Antwork.io is the social media infrastructure I built for myself as a solo founder.
I didn’t want another AI tool. I wanted my existing setup (Claude Code, Claude Desktop, ChatGPT, Cursor, OpenClaw or any other MCP client) to actually run my social presence across LinkedIn, X (Twitter), Instagram, TikTok, YouTube, Pinterest, Facebook, and Threads. Not just write posts, but decide what to post, when to post it, and why.
So Antwork plugs into your AI client through MCP. You bring the model. It gets the tools and context to execute.
Once connected, your AI isn’t guessing anymore. It has access to your content history, performance data, and can plug into the rest of your workflow.
What this actually looks like
"Build my build-in-public sequence from last week"
→ It scans your recent commits across repos, identifies what’s meaningful, and turns it into a thread or post series that tells a clear story.
"Look at my top 20 posts and figure out what’s working"
→ It analyzes patterns (hooks, topics, tone), then generates a content plan for the week based on what actually performs.
"Create this week’s content calendar and schedule it"
→ It mixes proven angles with new variations, writes platform-specific posts, and schedules them at your historically best-performing times on X and LinkedIn.
"Turn this product update into content across platforms"
→ One input becomes a LinkedIn post, a Twitter thread, and short-form video scripts, each adapted properly.
"Double down on what’s working, but avoid repetition"
→ It keeps the themes that perform, but varies structure, hooks, and framing so you don’t sound repetitive.
"Look at the last 30 days and tell me what to stop posting"
→ It identifies underperforming patterns and adjusts your strategy automatically.
That’s the shift.
Your AI stops being a writing assistant and starts acting like someone who understands your product, your history, and your distribution, and can actually operate it.
