Applied AI Lab • Autonomous Creative Systems • Smart Living AI

Building AI systems that move from idea to real-world operation.

Mert Bileydi MBAI Automation develops experimental yet practical AI systems connecting memory, reasoning, automation, creative operations and human-approved decision workflows.

K.U.B.R.A. Genesis V14 prototype Lina Kaya live AI artist operation Living Home AI smart living track

> K.U.B.R.A. AGI — Genesis V14

Knowledge Unit Based Reasoning Automaton

Persistent Memory: active

Approval-Gated Decisions: active

First Demo Track: Lina Kaya Campaign Manager

Working title / project codename. The commercial name will be finalized after trademark and legal review.

AI Labs

Three connected product tracks.

Each track proves a different side of the same operating thesis: AI systems become valuable when they can remember, reason, act with approval and produce measurable outcomes.

Lina Kaya

Autonomous AI Artist / Virtual Music Project

A live creative operations case study: music release planning, Instagram growth, Linktree conversion, DJ promo operations, Spotify pitch workflow and campaign analytics.

View case study →

Living Home AI

Smart living automation architecture

A later demonstration track for AI-assisted home automation using natural-language scenarios, sensor context, local intelligence and human-approved actions.

View concept →

K.U.B.R.A. AGI

Genesis V14 is not positioned as a generic chatbot.

K.U.B.R.A. AGI is a project codename for a Knowledge Unit Based Reasoning Automaton: an AI decision architecture that turns information into traceable knowledge units, reasons over them, evaluates risk and requests human approval before critical actions.

The current system direction uses a hybrid setup: a local laptop acts as the control console, while GPU-heavy model workloads are designed to run through cloud infrastructure.

Knowledge UnitsSource-aware, confidence-scored and project-linked information blocks.
Persistent MemoryLong-term project memory and session continuity.
Vector RetrievalLocal multilingual embeddings and searchable project knowledge.
Quarantine LearningNew web or external knowledge enters review before training use.
Patron-Judge ApprovalCritical actions remain human-approved, not uncontrolled.
Audit Log ReadinessDecisions, sources, risks and actions can be recorded and reviewed.

Live Case Study

Lina Kaya: autonomous AI artist operations.

Lina Kaya is the market-facing creative case study for MBAI Automation. It demonstrates how AI-supported workflows can coordinate creative identity, music rollout, advertising, link conversion, DJ outreach and performance tracking.

28.3K+Instagram ad impressions
+433Follower growth during campaign window
42+DJ / beach club outreach targets contacted
LiveLinktree, Spotify pitch and promo workflow
Natural Language ScenariosHuman-friendly commands instead of device-by-device control.
Sensor-Aware DecisionsOccupancy, security and comfort context before automation.
Approval GatesRisky or irreversible smart-home actions remain human-approved.

Living Home AI

AI-assisted smart living systems for residential environments.

The Living Home AI track focuses on turning home automation from isolated device control into a context-aware living experience. It is planned as a later demonstration layer after the Lina Kaya campaign manager demo.

Infrastructure Roadmap

Scaling from prototype to reliable AI operations.

K.U.B.R.A. Genesis V14 currently runs in a hybrid setup. The next phase focuses on scaling memory evaluation, inference, LoRA experiments, multimodal testing, agent simulation and demo deployment through cloud GPU infrastructure.

This is an infrastructure roadmap, not a donation request. Partnership conversations are focused on technical scaling, startup programs, AI cloud access and responsible deployment.

CurrentLocal 6GB GPU laptop as control console
NextCloud GPU workloads for model evaluation and demo deployment
Target GPU ClassNVIDIA H200-class infrastructure for high-memory experiments
First DemoLina Kaya autonomous AI artist campaign manager

Public Benefit Direction

Applied AI for education, creative work and smarter living.

The long-term direction is to build an AI lab infrastructure that can support accessible AI education, creative production workflows, smart living research and responsible automation. This public-benefit angle will be documented separately for social-impact partners and sponsors.

Contact

Partnerships, AI automation and technical collaboration.

For AI automation projects, creative AI operations, smart living AI systems, technical collaboration or startup ecosystem conversations.