Krista Taylor
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AI → PRODUCTION · INDEPENDENT · 2026
COMPANY
Independent
YEAR
2026
ROLE
Product Designer / Builder
FOCUS
0→1 · AI-assisted delivery
The experiment asks a practical question: how much translation can be removed between product thinking and working software while preserving strong design judgment and strategic intent?
The opportunity spans requirements, product framing, interaction design, prototyping, code, and production constraints. The workflow is intentionally designed as a connected operating model rather than a collection of AI tools.
0→1
NEW WORKFLOW
AI
CLAUDE + KIRO
Prototype
→ PRODUCTION
01
Use AI to compress translation, not thinking
Keep product framing and judgment human-led while using AI to accelerate execution and exploration.
02
Prototype the hard part early
Move quickly into working interaction so product questions surface before polished design investment.
03
Keep the path to production visible
Design prototypes with implementation constraints in view so the artifact can move closer to build.
The workflow connects strategy, requirements, prototype, and code in a tighter loop. Each stage produces an artifact that is useful to the next rather than requiring a full translation reset.
Manual workflows
Fragmented tools
Operational handoffs
AI-assisted product loop
Reusable capabilities
Shared patterns
Scalable delivery
This case study is less about a single shipped product and more about demonstrating a modern product-design operating model: broader exploration, faster iteration, and less loss between intent and implementation.
Faster
EXPLORATION
Closer
DESIGN ↔ BUILD
More
WORKING PROTOTYPES