OBJECTIVE

Design an Artificial Intelligence that could be used to guide stakeholders through the Lean UX Canvas process. This custom GPT would focus on uncovering critical insights about users and aligning strategy with business goals. By integrating industry reports, competitive analysis, and UX standards, it would provide a comprehensive plan and recommendations to enhance any business’ strategy, business, research, and design process.

METHODS

Product testing: sentiment, concept testing, CSAT, NPS, PMF

Persona creation and validation

Prototyping and usability testing

Ethnographic studies: Interviews with product owners, designers and UX professionals across multiple industries

Custom Developmeent: Programming, LLM & React integration

STATUS

I am continuing to make iterative improvements. In November 2024, this updated version with a name change was released. User Lens Pro is currently available for general use. Potential partners and developers are invited to explore and provide feedback either directly in the OpenAI Review option or via the UX Inspire Beta Survey.

OBJECTIVE

Develop an AI-driven movie recommendation solution that integrates with multiple streaming platforms, delivering personalized and group-specific suggestions. This custom GPT-powered solution is designed to reduce decision fatigue by offering tailored content recommendations, maximizing viewing satisfaction across all users' preferred genres and platforms.

METHODS

Product Testing: User feedback, satisfaction, and engagement metrics.

Persona Development and Validation: Creating and refining user personas to ensure the system meets diverse user needs.

Custom GPT Programming: Implementation of a specialized language model for movie recommendations.

Responsive Web Design: Development of a React-based app with dynamic UI/UX for various devices.

Multi-User Preference Integration: Algorithms that account for group preferences in recommendations.

STATUS

The project is currently in its Beta phase, with significant progress made in refining the recommendation engine and user interface. The AI GPT model is being tested and is available to try. The React app is being used for UI testing, and feedback is actively being gathered to further enhance its capabilities. Potential partners and developers are invited to explore and provide input to help shape the future of multi-person, multi-streaming video entertainment.

OBJECTIVE

Create a custom AI-driven beer recommendation solution leveraging GPT technology, designed to assist beer enthusiasts with tailored beer suggestions. Enhance user experiences by analyzing preferences, integrating contextual awareness, and providing real-time recommendations. It is designed to delight beer lovers through improved decision-making, education, and discovery, maximizing satisfaction across diverse beer styles and contexts.

METHODS

Contextual Awareness: Location-based and venue-aware recommendations, ensuring users get the best beers available wherever they are.

Menu Scanning and Analysis: Allows users to upload or photograph menus for instant and specific recommendations.

Comprehensive Data Integration: Incorporates user ratings, global beer guidelines (e.g., BJCP), and community reviews to refine suggestions.

Dynamic Interface: Engages users with a fun, intuitive conversational platform.

STATUS

The project is in active development with key features such as preference-based recommendations and menu scanning implemented. The AI model dynamically adapts to user preferences and continues to evolve with feedback. Potential collaborators, beer professionals, and tech enthusiasts are invited to contribute to the GPT's development, ensuring it remains at the forefront of beer appreciation and discovery.