to a running agent.
10 min
Install and configure OpenClaw
Start by installing OpenClaw and setting up your environment.
pip install openclaw openclaw init my-content-agent cd my-content-agent
This creates a project folder with a config.yaml file where you define your agent.
10 min
Define your brand voice
Open config.yaml and fill in your brand identity. This is what the agent uses to stay consistent.
brand:
name: "Your Name or Brand"
handle: "@yourhandle"
niche: "AI marketing for non-technical founders"
voice: |
Practical and direct. No hype, no jargon. Write like you are
explaining something to a smart friend who is not in tech.
Use short sentences. Concrete examples over abstract concepts.
Confident but not arrogant.
topics:
- AI marketing tools and workflows
- Founder-led marketing
- Content systems and automation
- What is actually working (with data)
avoid:
- Engagement bait ("comment yes if you agree")
- Vague motivational content
- Tool lists without context10 min
Set your content strategy
Tell the agent what to post, how often, and on which platforms.
strategy:
platforms:
- twitter
- linkedin
cadence:
twitter: 3 # posts per day
linkedin: 1 # posts per day
content_mix:
- type: "insight"
weight: 0.4 # 40% of posts
description: "One concrete insight from your niche this week"
- type: "case_study"
weight: 0.3
description: "A specific result or example with numbers"
- type: "opinion"
weight: 0.2
description: "A contrarian or nuanced take on a trending topic"
- type: "engagement"
weight: 0.1
description: "A question or poll that invites genuine discussion"10 min
Set up your API keys
Add your API credentials to the .env file OpenClaw creates.
ANTHROPIC_API_KEY=your_key_here TWITTER_API_KEY=your_key_here TWITTER_API_SECRET=your_key_here TWITTER_ACCESS_TOKEN=your_key_here TWITTER_ACCESS_SECRET=your_key_here LINKEDIN_ACCESS_TOKEN=your_key_here
5 min
Run the agent
Start your agent. Run it once to preview what it would post before enabling auto-publish.
# Preview mode -- shows what the agent would post without publishing openclaw run --preview # Run once and publish openclaw run --publish # Run on a schedule (recommended: use a cron job or cloud scheduler) openclaw start --schedule
Never run blind. Always review first.
No agent should publish without a review period. Run the agent in preview mode for one week. Read every post it generates. Adjust the config.yaml to correct anything off-brand. Only enable auto-publish when you trust the output.
Set a daily review slot
10 minutes each morning to read the previous day's drafts and approve the next day's queue. The agent handles production. You handle judgment.
Use the feedback loop
OpenClaw has a built-in feedback command: openclaw feedback --post-id [id] --rating [1-5] --note "too generic". The agent learns from your ratings.
Keep a human post each week
Post one piece of content yourself every week. It keeps your authentic voice in the mix and gives you a baseline to compare the agent against.
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