Wei is a self-service AI agent platform powered by Yaps technology. It provides an intuitive chat interface where users can ask Wei to draft messages, summarize reports, generate brainstorming ideas, manage calendars, and extract key insights from text. It integrates memory so it remembers conversation context and can follow multi-step instructions, helping professionals streamline communication and research tasks.

Text-to-Reward provides a pipeline to train reward models that map text-based task descriptions or feedback into scalar reward values for RL agents. Leveraging transformer-based architectures and fine-tuning on collected human preference data, the framework automatically learns to interpret natural language instructions as reward signals. Users can define arbitrary tasks via text prompts, train the model, and then incorporate the learned reward function into any RL algorithm. This approach eliminates manual reward shaping, boosts sample efficiency, and enables agents to follow complex multi-step instructions in simulated or real-world environments.