The Automated Home Kitchen: The Future of Homegrown Cooking Ingredients

Most of us might already be familiar with the MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols presented by Anthropic and Google to standardize how agents communicate and work together to solve problems. Since many have focused on discussing the protocols themselves, exploring how they can complement each other to solve complex problems, I wanted … Continue reading The Automated Home Kitchen: The Future of Homegrown Cooking Ingredients →

Augmented AI-Human Review Loop: Crafting Effective Workflows

Artificial intelligence (AI) has become an indispensable tool, seamlessly integrating into our daily workflows and making tasks easier and more efficient. However, despite its impressive capabilities, AI isn't a perfect replacement for human intelligence. Instead, it excels at augmenting human capabilities, enhancing our ability to perform complex tasks and make informed decisions.The key to unlocking … Continue reading Augmented AI-Human Review Loop: Crafting Effective Workflows →

Serverless ML’less recommendation engines

Recommendation engines are most common in today's business. However, building a fully automated recommendation platform is not an easy task. As soon as we think about recommendations, there are so many things that come into consideration. Machine learning and AIHuge computation needsThe cost involved in the recommendationAccuracy in predictions and so on The modern cloud … Continue reading Serverless ML’less recommendation engines →

The Emergence of Intelligent Mobile Apps

While smartphones represent the most convenient way for businesses to engage their customers, the emergence of IoT is expected to usher in a new generation of devices, ending the reign of smartphones. As mobile apps are no longer made just for smartphones, we believe the key shifts in mobility will center on how we interact … Continue reading The Emergence of Intelligent Mobile Apps →