AiRabbit

If you, like me, find yourself juggling different projects with various teams simultaneously, you're probably familiar with this challenge: how to maintain a clear separation between projects in your inbox, without having to configure countless email rules or create a brand new email account for every single project.

For years, the conventional wisdom about the big AI players – OpenAI, Anthropic, Google DeepMind, Meta – was that they were infrastructure providers. They built the black boxes, the powerful language models, the underlying platforms (APIs, cloud services) that others would then use to build industry-specific applications. The idea was, "We

When working with models such as Claude or GPT-4 on software architecture tasks — or indeed any other complex tasks — most people tend to use a simple question-and-answer approach. You set out the initial requirements and the AI responds immediately with an architectural solution. While quick, this traditional method has significant

AI agents are a hot topic right now, and many believe they will increasingly become a dominant force across all industries worldwide. Salesforce, for example, even predicts that there will be a billion agents in use by the end of this year – a truly astonishing number. With so many AI

Have you ever found yourself in a rush, perhaps heading to a new, even remote, destination for work or leisure, only to realize you haven't had nearly enough time to plan or research the place? Arriving in an unfamiliar city without any prior knowledge isn't ideal,