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 Accounting AI Agents
Tools like Dext, AutoEntry, and Hubdoc have automated data extraction and transaction posting. But these systems are fundamentally still rule-based, often requiring accountants to jump between spreadsheets. Thus, after reviewing the documentation and watching demos, we picked the top 15 AI-based accounting agents: The demos below show how accounting agents handle different tasks. In this…
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 Agent Traps: 20 Real-Life Incidents
AI agent adoption has outpaced AI agent security: 82% of enterprises now deploy agents, but 44% have policies to secure them,46 and one in five organizations has already experienced an agent-related breach.57 We analyzed 20 real-world security incidents and found that behavioral control and systemic traps (not prompt injection) now drive the majority of critical…
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.79 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:…
Building Personal AI Agents + 18 Agent Platforms and Tools
We spent two days experimenting with real-world demos and tools to build personal AI assistants that can handle your tasks, such as scheduling meetings, managing notes, or sorting through emails. We will dive into three main approaches to building and using personal AI assistants, with real-world examples for each: No-code automation tools, such as n8n,…
Top 10 Agentic AI ERP Systems & 6 Solutions
Agentic AI ERP integrates AI agents into Enterprise Resource Planning systems. For example, an ERP agent might detect a shipping delay and autonomously reroute deliveries, notify customers, and update inventory. Explore agentic AI ERP systems for enterprise-level and smaller and mid-sized businesses (SMBs): The list includes a mix of enterprise, and smaller and mid-market tools.…
Agentic Search in 2026: Benchmark 8 Search APIs for Agents
Agentic search plays a crucial role in bridging the gap between traditional search engines and AI search capabilities. Search APIs are the first layer of an agentic tool, where performance caps the quality of everything downstream. We benchmarked 8 search APIs across 100 real-world AI/LLM queries, evaluating 4,000 retrieved results with an LLM judge that…
15 AI Agents in Marketing Tools & Examples
Research shows that 50% of organizations using generative AI plan to launch agentic AI pilot programs.111AI 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. We evaluated the top 15 AI…
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…