AI
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.
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.
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.