Agentic Trading
For NickAI
Role
Product Designer
Period
2026
Skills Utilized
Overview:
Backstory of the work.
NickAI is an agentic trading platform. You describe what you want to trade in plain English, and Nick, a non-custodial AI agent, turns it into a workflow that it builds, tests and runs across crypto, stocks and prediction markets.
As NickAI's designer in 2026, I worked across its surfaces: the product's design language, chat widgets and portfolio pages, the prototypes that became the spec, the getnick.ai website, and a small content engine for launch visuals.
Prototypes.
Designing in code.
Instead of handing over static mockups, I built working prototypes in code. Engineering then ported the prototype's design system straight into the product, with its tokens, components, typography, icon set and floating-panel app frame.
The sign-in screen shows the approach in miniature. I built its showcase directly in the product: a four-node workflow, drawn like the builder's own node cards, that runs in a loop and reports back on Telegram.

Portfolio.
One book, read two ways.
The portfolio pages read the same book two ways. Simple answers what most people ask, in plain sentences: what the portfolio is worth, how it did against just holding Bitcoin, where the money is and how bumpy the ride has been.
Detailed is for traders: equity and drawdown on one axis, risk-adjusted returns, every workflow with its own sparkline, and a heatmap of how the workflows move together. All figures here are sample data.



Launch films.
Made in Fountible.
For the launch I made short films in Fountible, the design tool I built. Each one tells the product story in seconds: a plain-English request, then Nick building, testing, deploying and supervising the workflow behind it.


The Impact.
Shipping & Outcome.
The design system and the widget designs shipped into the production app, and the same widgets now fill the "Ask a question. Get a chart back." section of getnick.ai, the marketing site I created.
Working this way collapsed the distance between design and engineering. The spec was a working prototype, built with AI coding agents, that engineering could read, run and port instead of interpreting.