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📚 Use AI to Scale Social Content with Human Oversight

How we use Make to create AI posts with human approval

Reading Time: 4 minutes

Hello AI Enthusiast,

Today we're sharing how we built a social media automation that combines AI efficiency with human judgment. This system creates both copy and visuals from simple Slack messages, but requires human approval before publishing—giving you the perfect balance of speed and quality control.

The Problem

Most businesses face a dilemma with AI content creation: either publish everything automatically and risk off-brand content, or manually review everything and lose the time-saving benefits. Full automation feels risky because AI can miss context, misinterpret tone, or create content that doesn't fit the moment. But manual creation is slow and inconsistent. The missing piece? Smart human oversight that maintains quality without killing efficiency.

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How We Do It: A Step-by-Step Guide

Here's how we built an automation in Make that scales content creation while keeping humans in control of what gets published. Our system works in two connected parts: content creation with human approval, then automated publishing once approved.

Part 1: AI Creation + Human Review

First Make scenario overview

The process starts when anyone on our team drops a simple message in our #human-in-the-loop Slack channel, like: "Create a post about the new multi-language audio overview from NotebookLM - make a CTA to our newsletter to learn more about it."

From there, the automation:

  1. Monitors Slack for new content requests in our dedicated channel

  2. Generates branded copy using our custom GPT trained on our voice and style

  3. Creates a custom image with ChatGPT based on the topic

  4. Stores everything in Google Drive and a tracking database

  5. Sends a preview back to Slack with the generated content and approval buttons

Slack message showing generated content preview with "Approve" and "Deny" buttons

Part 2: Approved Content Gets Published

Second Make scenario overview

When someone clicks "Approve," a second automation kicks in:

  1. Retrieves the approved content from our database

  2. Downloads the image from Google Drive

  3. Publishes to LinkedIn with the approved copy and visual

Why Human-in-the-Loop Works

The magic happens in that approval step. Here's what our team reviews before hitting "Approve":

Content quality check: Does the AI-generated copy match our brand voice? Is the message clear and engaging?

Timing and context: Is this the right time to post about this topic? Does it fit with recent company news or industry events?

Visual appropriateness: Does the generated image support the message? Is it professional and on-brand?

Strategic alignment: Does this post support our current marketing goals and messaging priorities?

This review takes about 30 seconds per post, but it's the difference between efficient automation and reckless publishing.

The Human-in-the-Loop Advantage

This approach gives us several key benefits that pure automation can't match:

Quality gate: Every piece of content gets human eyes before going live, catching AI mistakes or tone issues.

Context awareness: Humans can pause inappropriate content during sensitive company moments or industry events.

Strategic control: Marketing can align posts with current campaigns and messaging priorities.

Learning opportunity: Reviewing AI outputs helps the team understand what works and refine the system.

Risk mitigation: Prevents embarrassing or off-brand content from reaching your audience.

This balanced approach is what we help teams implement in our corporate training programs. Companies get the best results when they learn which tasks need AI automation versus where human judgment stays essential. Reach out if you'd like to explore this for your team.

Your Turn

Ready to build your own human-in-the-loop content system? Start with these steps:

  1. Pick your content type: Choose one type of social content to automate first (blog promotion, company updates, or industry insights).

  2. Set up the approval workflow: Create a dedicated Slack channel for content requests and another for approvals. The key is making the review process as frictionless as possible.

  3. Train your AI with examples: Spend time creating a custom GPT with examples of your best content. Include both what you want (great examples) and what you don't want (common mistakes).

  4. Start with high-frequency, low-risk content: Test your system with internal updates or evergreen educational content before using it for time-sensitive announcements.

Remember, the goal isn't to eliminate human judgment—it's to scale your team's creative capacity while maintaining the quality and strategic thinking that only humans can provide.

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  • Corporate Training: Equip your team with the skills they need to unlock the potential of AI in your business.

  • Practical Introduction to ChatGPT: A free course on using ChatGPT confidently, understanding its workings, and exploring its potential.

We'll be back with more AI tips soon!