new usecases from Alex Finn

This commit is contained in:
hesamsheikh
2026-02-13 17:18:29 +01:00
parent 459a71ab31
commit 7468a1d8f8
6 changed files with 383 additions and 5 deletions

View File

@@ -0,0 +1,75 @@
# 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](https://clawhub.ai) or similar for social media research
- Local image generation (e.g., Nano Banana) or an image generation API
- [knowledge-base](https://clawhub.ai) skill (optional, for RAG-powered research)
## How to Set It Up
1. Set up a Discord server (or ask OpenClaw to do it for you — just say "Set up a Discord for us").
2. Create channels for each agent:
- `#research` — trending topics and content opportunities
- `#scripts` — written drafts and outlines
- `#thumbnails` — generated images and cover art
3. Prompt OpenClaw:
```text
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.
```
4. Customize for your platform:
```text
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](https://www.youtube.com/watch?v=41_TNGDDnfQ).
## Related Links
- [OpenClaw Subagent Docs](https://github.com/openclaw/openclaw)
- [Discord Bot Setup](https://discord.com/developers/docs)