The landscape of artificial intelligence is evolving at an unprecedented pace. What began with single, specialized models has rapidly transformed into an intricate ecosystem of interconnected components, often involving large language models (LLMs), external APIs, custom tools, and complex conditional logic. Building and managing these multi-step AI applications presents significant challenges, particularly when it comes to understanding their internal workings and ensuring their reliability. This is where the concept of programmatic AI app chaining , coupled with intuitive visual inspection, becomes indispensable. Enter Daggr, a powerful tool from Hugging Face designed to bridge the gap between programmatic control and visual clarity in AI workflow development. Traditional approaches to building complex AI pipelines often involve extensive codebases that can quickly become opaque, making debugging a daunting task. Developers struggle to visualize the flow of data, identify bottlenec...