Senior Product Designer · Rapid AI Prototyper

Krissie Shelley — Senior Product Designer & Rapid AI Prototyper

I turn ambiguous emerging technology into clear, testable product experiences — combining deep UX judgment, visual craft, and enough development fluency to build working concepts, not static mockups.

BuildsWorking AI prototypes
Designs forUncertainty · Human review
Shipping since1998
Vol. XXV / No. 01
01A note from Krissie

Static mockups can't tell you how an AI product will behave. Working concepts can.

AI products are non-deterministic: answers stream, stall, drift, and sometimes fail confidently. A click-through prototype hides all of that. I build working concepts so teams can test the real behavior — latency, uncertainty, permissions, and recovery — before committing to a roadmap.

I started hand-coding sites in 1998, then spent years designing and engineering complex SaaS for regulated industries. That combination — UX judgment, visual craft, and enough development fluency to ship — is what lets me move from ambiguous idea to testable product in days, not quarters.

02Working prototypes

Prototypes that run, so the hard questions surface early.

FrizzleNet place-based learning agent prototype

Prototype 01 · Agentic learning

FrizzleNet

Read case

A place-based learning agent that turns a family's real surroundings into guided activities — built as a working, deployed prototype rather than a deck.

What it taught me

01 — Uncertainty & fallbacks

Sparse location data and vague requests are normal, not edge cases. The agent offers a safe default activity and asks one clarifying question instead of guessing or stalling.

02 — Human review & permissions

The parent stays in charge. Suggestions are proposals — adults approve, swap, or skip each activity before anything is shown to a child.

03 — Pacing & cognitive load

A live load gauge showed that fewer, calmer steps beat clever ones. Speed of response mattered more than depth of reasoning for this context.

Try the live demo Kaggle × Google AI Agents Capstone · 2026

More prototypes in progress — each documented with what it tested, what broke, and what changed.

03How I design AI

Designing for the moments the model gets it wrong.

Uncertainty & failure states

I design the path for when the model is unsure, slow, or wrong — so trust survives the bad moments.

  • Confidence cues and plain-language caveats
  • Graceful fallbacks when data or the model fails
  • Clarifying questions instead of confident guesses
  • Easy retry, edit, and undo

Permissions & human review

Agents should earn autonomy. I define when the system suggests, when it asks, and when it may act.

  • Approval gates before consequential actions
  • Tiered permissions for what an agent can touch
  • Reviewable diffs and clear audit trails
  • Always-visible override and stop controls
04Shipped product judgment

Fast experiments are only useful if you know what it takes to ship.

Years of shipping audit, compliance, and analytics platforms — permissions, data governance, edge cases, accessibility — are what keep my rapid AI concepts grounded in how real products behave in production.

05Curriculum vitae

A working history across studios, startups, and enterprise.

  1. 2023 —

    Naturally Human Designs — AI Experience Designer & Principal Design Technologist

    AI-native studio focused on human-centered AI products, rapid prototyping, and digital transformation.

    • Shipped a place-based experiential learning agent on Google ADK + Antigravity (Kaggle Vibe Coding Intensive) with custom prompt frameworks, state-machine execution payloads, and HITL feedback loops.
    • Architect multi-step prompt workflows and interactive feedback loops for agentic AI applications, reducing cognitive load and driving engagement.
    • Leverage LLM-powered prototyping (Lovable.dev, Cursor, Claude Code, Google ADK) to ship production-ready web applications on compressed timelines.
    • Designed secure multi-client digital platforms integrating Resend automation, Supabase backends, and Google Analytics to continuously optimize UX.
    • Led divisional rebrand and end-to-end digital transformation for Vet-Ray by Sedecal — admin dashboards, lead-tracking tools, and user behavior flows.
    • Facilitate discovery workshops with stakeholders to map complex workflows, validate AI use cases, and align technical capability with real-world needs.
  2. 2022 — 2023

    SalesRabbit — Senior Product Designer

    B2B SaaS sales engagement platform serving thousands of field sales reps.

    • Bridged product, design, and engineering through a legacy-to-React platform transition with scalable design standards.
    • Built high-fidelity prototypes and internal tools that streamlined B2B pipeline management and reduced partner integration friction.
    • Ran deep qualitative research with field sales clients, translating friction points into features that improved retention.
    • Partnered with product management and engineering leaders to deliver complex, high-priority features aligned to business strategy.
  3. 2021 — 2022

    Freelance UX Design — UX Strategist & Consultant

    Partnered with early-stage startups to simplify complex, data-heavy SaaS platforms.

    • Overhauled the Blubrry Podcast Services analytics dashboard, turning complex creator metrics into decision-driving visuals.
    • Designed streamlined grant-application flows for FarmRaise, simplifying federal compliance forms for farmers.
  4. 2019 — 2021

    Suralink — UX Designer

    B2B SaaS audit request management platform for accounting firms and their clients.

    • Established the organization's first scalable design system and component library with WCAG accessibility built in.
    • Designed secure file-sharing and document-exchange workflows compliant with HIPAA and financial regulatory standards.
    • Owned end-to-end design for dashboards tracking multi-stakeholder audit requests, reducing operational friction.
  5. 2014 — 2019

    Nav Technologies — Senior Product Designer

    Fintech platform helping small business owners understand and build business credit.

    • Designed data-dense dashboards that demystified business credit profiling into clear, actionable steps.
    • Shipped iterative improvements to a multi-sided marketplace matching businesses with credit and lending products.
  6. 1998 — 2014

    Various — Web Developer & Designer

    Foundational years — hand-coded HTML/CSS websites that shaped a lifelong sense of how code constraints shape UX.

    • Evolved from hand-coding into visual design, branding, and UX strategy.
    • Built the technical intuition that enables seamless collaboration with AI architects and engineers today.
06Capabilities

What I bring into every engagement.

01 — AI Experience Design

  • Prompt engineering & workflows
  • Human-AI interaction models
  • HITL workflows
  • Agentic AI UX
  • Escalation & override mechanisms
  • Feedback loop design

02 — Product Design & Strategy

  • End-to-end UX/UI
  • User research
  • Rapid prototyping
  • Journey mapping
  • Design systems
  • Stakeholder facilitation

03 — Frontend & AI Prototyping

  • React
  • Tailwind CSS
  • Lovable.dev
  • Cursor
  • Claude Code
  • Google ADK
  • Supabase
  • API integrations
  • Semantic HTML5/CSS3

04 — Design & Collaboration Tools

  • Figma
  • Miro
  • Framer
  • Adobe Creative Suite
  • Affinity
  • Jira
  • SCRUM
  • Git

05 — Accessibility & Compliance

  • WCAG accessibility standards
  • HIPAA
  • Financial regulatory compliance

07 — Let's talk

Let's build
something.

linkedin.com/in/krissieshelley

West Valley City, UT · Open to 100% remote