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.
AI Agents for Competitive Intelligence: Tools and Applications
The competitive intelligence landscape is shifting rapidly. MarketsandMarkets projects the global AI agent market will grow from USD 5.1 billion in 2024 to USD 47.1 billion by 2030, at a CAGR of 44.8%. Traditional methods, quarterly reports, and manual research are being replaced by AI agents that continuously track competitors, delivering insights in real-time.
Agentic AI for Cybersecurity: Real life Use Cases & Examples
Agentic AI for cybersecurity functions as an autonomous decision-maker for SecOps and AppSec. It can take proactive actions, automate software development processes, or automate pentesting. For example, AppSec AI agents like Aptori can integrate into your IDE and CI/CD pipeline to run automated pentests to identify if your APIs are free from vulnerabilities.
10 AI Coding Challenges I Face While Managing AI Agents
From what I have observed, AI agents are particularly helpful during the exploratory phases of work, assisting with implementations or outlining potential approaches. However, they fall short in contexts that require consistent judgment or strategic reasoning. Below, I outlined the most common AI coding challenges. Click the links to jump to each section: [aim_list] 1.
Open Operator: A Free Alternative to OpenAI's Operator
Early in 2025, OpenAI announced Operator, a new research preview of ChatGPT that serves as an agent for repetitive activities. It can browse for plane tickets, book a table, or shop online, and execute daily digital tasks for you on its own.
Best 50+ Open Source AI Agents Listed
Everyone is building AI agents these days. So after hands-on testing with popular AI coding agents, AI agent builders and tools use benchmarks to evaluate their real-world capabilities, we put together a curated list of the best 50+ open source AI agents.
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 a user to click on apps or integrate an API.
Top 5 E-commerce AI Agents: A Hands-On Review
I selected the best AI agents for e-commerce. In this review, I will highlight their real-world applications across multiple e-commerce workflows from content creation and SEO to product data management, campaign automation and operations management.
From Traditional SaaS-Pricing to AI Agent Seats
Companies are increasingly shifting to dynamic pricing models, allowing buyers to choose their costs based on specific needs and usage patterns.
AI Agent Performance: Success Rates & ROI
The AI agent market reached $5.4 billion in 2024 and is projected to grow at 45.8% annually through 2030. Therefore, companies that master AI agent deployment will see significantly greater investment returns.