Nazlı Şipi
She is also part of the benchmark team, focusing on large language models (LLMs), AI agents, and agentic frameworks.
Nazlı holds a Master’s degree in Business Analytics from the University of Denver.
Latest Articles from Nazlı
Top 4 Google Play Scraping Providers Compared
We benchmarked four web scraping providers across Google Play product page URLs, sending 4,000 requests in total. For each request, we measured how reliably the provider returned data, how long it took from submission to final response, and how many metadata fields the response contained.
Top 5 Open-Source Agentic AI Frameworks in 2026
We benchmarked 4 popular open-source agentic frameworks across 2,000 runs (5 tasks, 100 runs each per framework), measuring end-to-end latency, token consumption, and architectural differences. Agentic AI frameworks benchmark We examined how the frameworks themselves influence agent behavior and the resulting impact on latency and token consumption.
Top 6 Apple App Store Scrapers: Bright Data, SerpAPI & Zyte
We benchmarked 6 web scraping providers against 1,000 Apple App Store pages, for a total of 6,000 requests, and measured success rate, completion time, and the number of metadata fields each provider returned.
Compare Multimodal AI Models on Visual Reasoning
We benchmarked 15 leading multimodal AI models on visual reasoning using 200 visual-based questions. The evaluation consisted of two tracks: 100 chart understanding questions testing data visualization interpretation, and 100 visual logic questions assessing pattern recognition and spatial reasoning. Each question was run 5 times to ensure consistent and reliable results.
Review Scraping Benchmark: Bright Data, Oxylabs & Decodo
We tested 5 web scraping providers across 5 major review platforms for a total of 12,500 requests, and measured success rate, completion time, and metadata fields. Review scraping benchmark You can read benchmark methodology section for more details on the testing process.
Multi-Agent Frameworks: Challenges & Strengths
Multi-agent systems use specialized agents working together to solve complex tasks. A key challenge: does performance degrade as more agents and tools are added, or can orchestration mechanisms handle the growing complexity efficiently? We benchmarked 5 agentic frameworks across 750 runs with three tasks.
Best Glassdoor Scrapers: Bright Data, Oxylabs & Decodo
To compare how well different tools handle Glassdoor‘s CAPTCHAs, login overlays, and frequent layout changes, we tested 5 leading web data scrapers across 2,500 requests and tracked each provider’s success rate, completion time, and metadata coverage. Glassdoor scraping benchmark results You can read our benchmark methodology for more details on our testing process.
Benchmarking Agentic AI Frameworks in Analytics Workflows
Frameworks for building agentic workflows differ substantially in how they handle decisions and errors, yet their performance on imperfect real-world data remains largely untested.
Top 5 Job Posting Scraper APIs Compared
We benchmarked 5 leading web scraping providers across 5 major job platforms by running 12,500 requests in total, then measured each provider’s success rate, completion time, and metadata output.
6 Best Google Reviews Scraping Providers Compared
To test how web scraping providers handle Google review extraction, we ran 2,500 requests across 5 providers on 500 Google Maps business URLs, and measured success rate, completion time, and metadata output. Google Maps reviews scraping benchmark You can read benchmark methodology for more details on testing process.
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