A bunch of improvements

fern/docs/pages/agent-building.mdx

@@ -29,32 +29,48 @@ Access our comprehensive agent building training session. This pre-recorded walk
     setup and configuration to prompts and data sources.
   </p>
 
-  <div
-    style={{
-      display: "flex",
-      gap: "16px",
-      fontSize: "14px"
-    }}
-  >
-    <div style={{ flex: 1 }}>
-      <strong>You'll Learn:</strong> Agent setup & configuration, as well as the full agent creation cycle 
-    </div>
-    <div style={{ flex: 1 }}>
-      <strong>Perfect For:</strong> Anyone looking to build and deploy
-      an agent with Credal
-    </div>
+<div
+  style={{
+    display: "flex",
+    gap: "16px",
+    fontSize: "14px",
+  }}
+>
+  <div style={{ flex: 1 }}>
+    <strong>You'll Learn:</strong> Agent setup & configuration, as well as the
+    full agent creation cycle
   </div>
-
-  <div style={{ marginTop: "16px", borderRadius: "4px", overflow: "hidden", position: "relative", paddingBottom: "56.25%", height: 0 }}>
-    <iframe
-      src="https://www.loom.com/embed/8531c5782c1943ecb930a501edcca1f2"
-      frameBorder="0"
-      webkitallowfullscreen
-      mozallowfullscreen
-      allowFullScreen
-      style={{ position: "absolute", top: 0, left: 0, width: "100%", height: "100%" }}
-    ></iframe>
+  <div style={{ flex: 1 }}>
+    <strong>Perfect For:</strong> Anyone looking to build and deploy an agent
+    with Credal
   </div>
+</div>
+
+<div
+  style={{
+    marginTop: "16px",
+    borderRadius: "4px",
+    overflow: "hidden",
+    position: "relative",
+    paddingBottom: "56.25%",
+    height: 0,
+  }}
+>
+  <iframe
+    src="https://www.loom.com/embed/8531c5782c1943ecb930a501edcca1f2"
+    frameBorder="0"
+    webkitallowfullscreen
+    mozallowfullscreen
+    allowFullScreen
+    style={{
+      position: "absolute",
+      top: 0,
+      left: 0,
+      width: "100%",
+      height: "100%",
+    }}
+  ></iframe>
+</div>
 
 </div>
 

fern/docs/pages/platform/actions/open-source-actions.mdx

@@ -1,6 +1,10 @@
 # Credal Open Source Actions
 
-<Callout intent="info" icon="fa-brands fa-github" title="Credal Actions SDK is open source">
+<Callout
+  intent="info"
+  icon="fa-brands fa-github"
+  title="Credal Actions SDK is open source"
+>
   Browse existing actions, open issues, or submit a PR on GitHub:
   **[github.com/credal-ai/actions-sdk](https://github.com/credal-ai/actions-sdk)**
 </Callout>

fern/docs/pages/platform/agents/agent-evaluate.mdx

@@ -29,18 +29,23 @@ When generating test cases, you can choose which document sources inform the que
 
 Once generated, the test cases appear in your Evaluate tab alongside any manually created ones. You can edit the questions and rubrics, or delete any that don't fit your needs.
 
-<div style={{position: "relative", paddingBottom: "53.23%", height: 0}}>
+<div style={{ position: "relative", paddingBottom: "53.23%", height: 0 }}>
   <iframe
     src="https://www.loom.com/embed/05169c6427b646e99c86f5bafdcebafc"
     frameborder="0"
     webkitallowfullscreen
     mozallowfullscreen
     allowfullscreen
-    style={{position: "absolute", top: 0, left: 0, width: "100%", height: "100%"}}
+    style={{
+      position: "absolute",
+      top: 0,
+      left: 0,
+      width: "100%",
+      height: "100%",
+    }}
   ></iframe>
 </div>
 
-
 ### **Creating Rubrics**
 
 For each test question, you can define a custom rubric that specifies what makes a good answer. Rubrics allow you to:

fern/docs/pages/platform/agents/configure-steps/agent-collaboration.mdx

@@ -26,7 +26,6 @@ Great! Now your agent is discoverable by other agents!
 
 4. You can either make the Agent visible to all other Agents (only possible by an admin), or you can add an eligible caller to provide access on a per-Agent level. User level access coming soon. Today, you can restrict user level access to an action by deploying the Agent to a private Slack channel or creating a user group (contact support@credal.ai to set this up).
 
