NiamhRelevance · Sep 16, 2026 · Sep 10, 2026 · Sep 10, 2026 · Sep 10, 2026 · Sep 14, 2026
diff --git a/build/agents/build-your-agent/triggers.mdx b/build/agents/build-your-agent/triggers.mdx
@@ -15,6 +15,10 @@
 
 ## Setting up a trigger
 
+<Info>
+  New to Relevance AI? [Relevance AI Academy](https://relevanceai.com/academy) has structured courses that walk you through building on the platform step by step.
+</Info>
+
 1. Navigate to the **Agents** page and select the agent you want to configure
 2. In the sidebar on the left, click **Triggers**
 3. Click the **Add trigger** button
@@ -58,7 +62,7 @@

 ### Common use cases for pausing triggers

 - **Testing**: Pause production triggers while testing changes to your agent
 - **Maintenance**: Temporarily disable triggers during system updates or configuration changes
 - **Cost control**: Pause high-volume triggers during periods when you don't need them active
 - **Debugging**: Isolate specific triggers to troubleshoot issues
@@ -68,7 +72,7 @@

 ### Integration triggers

 We have 1,000+ integrations you can connect to and set up to trigger your Agent, including external triggers like Zapier.

 <Card title="Integration triggers" href="/build/agents/build-your-agent/agent-triggers/integrations">View all available integration triggers and premium options.</Card>

@@ -80,7 +84,7 @@

 ### Build your own triggers

 Connect to custom webhooks, APIs, and SDKs to trigger your Agent programmatically.

 <Columns cols={2}>
  <Card title="Webhook" href="/build/agents/build-your-agent/agent-triggers/custom-webhook">Trigger your Agent from a custom webhook.</Card>
@@ -96,7 +100,7 @@
 | React to emails, Slack messages, or CRM updates | **Integration Triggers** |
 | Run a report every morning or weekly | **Scheduled Triggers** |
 | Send follow-ups or reminders at a future time | **Scheduled Messages** |
 | Connect a third-party service like Zapier | **Integration Triggers** (external) |
 | Receive data from my own app or website | **Webhook Trigger** |
 | Trigger my Agent over HTTP from any language | **API Trigger** |
 | Build a JavaScript or TypeScript app on top of my Agent | **JavaScript SDK** |

diff --git a/build/agents/create-an-agent.mdx b/build/agents/create-an-agent.mdx
@@ -68,6 +68,10 @@ Great when you have a common use case — like lead qualification, meeting prep,
 
 ## Option 3: Build from scratch
 
+<Info>
+  New to Relevance AI? [Relevance AI Academy](https://relevanceai.com/academy) has structured courses that walk you through building on the platform step by step.
+</Info>
+
 Full control from the ground up. Best if you have a specific workflow in mind.
 
 ![The Agent builder — configure your prompt, Tools, and Knowledge from scratch.](/images/build-platform-overview.png)

diff --git a/build/agents/evals/introduction.mdx b/build/agents/evals/introduction.mdx
@@ -1,11 +1,15 @@
 ---
 title: 'Introduction to Evals'
 sidebarTitle: 'Introduction to Evals'
 description: 'Test and evaluate Agents and Workforces with simulated conversations and reusable scoring criteria'
 ---
 
 Evals is where you test and measure performance. It works on both Agents and Workforces, and lives in the **Evaluate** tab of the Agent or Workforce builder, next to **Build** and **Run**. Use it to create Test sets, define reusable scoring criteria, run evaluations, and monitor quality on live conversations.
 
+<Info>
+  New to Relevance AI? [Relevance AI Academy](https://relevanceai.com/academy) has structured courses that walk you through building on the platform step by step.
+</Info>
+
 <div
   className="video-embed"
   style={{
@@ -30,11 +34,11 @@
  ></iframe>
 </div>

 ## Why use Evals?

 Any time you put an Agent to work, you want to be sure it's accomplishing your business outcomes. That might be increasing marketing qualified leads, or reducing the time it takes to respond to a lead. Evals gives you the confidence that your Agent is hitting the mark with its target audience — and that it still does after the next change.

 You write Tests that simulate the users and situations you care about, and Evals scores each one against success criteria you define. Agents and Workforces are non-deterministic — the same input can produce a different answer, and a change to a prompt, a Tool, or a model can shift behavior somewhere you weren't looking — so holding the Tests and the criteria steady is what makes one version's score comparable to the next.

 <CardGroup cols={3}>
  <Card title="Run Tests" icon="flask-vial">
@@ -50,11 +54,11 @@

 ---

 ## Overview of Evals

 Evals has five core features, each with its own section in the left sidebar of the Evaluate tab:

 - **Test** — Create and manage Test sets. Each Test set holds Tests that simulate users; running a Test produces a conversation with the Agent or Workforce that gets scored by the criteria you attach.
 - **Runs** — Past evaluation run results. Browse average scores, tasks evaluated, progress status, cost (Credits and Actions), and creation date for every run.
 - **Checks** — Your library of scoring criteria; each one is called a Check. Create a Check once, then attach it to Tests, to Monitor dashboards, or to one-off evaluations of completed tasks.
 - **Publish** — Choose which Test sets must pass before your Agent or Workforce can be published. Set a minimum pass rate and optionally block publishing on failure.
@@ -95,7 +99,7 @@

 <AccordionGroup>
  <Accordion title="I don't see the Evaluate tab. How do I get access?">
    Evals is available on every plan. The **Evaluate** tab sits next to **Build** and **Run** in the Agent or Workforce builder — if it isn't there, [contact support](/get-started/support).
  </Accordion>

  <Accordion title="How are evaluations billed?">

diff --git a/build/knowledge/create-knowledge.mdx b/build/knowledge/create-knowledge.mdx
@@ -10,6 +10,10 @@
 
