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LeonardoErcoli

LE.02 / 05 DOMAINS OF EXPLORATION

LEONARDO ERCOLI · FOCUS ARCHITECTURE

Ideas, systems and experiences worth rethinking.

Five domains where artificial intelligence and emerging capabilities meet real-world business challenges.

DOMAIN 01 · Cognitive Workflows & Agentic Systems

Artificial Intelligence & Generative AI

Foundation models, agentic workflows and practical AI systems built for real work.

Foundation ModelsAgentic SystemsGenerative WorkflowsMultimodal AIContext Architecture

Moving past single-prompt demos toward multi-step agents and reliable AI workflows. I focus on how generative AI shifts from experimentation into everyday decision-making and execution.

GUIDING QUESTIONS

  • Where do AI agents create genuine leverage instead of fragile complexity?
  • How do teams design human oversight for high-stakes decisions?
  • What changes when software shifts from static menus to intent-driven workflows?
Architectural optical glass refraction study in ultramarine and charcoal ink representing structured intelligence.
FIG. 01 — Structured Intelligence & Optical RefractionLE.01

DOMAIN 02 · Operating Models & Measurable Value

Innovation & Digital Transformation

How organizations adopt new technology, redesign workflows and deliver measurable impact.

Operating Model RedesignTechnology AdoptionStrategic RoadmapsValue RealizationDecision Intelligence

Technology adoption rarely fails because of the algorithm—it stalls in legacy habits and fragmented data. Real transformation happens when operating models, teams and incentives evolve alongside the tools.

GUIDING QUESTIONS

  • How do organizations move from isolated AI pilots to adoption at scale?
  • Which business processes should be reimagined from scratch rather than automated?
  • How can strategy teams separate durable shifts from short-term hype?
Minimalist Milanese architectural stone staircase intersected by an ultramarine structural beam.
FIG. 02 — Structural Transformation & ArchitectureLE.02

DOMAIN 03 · Clienteling, Boutique Analytics & Desirability

Fashion, Luxury & Retail Innovation

Clienteling, boutique analytics and digital experiences designed for high-taste brands.

Boutique Retail AnalyticsLuxury ClientelingOmnichannel ExperienceCreative Supply ChainDigital Brand Worlds

In fashion and luxury, technology must elevate desirability, heritage and human touch—never dilute them. From boutique retail analytics to omnichannel clienteling, I explore how AI serves craft and curation.

GUIDING QUESTIONS

  • How can AI augment boutique clienteling without intruding on the luxury ceremony?
  • What does personalization look like when guided by taste rather than algorithms alone?
  • How do physical flagships and digital channels converge into one brand world?
Architectural dark wool-silk weave intersected by a luminous ultramarine optical fiber thread.
FIG. 03 — Tactile Craft & Intelligent RetailLE.03

DOMAIN 04 · New Interfaces, Hardware & Product Systems

Emerging Products & Technology

New interfaces, AI-native tools and hardware shaping the next wave of computing.

AI-Native InterfacesDeveloper & Creator ToolsSpatial & Wearable ComputingProduct ArchitectureHuman-Computer Interaction

A critical lens on the software platforms, interfaces and devices redefining how we interact with technology. Rather than tracking every release, I examine the product choices that make new tools endure.

GUIDING QUESTIONS

  • Which AI-native interfaces genuinely speed up human thinking and agency?
  • How do new hardware form factors change when and how we use computing?
  • What separates durable product ecosystems from short-lived wrappers?
Macro study of precision matte-black aluminum hardware and optical lens with an ultramarine indicator.
FIG. 04 — Precision Interfaces & Product SystemsLE.04

DOMAIN 05 · Prototypes, Workflows & First-Hand Testing

Experiments & Applied Learning

Hands-on prototypes, AI workflows and field notes from testing tools first-hand.

AI WorkflowsHands-On PrototypesPrompt & Context EngineeringField TutorialsTool Benchmarks

The fastest way to understand a technology's real boundaries is to build with it. I test models, agent setups and workflows on concrete problems—sharing both what works and where current tools fall short.

GUIDING QUESTIONS

  • How does a hyped model perform when tested against a real analytical or creative task?
  • How can small teams build modular AI workflows that compound over time?
  • What practical lessons emerge from prototyping and testing first-hand?
Overhead composition of architectural grid paper, drafting instruments and raw ultramarine pigment.
FIG. 05 — Applied Laboratory & Field TestingLE.05

Interested in discussing one of these domains?

Read my ongoing notes on Substack or reach out directly.