Where I've Been, and Where We're Going Next

It’s been a little quiet around here, and I owe you an explanation.

writen by

Ayotomiwa Oladotun

Posted on

July 1, 2025

If you’ve been following along, you know my passion lies in Web3 marketing—understanding the strategies, the communities, and the narratives that make this space so unique. But for the past few months, I’ve been pulled deeper down the rabbit hole. I realized that to truly understand how to market the future, I needed to get my hands dirty and actually build it.

I haven't been gone; I've been in the lab.

My focus has expanded from just the "what" and "why" of Web3 to the "how." This journey has led me down two incredibly exciting paths: hands-on Web3 development and building practical AI Agents & Automated Workflows.

From Marketing Strategy to Building the Engine

It started with a simple thought: "How does this actually work?" That question led me to build my own smart contract monitoring dashboard from scratch. This wasn't just a simple project; it was a full-stack application designed to provide real-time analytics for on-chain activity.

The system listens to live Transfer events from a major token contract like USDC. I built a resilient Python listener with Web3.py that ingests these events, saves them to a structured SQLite database, and serves the data via a Flask API. The frontend is a sleek, dynamic interface built with HTML, Tailwind CSS, and vanilla JavaScript, featuring live-updating stats, a filterable table of transactions, interactive charts, and even an AI-powered panel that translates natural language questions into custom database queries.

smart contract monitor dashboard

This project forced me to move beyond marketing theory and into the practical realities of data engineering and full-stack development. It wasn't a distraction; it was an upgrade.

My lab: Building with AI agents and automation

At the same time, I became obsessed with efficiency and intelligence. How can we make systems smarter and more automated? This led me to the world of AI Agents and automation platforms like n8n. Instead of just talking about concepts, I started building practical tools.

Here are a few of the workflows I've been developing:

  • YouTube content writer: This workflow fetches trending finance topics from Reddit, Google Trends, and finance news sources every 24 hours. It filters and combines the results, then uses AI to pick the best topics and generate YouTube video scripts automatically.
YouTube content writer workflow
youtube content writer workflow
  • Reddit Ad Generator: This workflow automates the creation of marketing content by using a product description to find relevant customer pain points on Reddit. It then uses AI to turn those pain points into ranked advertising angles and generates 4-panel comic strip images for each, which are then saved to Google Drive.
Reddit Ad Generator workflow
reddit ad generator workflow
  • Personal AI Assistant: This workflow creates an AI-powered personal assistant that operates within Telegram and can understand and respond to user messages. Based on the user's command, the AI agent can trigger other automated workflows to send emails, manage calendar events, or interact with a database, sending the final result back to the user's chat.
Personal AI Assistant workflow
Personal AI Assistant workflow

What this means for you

So, why am I telling you all this?

Because the content here is about to get a lot more interesting.

We will still cover  Web3 marketing strategies you’ve come to expect. But now, we're going to go deeper. I'll be sharing the complete journey of the projects I'm building, including:

  • Project Breakdowns: Deep dives into the architecture of tools like the monitoring dashboard and the AI workflows.
  • Technical Tutorials: How to set up your own listeners, build APIs, and connect them to a frontend.
  • AI and Automation in Web3: Practical guides on using tools like n8n and AI to create powerful, automated systems for your own projects or marketing efforts.

My focus is on bridging the gap between strategy and execution, and it's time to put theory into practice.

I appreciate your patience—the lab is now open! I've included GitHub links for each workflow, so you can directly import them and get started right away.

For a closer look at what I'm building and to discover how AI automation can be applied to marketing systems, I invite you to subscribe to my weekly newsletter. I promise it will be an exciting journey.

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