 ## Creating Knowledge Sources
 
+<Info>
+  New to Relevance AI? [Relevance AI Academy](https://relevanceai.com/academy) has structured courses that walk you through building on the platform step by step.
+</Info>
+
 Relevance AI offers multiple flexible approaches to create knowledge, accommodating various information types and sources:
 
 ### Manual Input
@@ -60,7 +64,7 @@

 <Card title="Google Drive" href="/build/knowledge/integrated-knowledge-sources/google-drive" icon="google-drive">Use Google Drive as a source of Knowledge for your Agents</Card>

 <Card title="Sharepoint" href="/build/knowledge/integrated-knowledge-sources/sharepoint" icon="microsoft">Connect to Sharepoint as a source of Knowledge for your Agents</Card>

 <Card title="Notion" href="/build/knowledge/integrated-knowledge-sources/notion" icon="notion">Use Notion as a source of Knowledge for your Agents</Card>

@@ -120,7 +124,7 @@

 ### Semantic Organization

 Enhance retrievability with semantic approaches:

 1. Use consistent terminology throughout your knowledge bases
 2. Consider adding synonyms or alternative phrasings for important concepts
@@ -190,4 +194,4 @@
 
 - [Access Knowledge](https://relevanceai.com/docs/build/knowledge/access-knowledge): Learn how to configure how your agents and tools access and use your knowledge bases.
 - [Enrich with Tool](https://relevanceai.com/docs/build/knowledge/enrich-with-tool): Discover how to enhance your knowledge bases with additional context using tools.
-- [Advanced Knowledge Retrieval](https://relevanceai.com/docs/build/knowledge/advanced-knowledge-retrieval): Explore advanced techniques for optimizing how your agents retrieve and use knowledge.
+- [Advanced Knowledge Retrieval](https://relevanceai.com/docs/build/knowledge/advanced-knowledge-retrieval): Explore advanced techniques for optimizing how your agents retrieve and use knowledge.
diff --git a/build/tools/create-a-tool.mdx b/build/tools/create-a-tool.mdx
@@ -28,6 +28,10 @@ This guide walks you through creating a Tool. For an overview of what Tools are
 
 ## Option 2: Build from scratch
 
+<Info>
+  New to Relevance AI? [Relevance AI Academy](https://relevanceai.com/academy) has structured courses that walk you through building on the platform step by step.
+</Info>
+
 1. Click **Tools** in the left sidebar
 2. Click **+ New Tool**
 3. Select **Start from scratch**

diff --git a/build/workforces/create-a-workforce.mdx b/build/workforces/create-a-workforce.mdx
@@ -17,6 +17,10 @@ This guide walks you through creating a Workforce. For an overview of what Workf
 
 ## Create your first Workforce
 
+<Info>
+  New to Relevance AI? [Relevance AI Academy](https://relevanceai.com/academy) has structured courses that walk you through building on the platform step by step.
+</Info>
+
 1. Click **Workforce** in the left sidebar
 2. Click **+ New Workforce** to open the visual canvas
 3. Add your Agents to the canvas by dragging them from the sidebar

diff --git a/get-started/introduction.mdx b/get-started/introduction.mdx
@@ -14,7 +14,7 @@

 Traditional automation tools require rigid workflows and constant maintenance. AI agents are different—they think, adapt, and learn from experience. With Relevance AI, you can:

 - **Deploy agents in minutes** using our no-code builder or pre-built templates
 - **Scale on demand** without hiring or training new team members
 - **Integrate seamlessly** with your existing tools and workflows
 - **Maintain control** with human oversight and approval workflows
@@ -89,7 +89,7 @@
    icon="screwdriver-wrench"
    href="/get-started/core-concepts/tools"
  >
    No-code workflow builder for integrations and automations
  </Card>
  <Card
    title="Marketplace"
@@ -140,7 +140,14 @@
 
 ## Learning Resources
 
-<CardGroup cols={2}>
+<CardGroup cols={3}>
+  <Card
+    title="Academy"
+    icon="graduation-cap"
+    href="https://relevanceai.com/academy"
+  >
+    Structured courses and tutorials to master Relevance AI
+  </Card>
   <Card
     title="Community"
     icon="users"

diff --git a/get-started/quick-start-guide.mdx b/get-started/quick-start-guide.mdx
@@ -119,7 +119,7 @@

 ![Relevance Chat — @ mention any Agent and interact with it directly.](/images/quickstart-chat.png)

 [Relevance Chat](/get-started/chat/introduction) is a conversational interface where you and your team interact with your agents directly. Type a message, @ mention any agent in your project, and it will handle the task using the tools and knowledge you've configured. You can switch between LLMs, combine multiple agents in a single conversation, save prompts your team uses often, and @ mention project files to insert their paths directly into your message. Chat also comes with built-in agents for things like building websites, generating images, deep research, and creating presentations.

 Visit [chat.relevanceai.com](https://chat.relevanceai.com) to get started — it works on desktop and mobile.

@@ -131,6 +131,10 @@
 
 Prefer to work from your terminal? Connect your AI coding environment — Claude Code, Cursor, or any MCP-compatible client — to Relevance AI over MCP. Describe what you want in natural language and your AI assistant builds and edits your Agents, Tools, and Workforces directly. See [MCP & Plugins](/get-started/core-concepts/mcp-plugins) to get started.
 
+### Learn with Academy
+
+[Relevance AI Academy](https://relevanceai.com/academy) offers structured courses and tutorials that take you from your first agent to production-grade workforces — at your own pace.
+
 ---
 
 Ready to go deeper? Head to [Build with Relevance AI](/build/introduction) for a full breakdown of how to configure agents, tools, knowledge, and multi-agent workforces.