Multi-Agent Content Factory

You're a content creator juggling research, writing, and design across multiple platforms. Each step — finding trending topics, writing scripts, generating thumbnails — eats hours of your day. What if a team of specialized agents handled all of it overnight?

This workflow sets up a multi-agent content factory inside Discord, where different agents handle research, writing, and visual assets in dedicated channels.

What It Does

Research Agent scans trending stories, competitor content, and social media for the best content opportunities each morning
Writing Agent takes the top ideas and writes full scripts, threads, or newsletter drafts
Thumbnail Agent generates AI thumbnails or cover images for the content
Each agent works in its own Discord channel, keeping everything organized and reviewable
Runs automatically on a schedule (e.g., daily at 8 AM) so you wake up to finished content

Pain Point

Content creation has three phases — research, writing, and design — and most creators are doing all three manually. Even with AI writing tools, you still have to prompt them one at a time. This system chains agents together in a pipeline where one agent's output feeds the next, completely hands-free.

Skills You Need

Discord integration with multiple channels
sessions_spawn / sessions_send for multi-agent orchestration
x-research-v2 or similar for social media research
Local image generation (e.g., Nano Banana) or an image generation API
knowledge-base skill (optional, for RAG-powered research)

How to Set It Up

Set up a Discord server (or ask OpenClaw to do it for you — just say "Set up a Discord for us").
Create channels for each agent:
- #research — trending topics and content opportunities
- #scripts — written drafts and outlines
- #thumbnails — generated images and cover art
Prompt OpenClaw:

I want you to build me a content factory inside of Discord.
Set up channels for different agents:

1. Research Agent (#research): Every morning at 8 AM, research top trending
   stories, competitor content, and what's performing well on social media
   in my niche. Post the top 5 content opportunities with sources.

2. Writing Agent (#scripts): Take the best idea from the research agent
   and write a full script/thread/newsletter draft. Post it in #scripts.

3. Thumbnail Agent (#thumbnails): Generate AI thumbnails or cover images
   for the content. Post them in #thumbnails.

Have all their work organized in different channels.
Run this pipeline automatically every morning.

Customize for your platform:

I focus on X/Twitter threads, not YouTube. Change the writing agent
to produce tweet threads instead of video scripts.

Key Insights

The power is in the chained agents — research feeds writing, writing feeds thumbnails. You don't prompt each step individually.
Discord channels make it easy to review each agent's work separately and give feedback like "scripts are too long" or "focus more on AI news."
You can adapt this for any content format: tweets, newsletters, LinkedIn posts, podcast outlines, blog articles.
Running a local model for image generation (like Nano Banana on a Mac Studio) keeps costs down and gives you more control.

Based On

Inspired by Alex Finn's video on life-changing OpenClaw use cases.

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