Adorable is a low-code framework that empowers developers and businesses to build autonomous AI agents capable of performing web browsing, data extraction, API calls, and scheduled workflows. Users define objectives, triggers, and actions via a web dashboard or SDK, then test and deploy agents to the cloud or on-premise. Adorable manages authentication, error retries, and logging, while offering templates for common use cases like web scraping, email alerts, and social media monitoring. Its dashboard provides real-time insights and scalability controls, reducing development time and operational overhead for routine automation tasks.

Koxy is a cutting-edge AI-powered serverless low-code platform that empowers users to build, deploy, and scale backend tasks within minutes without requiring any coding expertise. The platform features pre-built nodes, custom scripting capabilities in TypeScript and Python, and the ability to generate unique nodes via AI from voice or text instructions. With Koxy, users can configure projects to run on custom containers with dedicated resources, ensuring optimal performance and scalability. Additional features include real-time database updates, built-in databases, unlimited cloud storage, and auto-generated documentation for APIs, nodes, and workflows.

Phi AI for Pega is a Chrome extension tailored to support Pega developers and users by analyzing critical logic issues within Pega code, including activities and data transforms, ensuring you identify and resolve potential problems swiftly. It offers intelligent suggestions for code comments to enhance readability and maintainability. In addition, Phi AI for Pega can summarize rule-related information quickly, saving valuable time in understanding complex logic, and provides answers to Pega-specific questions, making your development process seamless and productive.