AI
Top 9 AI Infrastructure Companies & Applications in 2025
Many organizations invest heavily in AI, yet most projects fail to scale. Only 10-20% of AI proofs of concept progress to full deployment. A key reason is that existing systems are not equipped to support the demands of large datasets, real-time processing, or complex machine learning models.
Top 7 Answer Engine Optimization Tools in 2025
Instead of showing a list of links, search engine tools like ChatGPT, Google AI Overviews, and Perplexity now provide direct answers. This shift makes it harder for websites to stand out using only traditional SEO methods. That’s where answer engine optimization tools come in.
Top AI Note Takers Tested: Motion, Fellow, Otter, and TL;DV
We tested each AI note taker to evaluate their accuracy and features during real world meetings. Follow the links to view our detailed reviews: AI note taker benchmark results Methodology for evaluating AI note taking tools: We tested AI note takers during a strategy session focused on improving sales in the rural market. 1.
How to Build a Claims Processor Agent from Scratch? [2025]
We’ll use Stack AI workflow builder for claims automation and create an AI agent to enable users to upload accounting documents—like invoices, receipts, and claim forms—and automatically convert them into structured JSON using OCR and GPT-based processing. The extracted data can then be sent to a Google Sheet or used in custom apps and databases.
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.
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.
Hands-On Top 10 AI-Generated Text Detector Comparison
We conducted a benchmark of the most commonly used 10 AI-generated text detector.
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.
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.
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.