Agentic AI
Top 5 E-commerce AI Agents: A Hands-On Review in 2025
As an AI enthusiast, I’ve picked the best generative AI tools for e-commerce content creation. In this review, I’ll showcase real-world applications of these tools and share my thoughts on where they deliver the most value and where there’s still room for improvement.
Compare 10+ Accounting AI Agents in 2025
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.
Agentic AI n8n Tutorial in 2025
We built an AI agent within n8n designed to provide investment advice, showcasing the platform’s capabilities for agentic AI. This process involved configuring the agent to perform technical and fundamental stock analysis by integrating 5 distinct tools and pulling financial data from various APIs.
10+ Agentic AI Trends and Examples for 2025
The future of agentic AI isn’t just about improving tools or streamlining business workflows. It’s about integrating AI deeply and transforming business approaches by restructuring current frameworks. [aim_list] Key takeaways: 10+ agentic AI trends and examples 1.
Agent2Agent (A2A) Protocol and Its Importance in 2025
As businesses increasingly deploy AI agents across their workflows, one challenge becomes clear: agents often struggle to coordinate with one another. This limits their ability to execute multi-step, cross-functional tasks without human intervention. To address this, various protocols have been developed, and Agent2Agent (A2A) is one of these protocols.
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 ['25]
AI agents in healthcare are transforming the way care delivery, diagnostics, operations, and patient engagement work. Unlike traditional software, these intelligent systems leverage machine learning and natural language processing to perform tasks that previously required human judgment, speed, and intuition.
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 vs. Mistral OCR & more
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.