incorporate review feedback + add glossary terms

Author: micheleRP

modules/get-started/pages/cloud-overview.adoc

@@ -6,15 +6,15 @@ Redpanda Cloud is a complete data streaming and agentic data plane platform deli
 
 == Redpanda Agentic Data Plane (ADP)
 
-Redpanda ADP is an enterprise-grade infrastructure for building, deploying, and managing AI agents at scale. Redpanda ADP provides unified governance, observability, and security for agentic applications while leveraging Redpanda's streaming and analytical capabilities as the foundational data fabric.
+Redpanda ADP is an enterprise-grade infrastructure for building, deploying, and managing AI agents at scale. Redpanda ADP provides unified governance, observability, and security for agentic applications while leveraging Redpanda's streaming and analytical foundation.
 
 NOTE: The Agentic Data Plane is supported on BYOC clusters running with AWS and Redpanda version 25.3 and later.
 
 Redpanda ADP is built on open standards and protocols, allowing you to pick and choose components that fit your needs. Integrate with existing agent frameworks, data processing systems, or custom code. It includes the following key components:
 
-* **AI agents**: Deploy declarative agents or bring your own agent frameworks (LangChain, LlamaIndex, and others). Build multi-agent systems where specialized sub-agents handle specific responsibilities, following single-responsibility principles.
-* **MCP servers**: Build lightweight data and action interfaces using a low-code framework based on xref:develop:connect/about.adoc[Redpanda Connect]. Connect to hundreds of data sources (databases, cloud storage, APIs) and enforce fine-grained policies that programmatically prevent prompt injection and SQL injection attacks. MCP servers are extremely lightweight—run dozens on minimal resources—with OIDC-based access control and real-time debugging capabilities.
-* **AI Gateway**: Manage LLM provider access with cost controls, rate limiting, intelligent routing, and failover support across multiple providers.
+* **glossterm:AI agent[,AI agents]**: Deploy declarative agents or bring your own agent frameworks (such as LangChain or LlamaIndex). Build multi-agent systems where specialized glossterm:subagent[,sub-agents] handle specific responsibilities, following single-responsibility principles.
+* **glossterm:MCP server[,MCP servers]**: Build lightweight data and action interfaces using xref:develop:connect/about.adoc[Redpanda Connect] or your own hosted MCP servers. Connect to hundreds of data sources (databases, cloud storage, APIs) and enforce fine-grained policies that programmatically prevent prompt injection and SQL injection attacks. MCP servers are extremely lightweight, with OIDC-based access control and real-time debugging capabilities.
+* **AI Gateway**: Manage large language model (LLM) provider access with cost controls, rate limiting, intelligent routing, and failover support across multiple providers.
 //* **Catalog**: Maintain a centralized repository of agents, MCP servers, tools, and policies. Share components across teams and enforce organization-wide standards.
 
 === Enterprise capabilities for AI agents
@@ -25,7 +25,7 @@ Redpanda ADP addresses critical enterprise requirements for AI agent deployments
 
 *Unified authorization*: All components use OIDC-based authentication with an "on-behalf-of" authorization model. When a user invokes an agent, the agent inherits the intersection of its own permissions and the user's permissions, ensuring proper data access scoping.
 
-*Complete observability*: Redpanda ADP provides two levels of inspection: execution logs (transcripts) capture every agent action with 100% sampling using OpenTelemetry standards, while real-time debugging tools allow inspection of individual MCP server calls. Traces span across services and go as deep as needed, down to individual tool invocations with full timing data. View detailed agent actions in Redpanda Console and replay data for agent evaluations.
+*Complete observability*: Redpanda ADP provides two levels of inspection: execution logs (glossterm:transcript[,transcripts]) capture every agent action with 100% sampling using OpenTelemetry standards, while real-time debugging tools allow inspection of individual MCP server calls. Traces span across services and go as deep as needed, down to individual tool invocations with full timing data. View detailed agent actions in Redpanda Console and replay data for agent evaluations.
 
 *Compliance and audit*: For industries requiring multi-year audit trails, Redpanda ADP records every agent action and data source used in decision-making. Execution logs are stored in Redpanda topics and can be materialized to Iceberg tables for long-term retention and analysis.
 

modules/get-started/pages/whats-new-cloud.adoc

@@ -16,9 +16,9 @@ NOTE: The Agentic Data Plane is supported on BYOC clusters running with AWS and
 
 Redpanda ADP is built on open standards and protocols, allowing you to pick and choose components that fit your needs. Integrate with existing agent frameworks, data processing systems, or custom code. It includes the following key components:
 
-* **AI agents**: Deploy declarative agents or bring your own agent frameworks (LangChain, LlamaIndex, and others). Build multi-agent systems where specialized sub-agents handle specific responsibilities, following single-responsibility principles.
-* **MCP servers**: Build lightweight data and action interfaces using a low-code framework based on xref:develop:connect/about.adoc[Redpanda Connect]. Connect to hundreds of data sources (databases, cloud storage, APIs) and enforce fine-grained policies that programmatically prevent prompt injection and SQL injection attacks. MCP servers are extremely lightweight—run dozens on minimal resources—with OIDC-based access control and real-time debugging capabilities.
-* **AI Gateway**: Manage LLM provider access with cost controls, rate limiting, intelligent routing, and failover support across multiple providers.
+* **glossterm:AI agent[,AI agents]**: Deploy declarative agents or bring your own agent frameworks (LangChain, LlamaIndex, and others). Build multi-agent systems where specialized glossterm:subagent[,sub-agents] handle specific responsibilities, following single-responsibility principles.
+* **glossterm:MCP server[,MCP servers]**: Build lightweight data and action interfaces using a low-code framework based on xref:develop:connect/about.adoc[Redpanda Connect]. Connect to hundreds of data sources (databases, cloud storage, APIs) and enforce fine-grained policies that programmatically prevent prompt injection and SQL injection attacks. MCP servers are extremely lightweight—run dozens on minimal resources—with OIDC-based access control and real-time debugging capabilities.
+* **AI Gateway**: Manage large language model (LLM) provider access with cost controls, rate limiting, intelligent routing, and failover support across multiple providers.
 
 === Serverless on AWS: GA