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.
Oracle AI Agents: Top 15 Use Cases & 5 Benefits
72% of companies deploying AI solutions.1 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…
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.…
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,…
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 AI for Cybersecurity: 10 Use Cases & Examples
Agentic AI refers to AI systems that combine models like large language models (LLMs) with automated workflows, tool integration, and decision support. These systems assist security teams in SecOps and AppSec by analyzing alerts, automating routine tasks, and supporting investigative work. Explore structured, real-world use cases of agentic AI in cybersecurity, as well as what…
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 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,50 and one in five organizations has already experienced an agent-related breach.51 We analyzed 20 real-world security incidents and found that behavioral control and systemic traps (not prompt injection) now drive the majority of critical…
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…
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…
A-CODE-CLI Bench: Agentic CLI Benchmark
Agentic CLI tools are AI coding tools that can create and delete files, run commands, plan, and execute the coding of the entire project. We benchmarked the leading tools across 10 real-world web development scenarios, performing ~600 atomic validation checks per agent and more than ~5,000 total automated test executions, including backend logic, frontend functionality,…