# The Application Layer In addition to the work done by all the decentralized entities within Brainstems' protocol layer, there is also a lot happening behind the scenes to support the final UI businesses will leverage to access their intelligence. At launch, this work will be handled by the Brainstems Labs team, and supported by the Brainstems Foundation; however, over the coming years many of these services will be decentralized. ### JedAI - Activations Interface Brainstems was built on the idea that data is *not* the new gold. Its what you do with the data that matters. In a similar vein, training a model on data does not inherently provide a business value, but in the right combination of data, models and agents, and giving the business an interface to engage with the model does. Brainstems Labs' JedAI is a composable UI that will act as the primary interface for our first cohort of Brainstem deployments. JedAI will provide a conversational like front-end that can both chat with consumers and have pre-trained agents solving specific business tasks. JedAI is Brainstems Labs first attempt to create an end-to-end AI solution for businesses. We will continue to enhance this product, while working with our community to create alternative interfaces for each Brainstem deployed. ### Brainstems Marketplace Brainstems Labs has already built multiple foundation models that will sit at the center of our initial cohort of Brainstem deployments. However, we will look to quickly decentralize the model creation process. We forsee that models will be created via both top-down and bottom-up approaches. **Top-Down:** direct customer asks we will RFQ out to our community **Bottom-Up**: organic models built from third-party data by our community Regardless of source, we want to fund, support and host community models directly within the Brainstems protocol. Thus, soon after mainnet, we will launch the Brainstems Marketplace. More to come here! ### Identity Match & Data Cleaning Prior to a Brainstem deployment, a lot of work must be done to ensure that data is properly formatted for model training. The Brainstems Labs team has built and is optimizing a V1 data cleaning and identity matching product, to automate this process. Initially, this product will be embedded into our Light Node toolkit; however, we will quickly aim to decentralize identity matching and data cleaning, facilitated through the Brainstems Marketplace. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.intellex.xyz/intellex-ai-protocol-ecosystem/the-application-layer.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.