Music With Suno

When Melodies Meet Models

As a longtime guitar player, my background in Human-Computer Interaction naturally led me to explore the intersection of music and AI. While I was initially skeptical of AI’s role in the creative process, using Suno has allowed me to bridge the gap between raw songwriting and professional-grade production. It is a perfect example of how AI can act as a force multiplier for human talent, helping to realize the full potential of a creative spark. Take a listen to some of my experiments with AI-augmented songwriting here.

Custom ‘Gems’ for Human-Centric Design

While AI is often associated with speed and technical automation, I leverage it to enhance the empathy and accessibility of my design work. To maintain a consistent, human-centric voice across my projects, I developed a bespoke "UX Copywriter" Gem within the Gemini ecosystem.

The Objective
Newly developed projects and products often involve technical jargon that can alienate the end-user. My goal was to architect a specialised collaborator capable of translating complex technical specifications into intuitive, humanistic copy that resonates with users on an emotional level.

The Implementation
By engineering a custom Gem with specific parameters for tone and UX psychology, I created a dedicated environment for voice consistency. This ensures that every interface prompt and user touchpoint feels like it was written by a person, not a machine—bridging the gap between back-end logic and front-end clarity.

The Value
This custom tool acts as a specialised editor, allowing me to focus on high-level design strategy while ensuring the user experience remains empathetic and clear. It represents my broader philosophy on AI: not as a replacement for the designer, but as a precision instrument used to amplify the impact of my creative output.

AI Vision 2026

Canva Event in London: The state of AI in 2026

I spent an inspiring day in Greenwich at the AI Vision conference, surrounded by discussions on where the technology is heading next. Being there was a sharp reminder of just how fast this landscape has shifted in only a few short years.

Throughout the keynotes and panels, the central theme was clear: the narrative is moving away from raw generative output and toward solving real, everyday workflow friction for creators and teams. While the usual AI fearmongering was present, the overwhelming mood was one of pragmatic optimism, focusing on how these tools, when designed and applied thoughtfully, can amplify creative work rather than replace it.

One moment stood out in particular. During the first talk of the event, a protester interrupted the stage, shouting to stop AI and demanding stricter regulation. It was a vivid reminder that tech companies are still struggling to communicate what AI actually is. With sensational news breaking every week framing AI as an uncontrollable force and hacking a company or a government institution, industry messaging has inadvertently fueled panic instead of clarity.

Seeing that tension up close reinforced my belief that we need better communication, clearer intent, and thoughtful regulation. As policies and industry standards begin to take shape, I’m optimistic we can steer these tools toward a future that genuinely supports human creativity.

Claude Design & Google Stitch

My design philosophy is defined by a restless curiosity and a commitment to an experimental mindset, particularly as the UX/UI industry faces the AI nowadays. I don’t view generative AI as a finalised toolkit to be passively adopted; instead, I treat it as a high-speed laboratory for creative output. Rather than waiting for established workflows to become the industry standard, I am actively diving into the "sandbox" phase of these technologies to see where they break, where they shine, and how they can fundamentally shift the way we solve complex problems.

Currently, I am using Claude Design to push the boundaries of iterative prototyping. By leveraging it to rapidly map out structural logic, information architecture, and UI layouts, I can visualize multiple UX directions in a fraction of the traditional time. This is allowing me to move past the obvious solutions and dedicate my focus to the nuanced, human-centric interactions that define a premium product. A recent highlight of this exploration was building a custom tool to support my son’s Non-Verbal Reasoning (NVR) practice; I was incredibly impressed by the quality of the logic, content and UI Claude generated, transforming a personal need into a functional, high-fidelity reality in minutes.

Simultaneously, I am experimenting with Google Stitch to investigate how it can bridge the gap between creative assets and streamline the increasingly complex handoff between design and development. My goal is to understand how these tools can act as a sophisticated collaborator—one that helps me fail fast, pivot quickly, and uncover unique UX patterns that traditional, manual methods might overlook. By maintaining this investigative approach, I ensure that my work remains rooted in foundational accessibility principles while being amplified by the latest technical capabilities. For me, the future of UX/UI lies in this harmony: leveraging the power of AI, while reclaiming the designer’s role as the empathetic architect of the user journey.

Gemini Masterclass

A Day at Google London: Inside the Gemini Masterclass

I spent an inspiring day at the Google London office for a Gemini Masterclass, diving into the latest advancements in agentic AI and multimodal workflows. It was a fantastic opportunity to see firsthand how the next generation of Gemini features—specifically around personal intelligence and real-time reasoning—will shift the landscape of design and productivity.

Seeing these technical capabilities in action reinforces my belief that the future of design isn't just about better tools, but about building more intentional, collaborative relationships between humans and AI. I’m excited to start integrating these insights into my work and my upcoming sessions with the design community.

Vizcom

The AI-Enhanced 3D Design Pipeline: Gemini + Blender + Vizcom

In high-stakes hardware design, the ability to communicate a vision with absolute clarity—long before a physical prototype exists—is a massive competitive advantage. For this project, I developed a sophisticated design pipeline that bridges the gap between raw conceptualization and high-fidelity reality, ensuring that aesthetic and functional intent remained aligned from start to finish.

The workflow functioned as a seamless ecosystem, using AI as a force multiplier for creative output.

