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AI

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.

Apr 254 min read

AI Video Pricing: Compare Runway, Synthesia & Invideo AI

AI video pricing can differ significantly across platforms, influenced by factors such as output quality, customization options, and features. As more businesses and creators turn to AI for efficient video production, understanding these pricing models becomes essential.

May 211 min read

Hands-On Top 10 AI-Generated Text Detector Comparison

We conducted a benchmark of the most commonly used 10 AI-generated text detector.

Apr 226 min read

How to Measure AI Performance: Key Metrics & Best Practices

Measuring AI performance is crucial to ensuring that AI systems deliver accurate, reliable, and fair outcomes that align with business objectives. It helps organizations validate the effectiveness of their AI investments, detect issues like bias or model drift early, and continuously optimize for better decision-making, operational efficiency, and user satisfaction.

Apr 247 min read

AI Image Detector Benchmark: Brandwell, Decopy AI & More

AI-generated images are becoming increasingly common from social media to news outlets and creative industries. One recent example is the viral trend of AI-generated “Ghibli-style” images, which sparked debate over artistic ethics, generative AI copyright issues via the unauthorized use of Studio Ghibli’s distinctive aesthetic.

Apr 115 min read

Model Context Protocol (MCP) and Its Importance in 2025

Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to LLMs. More simply, it enables applications to connect to AI models, helping to achieve standardized results. Why is it important? MCP servers are becoming more popular because of their integration capabilities with AI systems.

Apr 33 min read

AI Reasoning Benchmark: MathR-Eval in 2025

We designed a new benchmark, Mathematical Reasoning Eval: MathR-Eval, to test the LLMs’ reasoning abilities, with 100 logical mathematics questions. Benchmark results Results show that OpenAI’s o1 and o3-mini are the best performing LLMs in our benchmark.

Apr 223 min read

AI Deep Research: Grok vs ChatGPT vs Perplexity in 2025

Deep research is a feature on some LLMs that offers users a wider range of searches than AI search engines. We tested and evaluated the following tools to determine which one is most helpful to users: Results We evaluated them in terms of accuracy and number of sources.

Apr 33 min read

Vibe coding: Great for MVP But Not Ready for Production

Vibe coding is a new term that has entered our lives with AI coding tools like Cursor. It means coding by only prompting. We made several benchmarks to test the vibe coding tools, and with our experience, we decided to prepare this detailed guide.

Apr 294 min read

AI for Mental Health: 7 Use Cases with Real-Life Examples

Mental health challenges are a worldwide concern, especially after the COVID-19 pandemic, which saw an estimated 76 million additional cases of anxiety disorders.This heightened stress strained healthcare systems and increased demand for mental health support. Yet, traditional care faces barriers like professional shortages, high costs, and social stigma.

Mar 249 min read