1d (edited) • Wins & Builds
When one workflows sparks an idea for another!
A couple of weeks ago I shared a small workflow: it turns YouTube videos I find interesting into structured research docs, so the good ideas don't evaporate the moment the video ends. New tech, architecture talks, build logs. Transcribe it, break it down, and file it where my agents and I can both find it later, so we can ideate on it and figure out how it fits the stack we are already building.
That workflow was the goal. I built it because I wanted it, and it does its job.
But finishing it left me holding something I didn't have before: a research library that grows every time I digest something good. And that asset spawned the next idea. Now that I've got this dataset, what can I automate around it?
So I built a LangChain blog writer agent on top of it. Every 2 weeks it reads that same research library, surfaces three things worth writing about, and hands me the shortlist. I pick one. It drafts the post. I approve it. Then it publishes to my site on its own.
I keep exactly two decisions: which idea, and whether the draft is good enough to ship. The agent does the rest.
That's how I approach AI. You don't architect the grand system up front. You build one honest thing because it's worth having, and the finished thing hands you raw material you didn't have yesterday. One good idea becomes the dataset for the next one. It cascades.
Now here's the part I left out, because the cascade goes back further than the YouTube workflow.
None of this was the plan. It started when I decided to actually learn LangGraph and LangSmith. Not for a project. Just to understand how agents get built, and how you trace what they do once they are running. I made toy graphs. I sat and read the traces. I broke things on purpose to see what the tooling would show me.
That curiosity was the first domino. Learning the framework is what got me building agents at all. Building agents is what made me want a research pipeline to feed them. That pipeline is what made the blog writer obvious.
Nobody handed me a roadmap. I picked up the tools, got genuinely interested, and followed the thread. The transcripts became research. The research became posts. The posts are already turning into the next thing.
If you have been meaning to learn a framework, that is the whole move. Learn it for real, build one small thing, and let it cascade.
What workflows and automations have you built based on the output of another that sparked the idea?
0
2 comments
When one workflows sparks an idea for another!
powered by
skool.com/the-agent-lab-1154
Learn agentic AI by building real systems. For people starting out and seasoned builders sharing workflows, templates, and ideas.
Suggested communities
Powered by