Ryan Gilpatric

AI agents write the code. I decide what ships.

The work

Corsetta's owner brief on an iPad: what needs the owner this morning, from fittings to confirm to pickups waiting, over the boutique's numbers for the week and the month.

Corsetta

An offline-first bridal-shop app currently in pilot, built around appointments, alterations, payments and pickup.

The case study

OpeX Liquidity in a desktop window, showing one stock, UiPath: its daily prices since March drawn over the options contracts open at each strike price, calls in orange and puts in blue, the largest listed down the right with their expiries.

OpeX Liquidity

Open interest is usually shown as a snapshot. OpeX Liquidity shows it as a history: every strike in a stock's option chain, day by day, drawn around the price. You can watch walls of positioning form, grow and fade, and every contract stays in the history even after it expires. Time stays honest too. Nothing appears before the day it was known, so any past session replays exactly as it stood then.

The case study

Writing

  1. When Execution Gets Cheap, Direction Gets Exposed
  2. When the Answer Sounds Finished
  3. How I Build with AI Agents
  4. Building a Market Strength Dashboard: The Full Story

How I work

  1. Start with the person using the product
  2. Turn the outcome into a bounded assignment
  3. Give implementation a clear owner
  4. Review from a separate context
  5. Prove the complete change
  6. Release into the real system

The whole method

The staircase in its concrete lightwell, seen from the one viewpoint where its four flights close into a loop that climbs forever.

Let’s build
something together.

hello@ryangilpatric.com

Or write me a note

Ryan Gilpatric

Let’s hear it.

I answer every note myself.

hello@ryangilpatric.com

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