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
LLM Latency Benchmark by Use Cases in 2026
The effectiveness of large language models (LLMs) is determined not only by their accuracy and capabilities but also by the speed at which they engage with users. We benchmarked the performance of leading language models across various use cases, measuring their response times to user input.
Best Airbnb Scrapers: Bright Data, Apify & Oxylabs
We tested six web scraping providers on Airbnb, sending a total of 1,500 scrape requests across all providers. Each provider was given the same set of vacation rental listing URLs and measured on completion time, success rate, and available metadata fields per listing.
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.
Top 6 LLM Scrapers in 2026
We ran a benchmark to compare how top LLM scraper providers like Bright Data, Oxylabs, and Apify perform with models such as ChatGPT, Gemini, Perplexity, and Google AI Mode. To ensure reliable results, we ran 1,000 tests per provider with each prompt repeated 10 times for consistency. The top-performing provider is detailed below.
LLM Observability Tools: Weights & Biases, Langsmith
LLM applications have expanded from single turn chat into multi step agents that call tools, query databases, and coordinate with other models, which makes their behavior harder to interpret. Each model output results from prompts, tool interactions, retrieval steps, and probabilistic reasoning that cannot be directly inspected.
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.
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 6 Video Scrapers: Tested & Ranked
We tested the top 6 video scraping providers to see how they handle video metadata on the top video platform, totaling 6,000 requests, and measured their success rate, response time, and metadata fields. Video scraping benchmark results To see how we calculated these metrics, read video scraping benchmark methodology.
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.
5 Best Google Maps Scraper APIs in 2026: Tested & Ranked
To find the best Google Maps scraper, we benchmarked the top web scraping providers, Apify, Oxylabs, Octoparse, and SerpApi by running 100 searches for each. We tested 10 categories and analyzed 4,000 business listings.
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