Yusuf Aziz

Yusuf Aziz (Tınbır) 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 workflow runs from intraoral scan to clinical delivery: digital impressions, model preparation, CAD design, 3D printing, and milling. The true measure of a restoration is passive fit in the mouth; a design is proven on the patient, not on the monitor.

2. Smile design

From face to tooth: patient-specific tooth morphology derived from facial proportions, lip dynamics, and 3D cephalometry. Measured facial geometry instead of stock templates—starting with a visual preview, followed by an intraoral mock-up and final production → Digital smile design: method and measurement

3. What AI agents are actually good for

Our research centers on a single question: what do AI agents genuinely solve in a dental laboratory and a clinic? This site is the lab notebook for that inquiry. Isolated models answer the same prompt independently, no output counts unless it clears the evidence gate, and no unmeasured number is ever published. What we seek is not a flashy tech demo, but fewer revisions, fewer clinical errors, and rigorous measurement in daily practice → 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, parametric-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 & 476/477 Rendering Pipeline · Event-Driven Task Bus (task_bus.jsonl · 2,344 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): 262 tools (3,313 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).
Atlas Analiz · Multi-Agent Build: the site analysis engine (10 SEO + 8 GEO criteria, a reader question and one-line verdict per page, a health-advertising recommendation filter) and its mobile app were written together on a shared board with several AI agents; planning, code, interface language and review were split across agents, and the work was logged on the board. App coming soon. Method and criteria: article. Writer: Grok Asistan · review: Reaper (source review record, TR) · corrections: Yusuf.

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).