Stop creating content manually. Build an automation pipeline that turns ideas into published posts across every platform -- zero daily effort after setup.
Data flows from trigger to output automatically. The {0_0} handles the thinking.
Make.com (formerly Integromat) is a visual automation platform. You connect apps by dragging modules onto a canvas and drawing lines between them. No code, no CLI, no deployment headaches.
Think of it as programming with pictures. Each module is a function: it receives input, does something, and passes output to the next module. String enough together and you have a scenario -- Make's term for a workflow.
Manual posting means skipped days, uneven quality, and creative fatigue. An automated pipeline posts on schedule whether you are inspired or not.
Write one blog post. AI repurposes it into a Twitter thread, LinkedIn article, Instagram caption, and newsletter blurb. Five outputs from one input.
Every piece flows through a central log. Six months in, you have a searchable database of everything you've published, with source links and performance data.
Content creation, formatting, scheduling, cross-posting -- it all adds up. Automation handles the repetitive work so you focus on strategy and ideas.
A content machine is an automated pipeline with five stages. Each stage can be partially or fully handled by AI and automation tools.
You supply the idea or the trigger source. AI drafts, edits, formats, and distributes. Your role shifts from content laborer to content strategist. You decide what to say -- the machine handles how and where it gets said.
Follow along to build a content pipeline from scratch. Estimated setup time: 45 minutes.
Never paste API keys directly into shared scenarios. Use Make's built-in Connections feature to store credentials securely. If you share a scenario blueprint, keys are automatically stripped. Treat API keys like passwords -- rotate them if compromised.
This is the most common content machine: publish a blog post and watch social media posts materialize automatically across every channel.
WordPress webhook fires when a new post goes live
Claude API extracts key points, tone, and audience
AI creates Twitter thread, LinkedIn post, and Instagram caption
Notification sent to Slack for quick approval
Approved posts scheduled via Buffer across all platforms
Total time from blog publish to social posts scheduled: ~30 seconds
Here is every node in the content machine template and what it does. Copy this layout into your Make.com scenario.
Monitors one or more RSS feeds for new items. Fires when a new entry appears. Set polling interval to 15 minutes or hourly.
Receives the RSS item body. Your prompt instructs it to return structured JSON: summary, takeaways, hook, hashtags. Use system prompts for consistent voice.
Parses the AI response into individual fields. Maps summary, hook, and hashtags to separate variables for downstream use.
Splits the flow into branches: one for Twitter/X (short form), one for LinkedIn (professional tone), one for logging to Airtable.
Takes the formatted post and schedules it. Maps the hook to the post body, attaches hashtags, sets publish time from your content calendar.
Logs every generated post: source URL, AI output, publish status, timestamp. Your audit trail and content archive in one place.
Visual automation platform (formerly Integromat). Drag-and-drop scenario builder with 1,500+ app integrations. The backbone of this entire playbook.
Spreadsheet-database hybrid. Use it as your content log, editorial calendar, or CRM. Make has native Airtable modules for reading and writing records.
Free, collaborative spreadsheets. Great for logging AI outputs, tracking automation runs, and sharing data with non-technical teammates.
Access GPT-4o and GPT-4o-mini for text generation, summarization, and content transformation. Make has a native OpenAI module -- no code required.