Agentic AI
Agentic AI represents the next phase in automation, featuring agents that execute complex tasks with minimal human supervision. We evaluated the most popular AI agents, open-source AI agent frameworks, customer service AI agents, and the performance of popular LLMs as AI agents.
AI Agents Benchmark Results
We tested leading AI agents across a benchmark that has actual workflow automation needs, including navigating complex interfaces, making precise edits, and completing multi-step processes.
GitHub Stars of Open-Source AI Agent Frameworks
We collected GitHub stars of popular open-source AI agent frameworks over the years.
Customer Service AI Agents
We evaluated four industry leaders on their API keys or playgrounds using a hold-out dataset of 100 questions randomly selected from Bitext Gen AI Chatbot Customer Support Dataset. We created an imaginary company, TechStyle, an e-commerce site with standard policies, and established a small customer database. This info was shared with each AI vendor before we posed our questions.
AI Agent Performance Benchmark
Our benchmark includes five tasks of increasing difficulty and complexity designed for a human to test success rates with business-specific tasks. The goal of the benchmark is to evaluate document processing by AI agents. We used eighteen different large language models as AI agents.
Open-source web agents: WebVoyager accuracy benchmark
WebVoyager benchmark evaluates web agents on 15 real-world websites, including Google, GitHub, and Wikipedia. It includes tasks like searching, clicking, navigating, and submitting forms across 643 task instances. Accuracy is measured by successful completion, compared to standard outputs.
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Explore Agentic AI
AI Agents vs Agentic AI Systems in 2025
Adapted from There’s been a lot of buzz around the terms “AI agents” and “Agentic AI systems” lately. While they’re often used interchangeably, they actually refer to slightly different concepts.
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. Key takeaways: 10+ agentic AI trends and examples 1.
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.
40+ Agentic AI Use Cases with Real-life Examples in 2025
Autonomous generative AI agents execute complex tasks with little or no human supervision. Agentic AI differs from chatbots and co-pilots. Unlike traditional AI, particularly generative AI, which often requires human intervention in complex workflows, agentic AI can autonomously navigate and optimize processes thanks to its decision-making capabilities and goal-directed behavior.