-
 ## 2. **Connecting to an Agent**
 
 Now that you have some discoverable agents, you can connect other agents to it. To do this, let's connect an agent to the one we just made discoverable:

fern/docs/pages/platform/agents/configure-steps/connectors/data.mdx

@@ -18,16 +18,14 @@ If none have been attached yet it will look like:
 If data sources have already been attached you'll see them listed by connector
 ![attached-data-sources.png](/docs/assets/agents/create-steps/attached-data-sources.png)
 
-
 **2. Attaching Sources**
 
-You can either select a synced source, sync a URL, or upload your own files. 
+You can either select a synced source, sync a URL, or upload your own files.
 
 If you want to attach a [document collection](/user-guide/platform/agent-builder/configuration/add-connectors/document-collections), this will be under select a source.
 
 ![copilot_data_sources.png](/docs/assets/copilots/copilot_data_sources.png)
 
-
 **2. Bookmarking Data**
 
 By bookmarking (or pinning) data sources, you can force your agent to refer to certain sources for _every_ user query, as opposed to just prioritizing the attached data. You should use this for documents that will relate to most queries you expect your agent to address. If you have a document that you always want your agent to refer to, put it here. This could include answers to FAQs or a sales playbook. As pinned sources will be read in their entirety every time a user asks a question, they should only be used for a limited amount of high quality data to avoid overwhelming the AI with too much data on every question.

fern/docs/pages/platform/agents/configure-steps/connectors/document-collections.mdx

@@ -26,28 +26,28 @@ You'll be taken to your new collection's configuration page automatically.
 After creation, your collection has four tabs:
 
 1. Configure
-This is where you set up your collection's content and settings:
-Metadata 
-— Edit the name and description of your collection at any time.
-Smart Filtering Schema 
-— Define custom metadata fields for your documents (e.g., department, document type, date). This enables more precise filtering when your agent searches the collection.
-Data
- — Add content to your collection (see below).
-Performance 
-— If available, enable dedicated search capacity for faster results on large collections.
+   This is where you set up your collection's content and settings:
+   Metadata
+   — Edit the name and description of your collection at any time.
+   Smart Filtering Schema
+   — Define custom metadata fields for your documents (e.g., department, document type, date). This enables more precise filtering when your agent searches the collection.
+   Data
+   — Add content to your collection (see below).
+   Performance
+   — If available, enable dedicated search capacity for faster results on large collections.
 
 2. API
-View your collection's unique ID and manage API keys for programmatic access. This tab also links to API documentation if your developers need to integrate with the collection.
-  <Frame>
-    <img src="/docs/assets/collections/collections-api-tab.png" />
-  </Frame>
+   View your collection's unique ID and manage API keys for programmatic access. This tab also links to API documentation if your developers need to integrate with the collection.
+
+   <Frame>
+     <img src="/docs/assets/collections/collections-api-tab.png" />
+   </Frame>
 
 3. Preview Semantic Search
-Test your collection by running sample searches. This helps you verify that the right documents are being found before connecting the collection to an agent.
+   Test your collection by running sample searches. This helps you verify that the right documents are being found before connecting the collection to an agent.
 
 4. Monitor
-View a log of searches that have been run against your collection.
-
+   View a log of searches that have been run against your collection.
 
 #### Adding Content to Your Collection
 
@@ -56,11 +56,12 @@ From the Configure tab, scroll to the Data section. You have three main ways to
 **Upload new files** — Upload documents directly from your computer.
 **Public Webpages** — Click the Public Webpages button to add content from publicly accessible web URLs.
 
-  <Frame>
-    <img src="/docs/assets/collections/collections-data.png" />
-  </Frame>
+<Frame>
+  <img src="/docs/assets/collections/collections-data.png" />
+</Frame>
 
 #### Sharing Your Collection
+
 Click the Share button at the top of your collection's page to manage who has access:
 Add collaborators by searching for teammates within your organization.
 Remove collaborators by clicking the remove icon next to their name.
@@ -69,14 +70,17 @@ Organization admins automatically have access to all collections.
 > Note: Every collection must have at least one collaborator. You cannot remove the last remaining collaborator.
 
 #### Connecting a Collection to an Agent
+
 To use your collection as a knowledge source for an AI agent:
+
 - Open the agent you want to configure in the Agent Builder.
 - Go to the Data Sources section (or Connectors, depending on your interface).
 - Select your document collection as a data source.
 
