AI SEO Analytics DashboardA B2B analytics tool that consolidates fragmented SEO data into a single, decision-ready interface.
Edition 01. High-Speed Prototyping & System Setup
In the first Editioin, I focused on building a functional SEO Analytics Dashboard from scratch using an AI-native workflow. The goal was to bridge the gap between rapid prototyping and a scalable design system.
March 26, 2026 Read Entry →
Edition 02. Color Variable Refactoring & Custom Automation
In Edition 02, I moved from rapid prototyping to System Consolidation. My goal was to achieve 100% synchronization between code and design to prevent future Design Debt. This entry was a journey of overcoming the limitations of current AI agents and building my own automation tools to bridge the gap between production code and Figma.
April 05, 2026 Read Entry →
Edition 03. Typography Variable System
While building Atomic Components, I realized the typography system wasn't fully synced yet. To fix this, I first defined a new set of typography variables in CSS and manually refactored the entire codebase to replace hard-coded values with these new tokens. Then, I built an "Integrated Injector" to bridge these CSS utilities with Figma Variables, ensuring 100% synchronization and a clean start for the next step.
April 16, 2026 Read Entry →
Edition 04. Automated Atomic Generation
I moved beyond variable syncing to Automated Atomic Generation. I built a pipeline to generate 15 essential atoms (Buttons, Inputs, etc.) directly in Figma. This phase was about overcoming Figma API constraints and making a strategic pivot toward a custom infrastructure to protect my existing code architecture.
April 23, 2026 Read Entry →
Edition 05. Molecule Assembly & Strategic Recalibration
I built the molecule layer of the design system. Seven molecules now exist in Figma as real components, composed from atom instances with token binding. Generating them revealed how far Figma had drifted from the live product. I found and fixed six visual issues: but more importantly, I made a strategic decision: stop chasing pixel-perfect Figma sync automatically, and shift focus to what actually enables consistent design expansion.
May 04, 2026 Read Entry →
Edition 06. Design System Documentation and AI Visibility Page
I wrote DESIGN_SYSTEM.md, used it to generate a new page with Lovable, and shipped something real. I built the AI Visibility page from scratch by combining a detailed design system document with Lovable's code generation and my own correction pass. The page works. And the process taught me exactly where AI-assisted generation breaks down, and why that is not a problem to eliminate but a gap to manage.
May 21, 2026 Read Entry →
Edition 07: Content Ops Page and Platform Color System
I built the Content Ops page solo, without Lovable, and shipped it. Then I stepped back and looked at the whole dashboard as a system and found it wasn't one. Platform colors were duplicated across files, the same data was being visualized twice, and two pages were computing the same metric with different formulas. Building a new page is straightforward. Making it belong to the same product as everything else is the real work.
June 3, 2026 Read Entry →