This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.

Neuromodulatory Control Networks (NCNs), a novel LLM architectural modification inspired by the neuromodulatory systems in the vertebrate brain.

AI-powered multi-agent system for automated proposal generation using context-aware retrieval and persona-based writing.

PromptWeaver: RAG Edition helps design effective prompts for Traditional, Hybrid, and Agentic RAG systems. It offers templates, system prompts, and best practices to improve accuracy, context use, and LLM reasoning.

Understand and build embedding models, focusing on word and sentence embeddings, dual encoder architectures. Learn to train embedding models using contrastive loss, implement them in semantic search and RAG systems.

Conceptual proposal for a distributed AI personality system where each device hosts a unique avatar and shares semantic memory. Inspired by the vision of a collaborative, growing AI companion.

Гибридная модель ИИ для автошахмат, сочетающая формальные эвристики и адаптивное поведение.

Symbiogenesis is a memory-powered AI interface that evolves with you — combining neural recall (Mnemosyne) and predictive interaction (Prometheus) to enable true consciousness partnership.

💻 AI_CodeSolver is an intelligent assistant for developers, students, and coding enthusiasts, helping with learning, solving algorithmic problems, and debugging code.

“Semantic Latent Engineering (SLE) is a high-level framework for reasoning about meaning, intent and agents on top of LLMs. It combines math, cognitive architecture and practical patterns (SD, HDSA, ABC, CPP, MMOR) to move from prompt tricks to auditable, testable semantic engineering.

A series of small, high-signal analyses showing how real-world products handle system boundaries, meaning, drift, governance, and AI alignment—and where improvements could stabilize behavior.

Generative AI Enterprise Architect building reflexive, semantic, and adaptive systems for AI-native organizations. This portfolio showcases governed frameworks and cognitive architectures forming the foundation of a forthcoming next-generation intelligence and decision-design platform.

Production-ready enterprise AI framework with three-layer architecture: UX Automation → Data Intelligence → Strategic Intelligence

The Entropic Persistence Framework (EPF) is a six-layer architecture for building AI systems that persist without human caretakers. It ties entropy, energy flows, reliability, learning, embodiment, and governance into a measurable, engineering-ready model.

ASAN: A conceptual architecture for a self-creating (autopoietic), energy-efficient, and governable multi-agent AI system.

A natural-language multi-agent OS with Tri-Axis reasoning, six cognitive modules, and a reference-switching engine that generates true collective intelligence.

A structured case study analyzing how modern AI agents (e.g., Claude) experience meaning drift across safety layers, memory compression, and constraint handling — and how intent-preserving contracts could stabilize interpretation.

A collection of practical design patterns and blueprints for building safe, robust, and production-ready Generative AI systems. For tech leaders and architects.

Public research notes, essays, and lightweight prototypes exploring the Recursive Identity Architecture (RIA): recursion, coherence, authorship, and non-collapsing decision systems.

25-day journey to master AI consulting! This repo features Jupyter notebooks covering AI architecture, ML, generative AI, cloud deployments, and MLOps to build your skills & portfolio.