James Kowalski

James Kowalski

AI Benchmarks & Tools Analyst

James is a software engineer turned tech writer who spent six years building backend systems at a fintech startup in Chicago before pivoting to full-time analysis of AI tools and infrastructure. His engineering background means he doesn't just read the spec sheet - he runs the benchmarks, profiles the latency, and checks whether the marketing claims hold up under real workloads.

He studied Computer Science at the University of Illinois at Urbana-Champaign, where he first got hooked on natural language processing during a senior research project on sentiment analysis. He later completed a certificate in data journalism from Northwestern's Medill School.

At Awesome Agents, James owns the leaderboards and tool comparison coverage. He maintains the site's benchmark tracking methodology and is the person who actually runs the numbers before publishing any ranking. He is also an open-source advocate and contributes to several projects in the LLM inference space.

Based in Chicago, IL.

Articles by James Kowalski
Best AI Fine-Tuning Platforms in 2026

Best AI Fine-Tuning Platforms in 2026

A data-driven comparison of 14 managed and open-source fine-tuning platforms, with verified pricing, supported methods, and a decision matrix to pick the right tool for your workload.

Overall LLM Rankings: April 2026

Overall LLM Rankings: April 2026

Comprehensive ranking of the top large language models in April 2026, combining reasoning, coding, knowledge, human preference, and cost-adjusted value across 12 frontier and open-weight models. Updated with Claude Opus 4.7 and Qwen 3.6.

Agent Platform Pricing Compared 2026

Agent Platform Pricing Compared 2026

True cost breakdown of commercial agent frameworks and platforms - LangGraph, CrewAI, AutoGen, E2B, Modal, Fly.io, and more at 1k, 100k, and 1M runs, including LLM passthrough costs.