Standout Public Projects
& Why They Matter

Uncovers real-world drop-offs, accessibility traps, and onboarding friction before human users hit production, generating automated System Usability Scale (SUS) metrics and Customer Effort Scores (CES).

Serves as a reference implementation for grounding LLMs in dynamic web environments with multi-step reasoning, perception feedback loops, and memory.

Prediction markets have rapidly become one of the most volatile and information-dense frontiers in financial ML. This repository provides a complete pipeline for orderbook microstructure analysis, alpha decomposition, calibration, and forecast evaluation without lookahead bias.

Demonstrates high-throughput WebSocket ingestion, real-time state machine design, and deterministic trade execution against decentralized orderbooks.

Addresses one of the biggest frontiers in software engineering: operating system-level agent orchestration. The semantic_fs replaces rigid directory trees with vector-indexed retrieval, providing an architectural blueprint for agent-native operating environments.

Provides a reference implementation for deterministic multi-agent orchestration via MCP 1.3.0. Rather than unconstrained LLM loops, agents query causal graphs, debate across structured operational roles, and enforce verifiable compliance gates.

Features an interactive glassmorphic cockpit with Server-Sent Events (SSE) telemetry, real-time graph visualization, and Diátaxis-compliant technical documentation.

Combines LLM-driven web crawling, prompt expansion, and native protocol integrations (IMAP/SMTP draft generation) into a unified, privacy-first local server architecture.

Replaces naive lagging indicators with adaptive regime-conditional scoring. Connects directly to desktop MetaTrader 5 via IPC sync loops to produce a live confidence score matrix.

Serves as a masterclass in modern agentic skill authoring for Claude Code. Demonstrates how to write deterministic YAML contracts, chain multi-step workflows, and build tool calling interfaces for local agent runtimes.

Provides unconstrained access to historical on-chain orderbook event logs and trade records for backtesting and predictive modeling.

Eliminates manual timeline scrubbing by providing programmable cuts, automated silence removal, multi-modal asset synthesis, and instant export.

Bridges generative LLM reasoning with real-time media manipulation pipelines via declarative execution schemas.

Compresses outbound response times from hours to seconds while adhering to rigorous Diátaxis framework documentation structures.

Demonstrates persona-driven prompt engineering and real-time structured LLM formatting for high-stakes business communication.

Runs natively within existing Eloquent models, migrations, and tenancy architectures. Eliminates recurring third-party SaaS fees (Salesforce, HubSpot) and removes brittle webhook synchronization lag.

Exposes a comprehensive REST API v2 with machine-accurate contract schemas, reactive Livewire components, and event-driven automation hooks for outbound and inbound marketing workflows.