Conceptualization: Utilized Gemini to assist in the initial brainstorming.
3D Foundation: Developed the core geometry and structural form within Blender.
Rapid Visualisation: Integrated Vizcom as the critical bridge, transforming rough solid renders into professional sketches and photorealistic concepts almost instantly.

By shifting the visualisation process into this AI-driven environment, I streamlined the traditional feedback loop. This enabled me to iterate on materials, lighting, and form at an incredible pace, delivering polished, board-ready visuals under a demanding deadline.

Real-World Impact
The clarity of this creative output was instrumental in communicating the "look and feel" to key stakeholders, securing the approval needed to launch a pilot program at Orlando International Airport (MCO).

The biometric check-in system was tested in a live flight environment to optimize the boarding sequence. The results were definitive: the implementation led to an almost 20% improvement in boarding efficiency, significantly reducing passenger wait times and proving that high-fidelity design thinking leads to measurable operational success.

Figma & AI

Curation vs. Creation: Defining the Designer’s Role in Figma Make

The introduction of Figma Make marks a fundamental shift in how we start designing from scratch. As a Design Lead, I see this not as a replacement for the designer’s intuition, but as a high-speed prototyping partner. By using AI to generate initial layouts and components, we can bypass the repetitive "pixel-pushing" phase and move straight into the high-stakes work: solving complex user flows and refining the human experience.

In my view, the real power of Figma AI isn't in the generation itself—it's in the iteration. It allows us to explore different designs and makes them ready to interact with in minutes, effectively acting as a force multiplier for my creative strategy.

NHS Design Challenge | Google London

Empowering Frontline Workers: AI Solutions for NHS Staff

In April 2024, I participated in a high-intensity, two-day NHS Design Challenge hosted at Google’s London offices. This collaborative sprint focused on leveraging emerging technologies to solve systemic healthcare challenges. During the event, I spearheaded the design of an AI-driven solution aimed at alleviating the administrative burden of workforce management. By exploring how AI can optimise shift distribution, I developed a conceptual mobile application that empowers nurses to browse and claim available work slots in real-time, balancing institutional staffing needs with individual practitioner flexibility.

The final prototype integrated AI-powered scheduling logic with a rigorous approach to healthcare security. I implemented a biometric Face Authentication flow to ensure secure user verification, maintaining compliance with sensitive data standards while providing a seamless user experience. The challenge culminated in a formal presentation to a panel of industry experts, where I demonstrated how human-centered design and AI can work in tandem to improve operational efficiency and staff wellbeing within the NHS ecosystem.

AI Talks

In February 2025, I had the privilege of joining a panel of experts for a 90-minute deep dive into the evolving landscape of Artificial Intelligence. Speaking to a group of about 50 ITU alumni, it was a true full-circle moment for me; as an ITU Master’s graduate myself, there was something uniquely rewarding about sharing the "stage" with my own academic community.

We moved past the usual hype to explore how AI is fundamentally reshaping our daily workflows and lives. My contribution focused specifically on the intersection of AI and design, highlighting how these tools are doing far more than just automating repetitive tasks—they are actively expanding our creative boundaries. Throughout the session, I pushed for a focus on the practical applications that often get overlooked in favor of flashier headlines.

There is a distinct depth to discussing technology with a group of peers who share the same foundational background. It reminded me that while the tech is moving at breakneck speed, the real value isn't in the tools themselves, but in how intentionally we integrate them to enhance our craft and our lives.

Here is the link to the LinkedIn post.

Introduction to AI Talk

Bridging the Gap: AI for the Tech-Forward Professional

As an AI champion at iProov, I led a 60-minute session for 50+ colleagues focused on the practical integration of AI into the modern workflow in 2025. While the audience was highly tech-literate, many were looking for a concrete bridge between AI theory and daily application. This allowed us to skip the basics and dive straight into how AI functions as a force multiplier in a professional setting.

My goal was to move past speculative headlines and focus on immediate, actionable utility. We explored how AI can streamline operations, sharpen decision-making, and act as a collaborative partner in problem-solving. A highlight of the session was a deep dive into Google Gemini ‘Gems,’ where I demonstrated how to build custom agents tailored to specific departmental needs.

Throughout the hour, the shift from skepticism to active curiosity was palpable. It served as a powerful reminder that for tech-forward teams, AI isn't a replacement for expertise—it is the next logical frontier to master.

AI and Breaking Into UX/UI

Interview with A Gen Z Designer

This article tackles the key challenges new designers face in today's rapidly evolving environment. With increasing competition and a growing stack of technologies and tools to master, it's a demanding landscape. I had the opportunity to share my perspective on this important topic. Give it a read if you have 5 minutes.

Here is the link to the interview.

Essential Reading

The Coming Wave

Mustafa Suleyman’s latest work is a compelling argument for the containment and regulation of AI. Drawing parallels to the aviation and automotive industries, Suleyman reminds us that while early innovations often face "bumps"—much like early jet engines—rigorous oversight eventually makes them the safest way to move forward.

As we transition from Narrow AI to Artificial Capable Intelligence (ACI), the technology will become deeply personal and vastly more powerful. Suleyman’s core message is clear: We cannot halt the coming wave, but we must be the architects of its regulation. In the same way we never predicted electricity would power the phones in our pockets, we cannot yet see the full scope of AI's future—making proactive containment a critical priority today.

Needless to say, I highly recommend it for anyone looking to understand the future of AI.

You can find the book here.