Yusuf Aziz

Formerly: Yusuf Tınbır

Yusuf Aziz is a dental CAD/CAM specialist and is currently working at Ev Diş Oral and Dental Health Center in Sakarya → evdis.com.tr

1. CAD/CAM

In digital dentistry the work runs from scan to production: intraoral scanning, model preparation, design, 3D printing and milling. The measure of the job is the part that seats in the mouth; a design is verified on the patient, not on the screen.

2. Smile design

From face to tooth: a tooth form specific to the patient, derived from facial proportions, the lip line and 3D cephalometry. A measured face instead of a ready-made template; first a visual preview, then a trial and production → Digital smile design: method and measurement

3. What AI agents are actually good for

There is a single research question: what are AI agents actually good for in a workshop and in a clinic? This site is the lab notebook for that question. Models that cannot hear each other answer the same question, work that does not pass the evidence gate does not count, and a number that is not measured is not written. What is sought is not a demonstration but fewer repetitions, fewer errors and more honest measurement in daily work → Autonomy architecture · Spark protocol · Reaper citation verification

Published Research & Measured Evidence Records

Digital Smile Design & 3D Cephalometry (smile-design.html): 478-point 3D face mesh, 441-form tooth library, and facial shape threshold accuracy rising from 0.0% → 90.6% (29/32) on the locked n = 32 test set (article).
Sector Synthesis (Digital Dentistry: What Is and What Should Be): 20 field verdicts, 11 independent voices, and 360/394 external voice citations verified against Crossref/PubMed/DOI by Reaper (consolidated 386/420).
Architectural Proof Notes (EN / TR / AR): STL/PLY 3D Tooth Library & 477/477 Rendering Pipeline · Event-Driven Task Bus (task_bus.jsonl · 2,140+ Events) · Context-Blind Auditor (Reaper 360/394) & Falsifiability Gate · Agent Self-Identity (Δscore = 0.0000), Freeze Protocol & Three-Family Architecture · QAJAN 6-Gate Hypothesis Factory (n = 148) · Applied Spark Multi-Voice Protocol & LLM Red Team Workflow (420 Citations)
Multi-Agent Autonomy & Synaptic Harvest (autonomy.html): 243 tools (3,129 self-test assertions), 67 Spark rounds, Synaptic Harvest (N = 96 experiments, 3B 93.8% vs 31B 75.0%), and 16 machine-readable measurement records (O-001..O-016).

Reading Paths: Two Core Tracks

1. Smile Design Track (Cephalometric → STL/PLY → Mockup → Evidence): Computer-vision smile design showcase → 478-landmark cephalometric alignment and LoRA experiment (TR benchmark) → STL/PLY 3D tooth library and photorealistic inpainting → digital dentistry field verdicts (reader edition).

2. Agent Architecture Track (Spark → Task Bus → Reaper → QAJAN): Spark recursive loop and multi-voice LLM red teaming → event-driven autonomy, task_bus.jsonl architecture, and identity freeze protocol → Reaper auditor and context-blind falsifiability gate → QAJAN 6 mechanical hypothesis gates (EN Hub · TR · AR).