Next Boilerplate is an all-in-one toolkit designed to help AI startups quickly launch their products without the need for extensive coding. The kit includes optimized templates for Next.js, React, and TypeScript, AI code generation, natural language processing, AI model training, and advanced analytics. It offers customizable user authentication, scalable database setup, a comprehensive UI component library, and streamlined deployment pipelines. With Next Boilerplate, developers can significantly reduce development time and focus on building great AI products while ensuring best-in-class security and privacy for their data.

QueryCraft is a Python-based prompt engineering toolkit designed to streamline the development of AI agents. It enables users to define structured prompts through a modular pipeline, connect seamlessly to multiple LLM APIs, and conduct automated evaluations against custom metrics. With built-in logging of token usage and costs, developers can measure performance, compare prompt variations, and identify inefficiencies. QueryCraft also includes debugging tools to inspect model outputs, visualize workflow steps, and benchmark across different models. Its CLI and SDK interfaces allow integration into CI/CD pipelines, supporting rapid iteration and collaboration. By providing a comprehensive environment for prompt design, testing, and optimization, QueryCraft helps teams deliver more accurate, efficient, and cost-effective AI agent solutions.

The StarkNet AI Transaction Simulator is a web-based application that uses advanced AI models to replicate StarkNet network behavior and simulate user-defined transactions. It forecasts gas usage, potential reverts, and contract state changes by interpreting transaction parameters through machine learning. Users can iteratively adjust inputs, explore alternative execution paths, and verify expected outcomes before deployment. The platform supports multi-step contract interactions, token transfers, and DeFi operations, providing detailed logs and AI-driven recommendations to streamline development and audit processes.

CodeJet leverages advanced AI algorithms to automate the conversion of Figma designs into clean, production-ready code. This tool empowers developers to reduce time spent on manual coding and enhances collaboration between designers and developers. With a visual editor, users can preview and edit generated code instantly, optimizing the development workflow and accelerating project timelines.