Overview

I leveraged models such as Google Gemini for high-velocity AI code generation to architect an innovative data visualization platform. By applying a "vibe-coding" methodology, I transformed a rudimentary internal data pull into a sophisticated dashboard that provides a visual and intuitive overview of how AI tools are being utilized across the agency.

Data Ingestion and Visual Architecture

The platform was engineered to handle raw telemetry data from a standard .csv format, covering a wide spectrum of internal AI activity.

• Multimodal Tracking: I designed the interface to categorize and display usage metrics for image generation, video creation, and agent interactions.
• Intuitive UI Logic: I utilized Gemini to generate the front-end code, ensuring that complex data sets were rendered as clear, scannable visualizations rather than dense spreadsheets.

Advanced JavaScript Integration and Report Engineering

To move beyond a static screen, I implemented custom functional libraries to ensure the data was portable and shareable.

• Automated PDF Generation: I leveraged AI to integrate the html2pdf JavaScript library, enabling a native print-to-report function.
• Shareable Intelligence: This feature allows any user to instantly generate a professional, formatted report of AI utilization for immediate distribution via email to stakeholders or finance teams.

Strategic "Vibe-Coding" Execution

By using natural language intent to drive the development process, I was able to bypass traditional coding bottlenecks.

• Rapid Prototyping: I moved from the initial data pull to a functional, interactive dashboard in a fraction of the time required for manual development.
• Iterative Refinement: I used Gemini to troubleshoot and optimize the data-handling logic, ensuring the dashboard remained performant even as the volume of AI usage data grew.

Strategic Result: Documented Operational Insight

The dashboard serves as a mission-critical tool for assessing the ROI of the agency's AI investments.

• Usage Transparency: It provides leadership with a transparent and documented view of which tools (like Synthesia, Midjourney, or custom agents) are driving the most value.
• Data-Driven Scalability: By identifying high-usage areas, the agency can make informed decisions about future hardware acquisitions or software seat expansions.

Key Insight: Raw data is only valuable if it is readable. By architecting a custom visualization layer for our AI telemetry, I provided the agency with a transparent and documented map of our digital transformation, turning a simple .csv file into a strategic growth tool.