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.
- AI AgentsBenchmarkAug 31
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…
- Agentic ERPInsightAug 27
Oracle AI Agents: Top 15 Use Cases & 5 Benefits
72% of companies deploying AI solutions. Oracle leverages AI agents combining large language models, natural language processing, and retrieval-augmented generation (RAG). Explore Oracle AI agents, their use cases, and benefits: OCI generative AI agents is a fully managed service that integrates large language models (LLMs) with an intelligent retrieval system. It is designed to provide…
- AI AgentsOpen World EvaluationAug 27
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,…
- AI AgentsInsightAug 27
Building a No-Code AI Lead Generation Workflow
AI sales agents promise automated prospecting and outreach, but most are bundled as full sales engagement platforms costing significantly once onboarding, data enrichment, integrations, and premium support are added. After reviewing leading AI SDR and lead generation tools and building hands-on workflows, I found that many teams need something simpler, more flexible, and more cost-effective.…
- Agentic FinanceOpen World EvaluationAug 27
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…
- AI AgentsBenchmarkAug 21
AI Agent Platforms Benchmark: Claude Managed Agents vs Google Vertex Agent Engine
We benchmarked 4 AI agent platforms across 3 dimensions: task completion (10 coding tasks × 3 runs), harness-specific capabilities (steering, reconnection, long-conversation recall, large-file handling), and cost. Claude Managed Agents and Vertex AI Agent Engine both achieve 100% pass rates on the task suite, with Vertex winning on cost ($1.45 vs $2.50). For harness-specific features…
- AI AgentsInsightAug 21
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…
- Agentic WebBenchmarkAug 20
Agentic Search: 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…