Agentic AI Benchmarks: Agent and LLM Performances
Agentic AI includes agents that execute complex tasks with minimal human supervision. We evaluated the most popular AI agents and the performance of popular LLMs on different benchmarks to find the best agent-model combination that you will need.
Explore Agentic AI Benchmarks: Agent and LLM Performances
- AI AgentsOpen World EvaluationSep 1
30+ Industrial AI Agents to Watch
Industrial AI agents address the limitations of siloed data by autonomously integrating and deriving actionable insights from IoT, controls systems (e.g. SCADA), and connected assets. Below is a categorized review of over 30 key vendors offering AI agent platforms and tools: To explore each section and discover the relevant vendors, tools, platforms, capabilities, and focus…
- Agentic WebOpen World EvaluationSep 1
Best 30+ Open Source Web Agents
We tested 30+ open-source web agents across four categories: autonomous agents, computer-use controllers, web scrapers, and developer frameworks. We ran identical benchmarks using the WebVoyager test suite, which covers 643 tasks across 15 real websites, to measure which tools actually complete multi-step web tasks and which fail when sites use dynamic dropdowns or JavaScript-heavy layouts.…
- AI AgentsInsightSep 1
Building AI Agents with Composable Patterns
We spent 3 days experimenting with workflows and agent pipelines in n8n, following Anthropic’s and OpenAI’s guides on building effective AI agents. Explore the core AI agent components, how to choose the right components and tools, in addition to building agent workflows based on Anthropic’s simple, composable patterns such as prompt chaining, routing, parallelization, orchestrator…
- 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 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…