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Product Designer for
AI-native systems
rachele
sipione
I am a multidisciplinary designer with years of experience across architecture, urban research, and AI-powered product development, translating complex spatial, analytical, and technical systems into intuitive products and clear, usable experiences.
I design at the intersection of UX/UI, systems thinking, and AI workflow architecture, shaping interfaces, prompt-driven systems, feature definitions, and cross-functional product development.
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Trained as an architect and now working as a product designer for AI-native systems, I bring together visual design, systems thinking, communication, and coordination. For the past 3 years, I have worked at Diald.AI, where I have built products across interface, logic, and automation.
Trained as an architect and now working as a product designer for AI-native systems, I bring together visual design, systems thinking, communication, and coordination. For the past 3 years, I have worked at Diald.AI, where I have built products across interface, logic, and automation.
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HIGH
Concept
HIGH
Communication
My background in architecture shaped the way I work as a product designer today. Across academic and professional work in Italy, Brazil, and Los Angeles, I built a multidisciplinary design experience grounded in form, systems, spatial reasoning, visual communication, and execution. My portfolio spans speculative design, research, and professional work on architectural and urban-scale projects.
Architecture & Visuals
The Foundation : Form, Systems, Design, Communication
Conceptual Space / Built Reality
50%
Frontend
50%
Backend
At Diald, I worked on extending the product beyond one-time report delivery into a more interactive experience. In this phase, I led the visual design and system strategy of a property-monitoring dashboard and translated static report information into dynamic, recurring, and interactive data views. The feature layer was designed to surface qualitative updates across daily, weekly, monthly, and yearly timeframes.
The Diald Feature Development
The Factory : Building Layers
Machine/Human-facing Layers
25%
Frontend
75%
Backend
Diald was first built behind the scenes. Before it became a polished product, it had to become a working machine: a backend system made of code sequences, prompt-driven flows, data dependencies, and output logic. I defined core parts of that structure and worked across system design, prompt curation, workflow logic, and implementation management.
The Diald Structure
The System : Behind the Scenes
Machine-facing Layer
55%
Frontend
45%
Backend
The Diald Report is the product’s main output: a long-form real estate research document combining financial analysis, market data, comparables, contextual findings, qualitative SWOT analysis, and a resulting Diald Score. I led the visual design of the report layout, the content reorganization and formatting, and evolved it from an early PDF printout into a structured, readable, and increasingly automated product output.
The Diald Report
The Output : the Second Experience
Human-facing Layer, UX/UI
65%
Frontend
35%
Backend
Diald AI is an AI-powered real estate research platform that generates financial and qualitative property reports within hours from folder creation. I built its first user-facing product layer: account access, folder creation, dashboard navigation, portfolio organization, and report delivery. I led the visual design of the interface and defined the input logic that turned a complex backend workflow into a usable product.
The Diald App
The Input : the First Experience
Human-facing Layer, UX/UI
view case study
63%
frontend
37%
backend
test - Diald AI is an AI-powered real estate research platform that generates financial and qualitative property reports within hours from folder creation. I built its first user-facing product layer: account access, folder creation, dashboard navigation, portfolio organization, and report delivery. I led the visual design of the interface and defined the input logic that turned a complex backend workflow into a usable product.
The Diald App test
The Input : the First Experience t
human / machine-facing
view case study
63%
frontend
37%
backend
test - Diald AI is an AI-powered real estate research platform that generates financial and qualitative property reports within hours from folder creation. I built its first user-facing product layer: account access, folder creation, dashboard navigation, portfolio organization, and report delivery. I led the visual design of the interface and defined the input logic that turned a complex backend workflow into a usable product.
The Diald App test
The Input : the First Experience t
human / machine-facing
view case study
63%
frontend
37%
backend
test - Diald AI is an AI-powered real estate research platform that generates financial and qualitative property reports within hours from folder creation. I built its first user-facing product layer: account access, folder creation, dashboard navigation, portfolio organization, and report delivery. I led the visual design of the interface and defined the input logic that turned a complex backend workflow into a usable product.
The Diald App test
The Input : the First Experience t
human / machine-facing
55%
Frontend
45%
Backend
The Diald Report is the product’s main output: a long-form real estate research document combining financial analysis, market data, comparables, contextual findings, qualitative SWOT analysis, and a resulting Diald Score. I led the visual design of the report layout, the content reorganization and formatting, and evolved it from an early PDF printout into a structured, readable, and increasingly automated product output.
The Diald Report
The Output : the Second Experience
Human-facing Layer, UX/UI
65%
Frontend
35%
Backend
Diald AI is an AI-powered real estate research platform that generates financial and qualitative property reports within hours from folder creation. I built its first user-facing product layer: account access, folder creation, dashboard navigation, portfolio organization, and report delivery. I led the visual design of the interface and defined the input logic that turned a complex backend workflow into a usable product.
The Diald App
The Input : the First Experience
Human-facing Layer, UX/UI
65%
Frontend
35%
Backend
Diald AI is an AI-powered real estate research platform that generates financial and qualitative property reports within hours from folder creation. I built its first user-facing product layer: account access, folder creation, dashboard navigation, portfolio organization, and report delivery. I led the visual design of the interface and defined the input logic that turned a complex backend workflow into a usable product.
The Diald App
The Input : the First Experience
Human-facing Layer, UX/UI
55%
frontend
45%
backend
The Diald Report is the product’s main output: a long-form real estate research document combining financial analysis, market data, comparables, contextual findings, qualitative SWOT analysis, and a resulting Diald Score. I led the visual design of the report layout, the content reorganization and formatting, and evolved it from an early PDF printout into a structured, readable, and increasingly automated product output.
The Diald Report
The Output : the Second Experience
Human-facing Layer, UX/UI
25%
frontend
75%
backend
Diald was first built behind the scenes. Before it became a polished product, it had to become a working machine: a backend system made of code sequences, prompt-driven flows, data dependencies, and output logic. I defined core parts of that structure and worked across system design, prompt curation, workflow logic, and implementation management.
The Diald Structure
The System : Behind the Scenes
Machine-facing Layer
50%
frontend
50%
backend
At Diald, I worked on extending the product beyond one-time report delivery into a more interactive experience. In this phase, I led the visual design and system strategy of a property-monitoring dashboard and translated static report information into dynamic, recurring, and interactive data views. The feature layer was designed to surface qualitative updates across daily, weekly, monthly, and yearly timeframes.
The Diald Feature Development
The Factory : Building Layers
Machine/Human-facing Layers
HIGH
concept
HIGH
communication
test - Diald AI is an AI-powered real estate research platform that generates financial and qualitative property reports within hours from folder creation. I built its first user-facing product layer: account access, folder creation, dashboard navigation, portfolio organization, and report delivery. I led the visual design of the interface and defined the input logic that turned a complex backend workflow into a usable product.
Architecture & Visuals
The Foundation : Form, Systems, Design, Communication
Conceptual Space / Built Reality
AI-Native Product Design
UX/UI Design
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