Not because it was hard.
Because I had to pause every few seconds to write notes.
Before learning about AI agents, I wrote everything manually in a notebook.
Every lesson turned into a slow, frustrating process.
I kept thinking There has to be a smarter way to learn.
So I built one.
Not a complex system.
Not something enterprise-level.
Just a workflow that solved a real problem I faced every day.
Here’s what I built (shown in the image):
1️⃣ Telegram Trigger Waits for an image (for example, screenshots from tutorials).
2️⃣ Upload to Google Drive Stores the image in a structured folder.
3️⃣ AI Agent with Memory Checks if the image is clear and sends a message like: "Image received — processing…"
4️⃣ Binary File Handling The file is downloaded again because the image analyzer needs binary data to read it correctly.
5️⃣ AI Image Analyzer Extracts the title, headers, and key learning points from the image.
6️⃣ Structuring AI Agent Formats the extracted content into clean, organized notes and automatically adds them to Google Docs. Then it sends me a message with the document link.
That’s it.
Not perfect.
Not advanced.
But incredibly useful.
And most importantly — it saved me hours every week.
Now I’m working on the next version:
🎯 An AI workflow that can analyze videos — not just images.
If you’ve built something similar
or have ideas on how to improve this
I’d genuinely love to hear your thoughts.
Let’s build smarter systems, not harder workflows.
#AIAgents #Automation #Productivity #GenerativeAI #BuildInPublic