Hakan Tekgul
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Agent EvaluationFrom production traces to better AI agents: Automating the LLMOps feedback loop
Production AI traces are the raw material for better evals, prompts, datasets, and fine-tuned models. This post shows how the Arize AX Airflow Provider turns that feedback loop… Jitendra Yadav Hakan Tekgul May 27, 2026 17 min read -
AI EvaluationWhat is an evaluation harness? Definition & guide
An evaluation harness is the standardized infrastructure that decides what gets evaluated, runs the evaluation, and acts on the result. Chris Cooning Hakan Tekgul Cam Young May 4, 2026 14 min read -
AI EngineeringEU AI Act Compliance: What AI Engineering Teams Should Monitor
The EU AI Act is no longer a distant regulatory concept; it is in force and enterprises are road testing their real-world implementation. The core law is Regulation… Hakan Tekgul December 22, 2025 7 min read -
LLM EvaluationHow To Troubleshoot LLM Summarization Tasks
This blog is co-authored by Xander Song, Developer Advocate at Arize Follow along in the Colab version of this blog Introduction Large language models (LLMs) are revolutionizing the… Hakan Tekgul June 22, 2023 6 min read
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Arize gives AI teams observability and evals to understand and improve agent performance.