AI Agents
AI agents are software systems that use reasoning, planning, and tools to assist or automate complex tasks. We compare the top open-source and commercial agents.
A-CODE-LLM Bench: Agentic Coding Benchmark
We benchmarked the top Large Language Models (LLMs) across 10 software development tasks using an agentic CLI tool. We executed ~3,500 automated validation steps per model across both API and UI layers. A-CODE-LLM Bench results Each alias ran 3 times across 10 tasks (30 samples per alias, 270 cells per iteration).
AI Deep Research: Claude vs ChatGPT vs Grok
AI deep research offers users a wider range of search results than AI search engines.
15 AI Agents in Marketing Tools & Examples
Research shows that 50% of organizations using generative AI plan to launch agentic AI pilot programs.AI agents in marketing introduce systems that can reason, make decisions, and act with minimal human oversight. These intelligent agents analyze customer data, generate actionable insights, and coordinate campaigns across multiple platforms in real-time.
Top 30+ Agentic AI Companies
Though AI agents are being hyped and some companies rebrand their chatbots as agentic tools, there are still a few agents in production. Previously, we benchmarked several capable AI agents over several real-world tasks.
SAP AI Agents in 2026: Joule Studio features & case studies
SAP predicts that AI agents could support up to 80% of the most-used business tasks in SAP.
AI-Based Stock Trading: Which Gen AI Tool Is Better
LLM tools have been used in AI-based stock trading since their emergence. I tested 14 generative AI models for AI-based stock trading to evaluate their ability to forecast price changes of 132 stocks using the provided information.
Mobile AI Agents Tested Across 65 Real-World Tasks
We spent 3 days benchmarking four mobile AI agents (DroidRun, Mobile-Agent, AutoDroid, and AppAgent) across 65 real-world tasks using an Android emulator with applications such as calendar management, contact creation, photo capture, audio recording, and file operations.
15 Threats to the Security of AI Agents
Even a few years ago, the unpredictability of large language models (LLMs) would have posed serious challenges. One notable early case involved ChatGPT’s search tool: researchers found that webpages designed with hidden instructions (e.g., AI agent traps) could reliably cause the tool to produce biased, misleading outputs, despite the presence of contrary information.
Best 7 AI Test Agents for QA
We evaluated AI testing platforms embedded with AI agents; most were overhyped Selenium/Playwright with marketing. A few were capable of writing/maintaining test cases or visual testing, though even these tools still have notable limitations. From these, we selected 7 platforms and categorized them by their primary focus areas.
AI Agent Sprawl Signs & Checklist to Manage Sprawl
Nearly 80% of organizations have deployed agentic AI. Yet only 21% have a mature governance model for these systems. The gap shows up in practice as agent sprawl, a buildup of redundant, ungoverned, and conflicting AI agents across the business.