Glazed AI

Product Introduction

1. Glazed AI is an AI-powered analytics implementation platform that automatically generates production-ready tracking code from Figma designs. It analyzes design files, suggests relevant tracking events based on existing taxonomies, and creates implementation prompts compatible with AI coding assistants like Cursor, Claude Code, and Replit.
2. The core value lies in eliminating developer dependencies by enabling product and design teams to ship tracked features directly from Figma, reducing implementation time from days to minutes. It bridges the gap between design completion and analytics instrumentation through AI-driven workflow automation.

Main Features

1. Glazed AI automatically analyzes Figma screens to suggest tracking events with proper taxonomy, learning from existing event schemas uploaded by users. This includes identifying interactive elements and proposing event names, properties, and triggers aligned with the organization's existing analytics framework.
2. The platform generates implementation-ready code prompts compatible with major AI coding assistants, including Cursor, Claude Code, Lovable, and Replit. Users can copy-paste these prompts directly into their development environment to generate tracking code without manual engineering input.
3. It provides visual tracking documentation within Figma files, replacing traditional spreadsheets by embedding event specifications directly into design elements. This creates a single source of truth with element IDs, event parameters, and implementation details visible during design reviews.

Problems Solved

1. Glazed AI eliminates coordination delays between product, design, and engineering teams by enabling non-technical teams to implement tracking independently. This solves the bottleneck of waiting for developer resources to instrument analytics in shipped features.
2. The product specifically targets product managers and designers at companies using Amplitude, Mixpanel, or PostHog who need to implement event tracking but lack engineering bandwidth. It serves teams building digital products with complex analytics requirements.
3. Typical use cases include rapidly implementing tracking for new feature launches, maintaining consistency across A/B test variations, and preventing event duplication when multiple teams work on overlapping product areas.

Unique Advantages

1. Unlike manual tracking implementation tools, Glazed AI integrates directly with Figma's design environment and outputs code prompts optimized for modern AI coding assistants. This creates a closed-loop system from design to production code.
2. The platform's AI learns organizational-specific event taxonomies through schema uploads, enabling contextual suggestions rather than generic event proposals. It cross-references existing event libraries to prevent duplication during recommendation.
3. Competitive differentiation comes from combining visual documentation with executable code generation, offering both human-readable specifications and machine-ready implementations. Native integrations with Amplitude, Mixpanel, and PostHog ensure compatibility with existing analytics pipelines.

Frequently Asked Questions (FAQ)

1. How does Glazed AI integrate with coding assistants? The platform generates precise implementation prompts containing element selectors, event triggers, and property mappings that developers can paste directly into Cursor, Claude Code, or other AI-assisted IDEs. These prompts include framework-specific syntax for web and mobile platforms.
2. Can the AI learn our existing event naming conventions? Yes, users can upload current tracking schemas (CSV/JSON) that the system analyzes to maintain naming consistency. The AI cross-references these patterns against new Figma designs to suggest taxonomy-compliant events.
3. Which analytics platforms does Glazed support? Native integrations include Amplitude, Mixpanel, and PostHog, with webhook support for custom destinations. The generated code follows each platform's SDK requirements for event structure and property formatting.
4. What's required to start using the platform? Users connect their Figma account, upload existing tracking schemas (optional), and install the Figma plugin. Implementation prompts can be generated immediately after analyzing design files, with no engineering setup required.
5. How does real-time tracking QA work? The platform monitors implemented events through connected analytics platforms, alerting users about missing events, property mismatches, or data inconsistencies. This validation occurs at both code generation and production runtime stages.