Agentic AI
Multi Agent Systems: Applications & Comparison of Tools
Multi-agent systems(MAS) enable distinct AI agents to work together to achieve complex objectives. Every AI agent in the system possesses its specific characteristics and responsibilities that contribute to a greater goal. MAS provides a distinctive approach to managing multi-step tasks and enhancing efficiency.
4 Agentic AI Design Patterns & Real-World Examples [2025]
Agentic AI design patterns enhance the autonomy of large language models (LLMs) like Llama, Claude, or GPT by leveraging tool-use, decision-making, and problem-solving. This brings a structured approach for creating and managing autonomous agents in several use cases.
Top 10+ AI Agents in Healthcare: Use Cases & Examples
We previously explained healthcare AI use cases. In this article, I listed the best AI agent examples for healthcare that automate workflows in clinical operations: Examples of AI agents in healthcare General-purpose healthcare agents Automates multiple business tasks (e.g., scheduling, medical coding, office operations), but not focused on diagnostics or deep clinical applications.
From Traditional SaaS-Pricing to AI Agent Seats [2025]
Companies are increasingly shifting to dynamic pricing models, allowing buyers to choose their costs based on specific needs and usage patterns.
Agentic Document Extraction: LandingAI & more in 2025
Agentic Document Extraction (ADE) is a specialized form of Optical Character Recognition (OCR) that extracts data from various file types. It combines document processing, data retrieval, structured output generation, and automation to streamline knowledge work. ADE stands out from traditional OCR by its ability to recognize complex document structures, such as tables, flowcharts, and images.
Top 20+ Agentic AI Companies in 2025
Though AI agents are being hyped and some companies rebrand their chatbots as agentic tools, there are still few agents in production. Previously, we benchmarked some of these capable AI agents over several real-world tasks: In this article, we identified key agentic AI companies that live up to the hype.
Compare Best AI Agents in Customer Service in 2025
AI agents powered by large language models (LLMs) can respond to customer queries in natural language, interpret context, and generate human-like responses. These agents can process and synthesize large volumes of information from sources such as knowledge bases. We compiled a list of the best use cases for the top 4 customer service AI agents.
AI in SOAR: AI Analytics vs GenAI vs Agents in 2025
AI capabilities in security orchestration, automation, and response (SOAR) aim to automate security operations centers (SOCs), reducing human tasks and increasing efficiency. Several types or subsets (e.g. machine learning) of AI are employed in the SOC.
Oracle AI Agents with Top 14 Use Cases & 5 Benefits [2025]
Generative AI is transforming industries, with 72% of companies deploying AI solutions. Oracle leverages advanced generative AI agents combining large language models, natural language processing and retrieval-augmented generation (RAG) to execute complex , multi-step workflows, and integrate with existing business processes. Explore what Oracle AI agents are, how they work, their use cases, and their benefits.
Best AI Code Editor: Cursor vs Windsurf vs Replit in 2025
Making an app without coding skills is highly trending right now.