Insights¹²

My connection to photography came first through my dad. He had a small film camera when I was about five years old. Like a lot of families in the late '90s and early 2000s, we had…

AI can generate almost anything now. But the hard part is still knowing what makes sense visually, emotionally, and culturally.

We’ve been doing our most meaningful work quietly behind the scenes over the last few years, and we want to change

Case study on Delight → an AI marketing platform redesigned to feel calm, clear, and human. A proof that the new frontier of advanced tech design is normality.

Some weeks, you’re moving fast. A visual lands. The team feels it. The client nods. Done, right? But speed tempts us to mistake intuition for alignment. That’s when we need to pause, lock in, and check: are we still designing or just reacting?

A group chat about pancakes helped me understand neural networks better than any tutorial. It wasn’t the math. It was the mess.

What makes a “good” prompt? It’s not just clarity or clever phrasing—it’s logic, structure, and awareness of how different AIs interpret instructions. We tested the 4-D Methodology (Deconstruct, Diagnose, Develop, Deliver) and came away with a usable mental model for high‑quality, cross‑platform prompts.

Cluely didn’t just grow fast—it proved virality is designable. Here’s what it teaches us about attention, tools, and cultural timing.

The best prompts aren’t one‑liners—they’re conversations. Here’s how long‑form, human‑centered exchanges shape better AI work.

EL FIN on why being business‑first, not just design‑led, has been our long‑term unfair advantage.

Field Notes from EL FIN—learning in public through strategic clarity and transparent insights on building AI‑augmented brands.

EL FIN on why treating AI as a creative partner, not a search bar, unlocks deeper, not lazier, work.