Plumb

Plumb is a collaborative visual programming tool which is primarily designed to assist SaaS teams in the creation of AI-powered products and features. Its core functionality is based on a node-based builder technology that permits all teams involved in a product's lifecycle - including the product, design, and engineering teams - to cooperate and build AI features with less difficulty. Plumb focuses on streamlining the entire process of building, testing, and deploying AI features by removing co

Plumb provides a streamlined platform for building and testing AI products by minimizing the obstacles traditionally posed by coding requirements. It focuses on offering no-code collaboration. It incorporates a node-based builder that simplifies the construction of AI features, thereby facilitating the product and design teams to work together more effectively. It allows for easy comparison and evaluation of prompt and model performance, thus aiding in the identification of degradation and effic

Plumb can be used by all members of a product's lifecycle, including product, design, and engineering teams. It is especially suitable for SaaS teams that are building complex AI-powered products and features. It provides a platform where different stakeholders can contribute to the development and deployment of AI features without code limitations, thereby fostering a collaborative environment.

Plumb enables the elimination of code hurdles by providing a node-based building system. This no-code, node-based builder empowers teams to create AI features together, without the need for coding. By thus removing the need to navigate complex coding protocols, Plumb significantly simplifies the construction and deployment process.

In the context of Plumb, end-to-end integration implies that the versions of prompts tested on the system are the ones that are delivered to production. It streamlines the entire process from building to deployment by ensuring that there is no disparity between the versions developed and those delivered. This is guaranteed by the comprehensive, full-process integration provided by Plumb's node-based builder.

A node-based builder in Plumb is a component used for constructing AI features. It operates on a no-code principle, enabling product, design, and engineering teams to collaborate more effectively. This element of Plumb simplifies the creation of complex AI products by empowering team members to work together in a unified manner, while avoiding the common coding obstacles.

Plumb aids in constructing complex multi-tenant pipelines by providing an advanced platform that goes beyond regular automation. It offers the opportunity to transform data, and to apply validated JSON schema to create high-quality, reliable AI features. These functionalities contribute to the creation of sophisticated multi-tenant pipelines that provide real value across multiple simultaneous users.

In Plumb, data transformation refers to the processing and conversion of data to create reliable AI features. This can involve converting data into different formats or restructuring it to better suit the specific needs of the AI application being developed. This aids in the effective processing and utilization of complex, multi-tenant pipelines, and helps create valuable AI features.

Plumb utilizes validated JSON schema for creating reliable, high-quality AI features. JSON schema provides a contract for how JSON data should be structured, ensuring accuracy and reliability in data processing. This contributes to the enhancement of the dependability of the AI features created using Plumb, by forming a standardized and validated format for data composition.

Product, design, and engineering teams can utilize Plumb for collaborative visual programming. This node-based builder tool empowers these teams to create AI features together. The tool also streamlines the process of construction, testing, and deployment of AI-driven features, minimizing roadblocks arising from coding. It also offers the possibility to effortlessly compare and evaluate prompt and model performance, aiding in timely debugging and rectification.