docs: more feedback

Author: pranavosu

src/pages/[platform]/start/mcp-server/amplify-workflows/index.mdx

@@ -338,21 +338,11 @@ To get the best results from AWS MCP Server, keep these tips in mind:
 - **Ask follow-up questions** if you need clarification on any step
 - **Request explanations** if you want to understand why certain patterns are recommended
 
-## Triggering workflows automatically
-
-The guided workflows are designed to activate naturally when you use certain phrases in your prompts:
-
-- **"Guide me through..."** or **"Walk me through..."** - Signals you want step-by-step guidance
-- **"...following Amplify best practices"** - Triggers the AI to look up recommended patterns
-- **"Help me set up..."** - Indicates you want structured assistance
-
-These phrases help your AI assistant recognize that it should use the pre-built workflows rather than generating ad-hoc solutions.
-
 ### Optional: Steering files for teams
 
-For teams that want guaranteed consistency across all developers, you can add steering files that explicitly instruct the AI to always use the workflows. This is optional—the prompt patterns above work well for most use cases.
+For guaranteed consistency across all developers, you can add steering files that instruct the AI to always use the workflows.
 
-<Accordion title="Kiro" headingLevel="3">
+<Accordion title="Amazon Kiro (IDE/CLI)" headingLevel="3">
 
 Create a steering file at `.kiro/steering/amplify.md`:
 
@@ -368,7 +358,7 @@ When working on Amplify projects, use the AWS MCP Server guided workflows:
 
 </Accordion>
 
-<Accordion title="Claude Code" headingLevel="3">
+<Accordion title="Claude (Code/Desktop)" headingLevel="3">
 
 Add to your `CLAUDE.md` file in the project root:
 

src/pages/[platform]/start/mcp-server/index.mdx

@@ -35,7 +35,7 @@ export function getStaticProps(context) {
 
 AWS MCP Server brings the power of AI coding assistants to your Amplify development workflow. Using the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/)—an open protocol that enables AI tools to access external data and capabilities—you can build, deploy, and manage fullstack Amplify applications faster than ever.
 
-Whether you're using Kiro, Cursor, Claude Desktop, or another MCP-compatible AI coding assistant, AWS MCP Server provides the context and tools your AI needs to help you build production-ready Amplify applications.
+Whether you're using Amazon Kiro, Cursor, Claude Desktop, or another MCP-compatible AI coding assistant, AWS MCP Server provides the context and tools your AI needs to help you build production-ready Amplify applications.
 
 ## Why use AWS MCP Server?
 

src/pages/[platform]/start/mcp-server/set-up-mcp/index.mdx

@@ -33,7 +33,7 @@ export function getStaticProps(context) {
 Follow the [AWS MCP Server setup guide](https://docs.aws.amazon.com/aws-mcp/latest/userguide/getting-started-aws-mcp-server.html) to configure AWS MCP Server with your AI coding assistant. The guide covers:
 
 - Installing prerequisites (AWS CLI, uv package manager)
-- Configuring your MCP client (Kiro, Cursor, Claude Desktop, and others)
+- Configuring your MCP client (Amazon Kiro, Cursor, Claude Desktop, and others)
 - Setting up AWS credentials and IAM permissions
 - Testing your connection