Method · The framework

From ambiguity to artifact.

A prototype-driven workflow for complex digital products, senior product judgment, accelerated by AI. Understand → Structure → Prototype → Validate → Handoff.

01

Why prototype-driven product work

Static screens are no longer enough for complex product decisions. Realistic, interactive prototypes expose risks, align stakeholders and make trade-offs tangible, long before expensive development begins.

02

Research to product logic

Research, technical constraints and stakeholder input become structured product decisions: information architecture, flows, states and the underlying product logic that everything else is built on.

03

Product logic to prototype

Flows, states and interactions become realistic product artifacts, high-fidelity screens and interactive prototypes that behave like the real thing, not like static mockups.

04

AI-native workflow

AI accelerates exploration and implementation across the entire process, but it is leverage, not a replacement for judgment.

Core principle

AI accelerates exploration and implementation, but product judgment, structure, taste and validation remain human responsibilities.

05

Design system to frontend

The bridge between Figma, component systems, frontend logic and implementation, so design decisions survive the handoff and scale consistently across the product.

06

Validation & handoff

Prototypes support stakeholder alignment, user testing and engineering handoff, turning a shared, testable artifact into clear, build-ready direction.


Let’s move your product from ambiguity to clarity.

Tell me what you’re building, where you’re stuck and what needs to become clearer.