Trustful Robot Business Cards

Trustful Robot aka Patrick Morrissey | Digital Shamanism

I'm Patrick Morrissey and, for over 20 years, I have provided development services across the full stack. I've also, at times, served as a content author as well as a liaison with website clients. As such, I feel that I have a deep sensitivity to the entire spectrum of perspectives of those involved in the complete life-cycle of a website.

I seek to create web experiences that are not only elegant for users and content authors but also a delight with which to work for fellow developers, based on a rock-solid foundational knowledge of semantic HTML, CSS, and Javascript.

I am a voracious and insatiable learner, constantly searching for increasingly optimal paths and revolutionary insights.

Technology

My current preferred tech stack:

  • Svelte, Sveltekit, and TypeScript for framework and interactivity
  • Tailwind for styling
  • Shopify for e-commerce
  • Prismic for content management
  • WordPress for blogging
  • Netlify for hosting
  • AWS for cloud computing

I'm currently learning:

I've worked with many technologies and systems over the years and am expanding into:

  • High-quality audio projects using WebAssembly generated with Cycling74's RNBO
  • Interactive 3D with ThreeJS
  • Web Animations API with Motion One
  • Generative 3D with Houdini
  • 3D rendering in Octane

Work

  • Pepsico Design + Innovation

    Fully-custom Drupal development

  • ByHeart

    Fully-custom Shopify development

  • Lokai

    Fully-custom Shopify development

  • Neighborhood Goods

    Fully-custom Shopify development

  • Health-Ade

    Fully-custom Shopify development

  • Super Coffee

    Fully-custom Shopify development

  • Link-Belt Excavators

    Fully-custom WordPress development with personalized content builder

  • Virginia Spirits Association

    Fully-custom WordPress and Google Maps development

  • Fractal Static

    Web Audio application that recreates a legacy CSound patch using Svelte to host a custom RNBO WASM audio component

  • Windmill Air

    Fully-custom Shopify development

  • Nori Hall Photography

    Gatsby and React development with content management in Prismic

  • Granulata

    Website to accompany exhibit at The 2020 Music, Art, and Technology Fair at Georgia Tech

Contact

Origin Story

So what exactly does Trustful Robot mean and from where did the name come?

For the meaning, I'll leave you to decide for yourself what it could mean but, as for its conception, it emerged from an agency talk that I was leading on computational creativity. I spoke of what actually constitutes "creativity" from a computer or scientist's perspective and provided examples of specific methods and procedures that allow one to collaborate with Chance. As a final group exercise, we all created our own fold-in prose experiments (instructions below) in order to generate a new WiFi password for the office. "Trustful Robot" was the phrase that we collectively manifested and I began to really like it as an abstract idea.

You can view the slides that accompanied my talk in this PDF:

the_unseen_collaborator.pdf

Instructions for generating your own cut-up/fold-in experiments:

  1. Choose 2-3 text sources (anything written - novels, technical manuals, journal entries, news articles, advertisements, total gibberish, etc). I enjoy trying to make these as wildly different from one another as possible but you're the mastermind here - play by your own rules.
  2. Take a single piece of paper and fold it into as many equal columns as you have text sources. Lined paper will help but isn't required.
  3. Find sections from each text source that you would like to "sample" and then, one source per page column, begin transcribing each source passage onto your folded paper by hand. The more source text you have for each column, the more raw material you are adding in to the machine to be processed.
  4. Unfold your paper after you have finished transcribing your single source texts and then read across the page as you would normally. You will mostly get a bunch of garbage, garbled nonsense out but, if you're willing to sift through the results, I've found that I almost always generate something interesting and curious and new with this process. Be open-minded to delight and wonder.