Mr Elokusa · AI & Automation Engineer · Cape Town
Momentum is my mantra. Work is my prayer. Leveling up is just a side effect.
Class: Builder · Alignment: Chaotic Good
Quest Log
AI & automation engineering, tracked the way the games taught me. Light on client names, heavy on things that ship.
n8n automations for retail brands: invoices that send themselves, Monday reports that write themselves, WhatsApp responders that never sleep. Built to hand over, not to rent out.
A storefront assistant on Gemma 4 that reads live product data, answers real questions ("do you have vegan options?"), and adds to cart. Local inference, so the whole brain runs for almost nothing.
An AI strategy hub where long, messy plans become structured, navigable documents. Part tool, part philosophy experiment.
Mr Elokusa
Level ∞ Human · Cape Town
Character Sheet
Sometimes it works, sometimes it doesn't—but I always move forward. I love AI, cloud systems, and weird experiments that somehow make sense.
Mostly, I just love figuring things out while keeping a smile (or a laugh) somewhere in the process.
Build Zone
A messy-but-functional AI strategy hub. This is where I experiment with large language models, prompt engineering, and the philosophy of artificial cognition.
Skill Tree
...but I have frameworks that survive my chaos. Peek inside:
Frameworks for learning faster, staying focused (mostly), and maintaining momentum without burning out. Chaos-tested and approved.
Explore Personal Leveling
4 months ago
graduated recently, onto more!
Observations from a slightly confused human trying to figure out life, tech, and everything in between.
LATESTAgentic coding, not so much a hype term
Okay. So we all know what a context window is and what prompting is but I tried diving really deep into the foundation of how all our favourite models actually work. A very human attempt to understand "Attention Is All You Need"
I built a product chatbot using Gemma 4. A user lands on a vitamins page, asks "do you have vegan friendly options," and the model checks the available product data and answers. From there they can add to cart. Simple concept. The whole inference layer costs nothing. That last part is the story.
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