 The agent will now be able to search your collection's content when answering user questions, respecting each user's document-level permissions.
 
 #### Deleting a Collection
+
 - Open the collection you want to delete.
 - Click the trash icon button at the top of the page.
 - Confirm the deletion in the dialog.

fern/docs/pages/platform/agents/configure-steps/connectors/overview.mdx

@@ -5,19 +5,23 @@ Connectors allow you to integrate the systems you use in your day-to-day work wi
 ## What You Can Connect
 
 - **[Indexed Data](/user-guide/platform/agent-builder/configuration/add-connectors/data)** – Sync and search your data sources
+
   - Best for fast semantic responses
   - Data is synced nightly
 
 - **[Actions](/user-guide/platform/agent-builder/configuration/add-connectors/actions)** – Dynamically interact with your connected systems
+
   - Best for live data extraction and writing to your systems in real time
   - Supports human-in-the-loop workflows
   - May have slightly higher latency
 
 - **[MCP Servers](/user-guide/platform/mcp-servers/overview)** – Integrate Model Context Protocol servers
+
   - Connect third-party MCP servers instantly
   - **[Build your own custom MCP servers](/user-guide/platform/mcp-servers/mcp-server-builder/create-new-server)** directly in Credal on top of your data—define custom parameters, descriptions, and logic to tailor exactly how agents interact with your systems
 
 - **[Document Collections](/user-guide/platform/agent-builder/configuration/add-connectors/document-collections)** – Curated sets of data for specific use cases
+
   - Curate data for a particular function
   - Use AI entity extraction to enable granular filtering by date ranges, account names, concepts, and more
 

fern/docs/pages/platform/agents/configure-steps/connectors/saas.mdx

@@ -5,33 +5,33 @@ title: Actions
 In this section, you can attach one or more **published actions** to the agent. Actions allow agents to dynamically connect to external systems or trigger workflows based on user input.
 
 - Click on **Add Connector** to view all the action providers available to you
-![no-attached-actions.png](/docs/assets/actions/no-attached-actions.png)
+  ![no-attached-actions.png](/docs/assets/actions/no-attached-actions.png)
 
 - Use the dropdown to search for an action used within a particular tool/integration
-![action-provider-selection.png](/docs/assets/actions/action-provider-selection.png)
+  ![action-provider-selection.png](/docs/assets/actions/action-provider-selection.png)
 
 - Select one or more **read** or **write** published actions
-    - Read actions will query data and retrieve it for the agent to consume
-    - Write actions will take real world action and accomplish tasks within tools
-    - Once all the actions are selected click the "Add" button in the bottom right
+
+  - Read actions will query data and retrieve it for the agent to consume
+  - Write actions will take real world action and accomplish tasks within tools
+  - Once all the actions are selected click the "Add" button in the bottom right
     ![action-selection.png](/docs/assets/actions/action-selection.png)
 
 - You'll see it show up in the connectors section of the agent configuration
-![attached-actions.png](/docs/assets/actions/attached-actions.png)
+  ![attached-actions.png](/docs/assets/actions/attached-actions.png)
 
 - This is where you can further configure them
-    - Click on the pencil icon to edit and personalize them
+
+  - Click on the pencil icon to edit and personalize them
     ![action-details.png](/docs/assets/actions/action-details.png)
 
 - When editing the action you can scroll down to modify the parameters of the action
-    ![action-parameters.png](/docs/assets/actions/action-parameters.png)
+  ![action-parameters.png](/docs/assets/actions/action-parameters.png)
 
 - If you scroll even further you'll be able to see the optional human in the loop settings. This setting makes sure that the agent asks for permission every time it needs to take this action. It will wait for the user to approve usage of the action before proceeding.
-    ![action-governance.png](/docs/assets/actions/action-governance.png)
+  ![action-governance.png](/docs/assets/actions/action-governance.png)
 
 - Once added you'll notice the small orange hammer icon on the action
-    ![action-with-gov-icon.png](/docs/assets/actions/action-with-gov-icon.png)
-
+  ![action-with-gov-icon.png](/docs/assets/actions/action-with-gov-icon.png)
 
 Attaching the right actions ensures that your agent can not only respond to questions but also execute real-world tasks across integrated systems.
-

fern/docs/pages/platform/agents/configure-steps/prompt.mdx

@@ -124,7 +124,6 @@ information at a specific point, or look at specific data before making a decisi
 
 Craft detailed instructions that anticipate potential pitfalls and standard operational procedures. Your Agent will only know as much as you tell it. Noticing that the responses are too long? Specify response length! Think there's too much fluff in the language? Ask for concise language.
 
