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 Sales Automation Tools in 2026 - 6 Tested

Best AI Sales Automation Tools in 2026 - 6 Tested

A hands-on comparison of the six best AI sales automation tools in 2026 - covering Instantly, Smartlead, Lemlist, Clay, Apollo, and Outreach on pricing, deliverability, AI features, and the use cases where each actually wins.

Best AI Cybersecurity Tools 2026 - Autonomous SOC

Best AI Cybersecurity Tools 2026 - Autonomous SOC

A hands-on comparison of the top AI-powered cybersecurity platforms in 2026: Prophet Security, Darktrace, Vectra AI, CrowdStrike Charlotte AI, and SentinelOne Purple AI - ranked by detection accuracy, autonomous response depth, and SOC efficiency gains.

GPT-5.5

GPT-5.5

OpenAI's first fully retrained base model since GPT-4.5, targeting agentic coding, computer use, and knowledge work at $5/$30 per million tokens.

Grok 4.3

Grok 4.3

Grok 4.3 Beta adds native video input and document generation to xAI's flagship, with a confirmed 0.5T-parameter checkpoint and 2M-token context window, at $300/month for SuperGrok Heavy subscribers.

Qwen3.6-27B

Qwen3.6-27B

Qwen3.6-27B is a 27B dense open-weight multimodal model from Alibaba that scores 77.2% on SWE-bench Verified - beating Alibaba's own 397B MoE - under Apache 2.0.

GLM-5.1

GLM-5.1

Z.ai's GLM-5.1 is an open-weight 754B MoE model that tops SWE-Bench Pro with 58.4, sustains 8-hour autonomous coding sessions, and runs under MIT license at $0.95/M input tokens.

GPT Image 2

GPT Image 2

GPT Image 2 (ChatGPT Images 2.0) brings 99%+ text accuracy, 2K resolution, web-search grounding, and a Thinking mode for character-consistent storyboards.

ERNIE 5.0

ERNIE 5.0

Baidu's ERNIE 5.0 combines 2.4 trillion parameters with native omni-modal design, landing at LMArena's top-10 globally and outpacing GPT-5 High on chart and document benchmarks.