Applied AI systems built and operated by ABXK.AI. Explore AI text detection, trading platforms, and analytics tools.
This page documents applied AI systems built and operated by ABXK.AI. The projects listed here aren’t products or tutorials — they’re real systems created to explore how AI performs in practical settings, under real constraints such as data quality, cost, reliability, and long-term operation.
Each project focuses on applying AI within a specific domain: creative workflows, data-driven research, or experimental modeling. The emphasis is on system design, evaluation, and decision-making rather than on tools, trends, or theoretical results.
Some projects are active, while others are experimental or research-focused. All serve the same purpose: to test assumptions, understand trade-offs, and document what works — and what doesn’t — when AI is applied in real-world workflows.
A generative AI music and DJ workflow exploring structured output, selection, and continuous publishing under operational constraints. This project serves as a detailed case for applied creative AI systems and is referenced in related workflows. (Not a product or service.)
An internal tool to evaluate and score AI-generated text across multiple language models with confidence metrics. Used to analyze model behavior and limitation patterns in language generation workflows. (Not offered as a commercial tool.)
An experimental research platform analyzing market data with neural networks and validation systems. Designed to explore pattern recognition and strategy evaluation under realistic data conditions. (Not a live trading product.)
An advanced analytics system using racing telemetry to optimize performance and model strategy. Built to test modeling approaches in high-dimensional telemetry contexts, not to provide live advice.