-
 ## Provided Prompt Snippets
 
 Credal has prompt snippets right under the background prompt in the Agent Configuration tab. This is a great way to drop phrases into the background prompt that can help improve agents. This can take the form

fern/docs/pages/platform/mcp-servers/publishing-server.mdx

@@ -28,7 +28,10 @@ Here is an example of how you can directly publish to all users in ChatGPT
 
 ### For Other MCP Clients
 
-For all other surfaces, such as Cursor, Windsurf, or any custom MCP client, each server must be connected individually by copying the server's direct URL and adding it to the client manually.
+For all other surfaces, such as Lovable, Cursor, Windsurf, or any custom MCP client, each user must connect the URL individually:
+
+- **Lovable**: `https://app.credal.ai/api/user/lovable/mcp`
+- **Other clients**: Use the server's direct URL from the Publish tab
 
 ## Access Control
 

fern/docs/pages/quickstart.mdx

@@ -97,7 +97,7 @@ _--------- End Context ---------_
 </AccordionGroup>
 
 5. **Data**
-    The data you provide will be the source of truth for your agent. Your agent will rely on this data (along with the prompt and Q&A pairs) to answer user queries. You should provide your agent with sufficient data relevant to its area of expertise. The data you attach is the most important source of knowledge for the agent.
+   The data you provide will be the source of truth for your agent. Your agent will rely on this data (along with the prompt and Q&A pairs) to answer user queries. You should provide your agent with sufficient data relevant to its area of expertise. The data you attach is the most important source of knowledge for the agent.
 
    There are two ways you can provide data to the agent:
 
@@ -114,7 +114,7 @@ _--------- End Context ---------_
      Alternatively, you may want to allow the user to attach one or more source documents at the time of their question. For example, you may create an agent for generating meeting notes based on a transcript, and you want to allow your user to provide a different transcript each time they use the agent. This can be accomplished by creating a user input.
 
    **Advanced Settings**
-    There are some advanced settings you can use to control how your agent searches through the attached data. For most use cases, you should leave the default settings.
+   There are some advanced settings you can use to control how your agent searches through the attached data. For most use cases, you should leave the default settings.
 
    For advanced use cases, you can specify how many of the most relevant chunks (a chunk is roughly 2-3 sentences) the agent should read. You can also set a relevancy score cutoff.
 

fern/docs/pages/tutorials/slack-workflows/slack-workflows.mdx

@@ -7,7 +7,13 @@ Credal now supports triggering agents via Slack Workflows — on a schedule or b
     src="https://www.loom.com/embed/4515a790e2c84bab995a335b821cfd41"
     frameBorder="0"
     allowFullScreen
-    style={{ position: "absolute", top: 0, left: 0, width: "100%", height: "100%" }}
+    style={{
+      position: "absolute",
+      top: 0,
+      left: 0,
+      width: "100%",
+      height: "100%",
+    }}
   ></iframe>
 </div>
 
@@ -22,7 +28,9 @@ Before setting up a Slack Workflow trigger, your agent must already be published
 In your agent's **Publish** settings, go to **Slack Channels**, enable **Talk to your agent in Slack**, and add the agent to the channel where your Slack Workflow will post.
 
 <Callout intent="info">
-  Make sure the body text of your Slack Workflow message is structured to trigger the agent correctly based on your agent's routing settings (e.g. matching a filter, or triggering on all messages).
+  Make sure the body text of your Slack Workflow message is structured to
+  trigger the agent correctly based on your agent's routing settings (e.g.
+  matching a filter, or triggering on all messages).
 </Callout>
 
 ### Step 2: Copy your Workflow ID from Slack

fern/docs/user-guide.yml

@@ -127,7 +127,7 @@ navigation:
           - page: Monitoring Usage
             path: ./pages/platform/mcp-servers/monitoring-usage.mdx
       - page: Bulk Analysis
-        # Soon to be turned into workflows, but the credal way :) 
+        # Soon to be turned into workflows, but the credal way :)
         path: ./pages/platform/bulk-analysis.mdx
       - section: Integrations
         # Soon to be renamed Document Collections