Built an open-source tool (Notipo) that handles the full pipeline — Notion page creation, images, SEO, Gutenberg blocks. Works with OpenClaw, Claude Code, n8n, or any HTTP client. Blog post with full walkthrough: https://notipo.com/blog/openclaw-wordpress-publishing

Just shipped two things today. 1. n8n Integration Notipo works as a drop-in publishing engine inside n8n. Instead of building 50 nodes to handle Gutenberg conversion, image uploads, featured image generation, and SEO metadata — you call one HTTP Request node and Notipo handles the advanced logic. Full editorial pipeline example: Airtable brief → AI Agent generates post → Notion page created → Notipo publishes to WordPress → Slack notifications if errors occur. Docs: notipo.com/docs/api/n8n 2. CLI for AI agents The Notipo CLI is built for agentic workflows — Claude, Cursor, or any AI agent that can run terminal commands can now create posts, trigger syncs, and monitor jobs directly: npx notipo posts create npx notipo sync npx notipo jobs All output is JSON so agents can parse and act on it programmatically. Docs: notipo.com/docs/api/cli

A while back I documented the full automation system I built to publish from Notion to WordPress. 51-node sync workflow, 5 Airtable tables, a Python/Pillow image generation API, and an image mapping cache to handle Notion’s expiring S3 URLs. It worked. Never broke. But maintaining it was a different story — every time I needed to change something I had to trace the entire flow to understand what I’d built. So I rebuilt it as a proper app. Same pipeline, proper code. - Notion webhook triggers a sync - Notion blocks converted to Gutenberg HTML - Inline images downloaded, uploaded to WordPress, URLs cached in Postgres - Featured image auto-generated - Rank Math SEO applied - WordPress draft created - Change status to Publish in Notion — goes live The full blog post with all the n8n workflows, Airtable templates, and implementation details is here (still available for premium members): 👉 https://kjetilfuras.com/automate-wordpress-blog-publishing/ The app I built from it is called Notipo. Open source, self-hostable with Docker, or hosted version with a 7-day free trial: 👉 https://notipo.com If anyone here runs a WordPress blog and writes in Notion — give it a try. Honest feedback welcome, especially if something breaks.

I just published a blog post where I dive into how I automated my entire WordPress publishing workflow. From writing in Notion → syncing to Airtable → generating featured images → publishing to WordPress with SEO configured. No copy/paste. No manual uploads. No SEO screens. If you publish regularly and hate the overhead, this might give you a few ideas (or save you a lot of time). 👉 Read it here: https://kjetilfuras.com/automate-wordpress-blog-publishing/

Most people use Google's Antigravity to build apps and websites. I use it to build AI employees. Here's how: I took the framework from this post put it in Qwen “thinking mode” ended up being about 1445 (idk how he got 2590, I’m sure I’m missing something) lines when I was done. (You have to give you the output in small chunks otherwise gets cut off but it will produce it) If you connected this with Claude code I’m sure it would do wonders, I’m cheap I use Gemini for now. 1. I need you to design a complete blueprint for building AI employees - a 2,590-line instruction (roughly) file called AGENTS.md. Think of it as the DNA for my AI workforce. 2. I will upload it to Google's Antigravity and I want to give it one simple prompt: "Setup the infrastructure using AGENTS.md" 3. I want to be able to give it another prompt (example): "Build a LinkedIn content creator". 4. The AI should be able to take over completely. I can answer questions like "What should the LinkedIn creator do?" or "Do you have examples?" I will also provid API keys when it asked. 5. I should be able to start testing and fine-tuning using plain English - no code, just conversations. 6. What it should be able to do: The AI logs every run, and after about 20 attempts, it analyzes the patterns and suggests improvements to its own instructions based on what worked and what didn't. 7. When those recommendations come in, I review them. If I approve, it rewrites its own instructions. I don't have to do anything else - it literally makes itself better over time. And now that the infrastructure is set up? If I want to build another AI employee, I just tell the AI what I want in plain English. I had Qwen build out the file, have it output it in sections otherwise it will get cut off. Now I have Antigravity + Ralph Loop + GSD (Get $h!t Done) + Antigravity Skills + the n8n-mcp.com + Jules + LLM of choice = An amazing AI Employee(s). Make sure you have it integrate all your tools and skills and everything is mapped, always ask/audit for gaps ie ways to improve/more robust. This does an amazing job my Employee helps me build workflow, test troubleshoot front end issue with React for webapp builds, and a huge headache saver.