TECHNICAL PORTFOLIO

🎵 Blockarized Lyrics POC

Advanced AI-assisted lyric generation demonstrating modular prompt architecture, multi-agent orchestration, and sophisticated state management for creative applications.

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81%
Optimization
22+
Prompt Modules
5+
LLM Models
15k
Vector Assets

Core Innovations

Replacing monolithic prompts with composable modules to reduce token usage and increase control

Multi-Agent Pipeline

Agent A plans segments. Agent B decomposes bars. Agent C generates prompts. Distinct focus at each creative stage.

Modular Prompting

Dynamic context assembly. Instead of 4000 tokens of history, inject only the 22 relevant modules for each task.

Mechanical Tags

50+ structural tags for movement, timing, and texture control. Direct the feel before generation.

Canvas System

DAW-inspired interface with Solo, Mute, Lock controls. Granular state management without external libraries.

Multi-Provider

Switch between OpenAI, Anthropic, and open-source models. Unified interface with normalized outputs.

Client-Side Logic

Browser-based processing with IndexedDB snapshots. Reduces server dependency.

Technical Architecture

Built on a Flow Control premise, treating lyrics as structured data blocks with metadata rather than unstructured text.

Strict Typing

No any types. Zod schemas validate all LLM outputs.

Hybrid Vector Search

DynamoDB for metadata, OpenSearch for k-NN retrieval.

System Stats

Prompt Modules22
Mechanical Tags50+
State Hooks100+
Vector Dimensions1536
DatabaseSingle-Table

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