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.
Top 15+ AI Financial Research Platforms for Investors
Despite thousands of available financial research tools, many investors struggle with fragmented data, time-consuming manual analysis, and limited predictive insights. AI financial research platforms use natural language processing and advanced analytics to cut research time from hours to minutes. See the top AI financial research solutions with their main services, prices and use-cases: Our experience:…
Local AI Agents: Goose, Observer AI, AnythingLLM
Local AI agents are often described as offline, on-device, or fully local. We spent three days mapping the ecosystem of local AI agents that run autonomously on personal hardware without depending on external APIs or cloud services. Our analysis categorizes the leading solutions into three key areas, based on hands-on testing across developer agents, automation…
Compare Best AI Agents in Customer Service
AI agents powered by large language models (LLMs) can respond to customer queries in natural language, interpret context, and generate human-like responses. These agents can process and synthesize large volumes of information from sources such as knowledge bases. We compiled four customer service AI agents: Tidio Lyro, Microsoft Azure AI Chatbot, IBM Watsonx Assistant, and…
Remote Browsers: Web Infra for AI Agents Compared
AI agents rely on remote browsers to automate web tasks without being blocked by anti-scraping measures. The performance of this browser infrastructure is critical to an agent’s success. We benchmarked 8 providers on success rate, speed, and features. To do this, we executed 160 automated tasks, running 4 distinct scenarios 5 times for each service…
Large Action Models: Hype or Real?
Following the launch of Rabbit, an AI device that can use mobile apps, the term large action models (LAMs) is getting popular. These models move beyond conversation by turning LLMs into “agents” that can connect the siloed, app-driven world without requiring users to click on apps or integrate APIs. The line between hype and reality…
Computer Use Agents: Benchmark & Architecture
Computer-use agents operate real desktops and web apps. Their designs, limits, and trade-offs are often unclear. We break down how leading systems work, how they learn, and how their architectures differ. We also reference a focused UI-grounding benchmark on 100 desktop screenshots, across 4 task types and 5 runs per sample. It isolates the quality…
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. See benchmark results including real-world performance comparison, costs and execution times: Highest success rate (43%) with high cost…
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. We listed: These companies primarily focus on agentic AI research and development, offering initiatives like ethical AI guidelines and environments for…
AI-Based Stock Trading: Which Gen AI Tool Is Better
LLM tools have been used in AI-based stock trading since their emergence.78 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. The results show that For further details on the benchmark, read the stock trading benchmark methodology section. The…
Agentic AI Finance Benchmark: FinRobot vs FinRL vs FinGPT
79% of executives report that their companies have started adopting AI agents, yet 34% are currently using them in accounting and finance.92 We conduct a benchmark on 3 agentic AI finance tools tailored for financial workflows. Results suggest that We present benchmark results alongside use cases and implementation challenges. The findings highlight several important patterns:…