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.
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. Some (e.g., Nexus) have goal-oriented behavior, where they actively adjust key variables such as throughput/quality metrics. Others are designed for semi-autonomous tasks, such as fault detection or automated scheduling, where…
Oracle AI Agents: Top 15 Use Cases & 5 Benefits
72% of companies deploying AI solutions.7 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: What are Oracle AI agents? OCI generative AI agents is a fully managed service that integrates large language models (LLMs) with an intelligent retrieval system.…
SAP AI Agents in 2026: Joule Studio case studies
SAP predicts that AI agents could support up to 80% of the most-used business tasks in SAP. 18 We evaluated SAP’s AI agent portfolio, related case studies, and supporting infrastructure and identified three shifts shaping SAP’s AI agent strategy: From assistants to execution: Agents are embedded into core business processes rather than acting as standalone…
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.…
AI Agent Performance: Success Rates & ROI
Recent research reveals that AI performance follows predictable exponential decay patterns,32 enabling businesses to forecast capabilities and differentiate between costly failures and successful ROI-generating implementations. I oversaw 12 AIMultiple benchmarks, including nearly 70 AI agents across more than 1,000 tasks. See what each benchmark measures and where limits remain: Web interaction and browser-based agents Computer…
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.3334 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 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,35 and one in five organizations has already experienced an agent-related breach.39 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 Deep Research: Claude vs ChatGPT vs Grok
AI deep research offers users a wider range of search results than AI search engines. To see performance across different AI deep research tools, we are introducing three new benchmarks: DR-50 (Deep Research 50) Bench, which evaluates tools across 50 questions spanning six question types, DR-2T (Deep Research 2 Task) Bench, which assesses tools through…
15 AI Agents in Marketing Tools & Examples
Research shows that 50% of organizations using generative AI plan to launch agentic AI pilot programs.72AI 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…
Best 7 AI Test Agents for QA
We evaluated AI testing platforms embedded with AI agents; most were overhyped Selenium/Playwright with marketing. A few were capable of writing/maintaining test cases or visual testing, though even these tools still have notable limitations. From these, we selected 7 platforms and categorized them by their primary focus areas. Our evaluation is based on real-world application…