Automated SEO fixes: lengthen short titles and trim long descriptions

src/content/docs/agents/capabilities/computer-use/browser-use.mdx

@@ -1,5 +1,5 @@
 ---
-title: Browser use
+title: Browser use for agents
 sidebar:
   label: "Browser use"
 description: >-

src/content/docs/agents/getting-started/faqs.mdx

@@ -1,5 +1,5 @@
 ---
-title: Agent FAQs
+title: Frequently asked questions about agents
 sidebar:
   label: "Agent FAQs"
 description: >-

src/content/docs/enterprise/enterprise-features/bring-your-own-llm.mdx

@@ -1,9 +1,8 @@
 ---
 title: Bring Your Own LLM
 description: >-
-  BYOLLM routes Warp's agents through your own AWS Bedrock or Google Cloud
-  (Gemini Enterprise) environment for billing control, data locality, and
-  infrastructure flexibility.
+  BYOLLM routes Warp's agents through your AWS Bedrock or Google Cloud
+  environment for billing control and data locality.
 ---
 
 Warp supports **Bring Your Own LLM (BYOLLM)** for Enterprise teams that need to run inference on their own cloud infrastructure. With BYOLLM, your team keeps using Warp's agents as usual, while eligible requests route through models hosted in your own cloud account instead of Warp's direct provider integrations.

src/content/docs/enterprise/enterprise-features/byollm-aws-bedrock.mdx

@@ -3,9 +3,8 @@ title: "BYOLLM: AWS Bedrock"
 sidebar:
   label: "BYOLLM: AWS Bedrock"
 description: >-
-  Route Warp Agent inference through your own AWS account with AWS Bedrock
-  BYOLLM. Cloud-native IAM credentials for interactive sessions and cloud
-  agents, with inference billed to your AWS account.
+  Route Warp Agent inference through your AWS account with Bedrock BYOLLM, IAM
+  credentials, and AWS-billed inference.
 ---
 
 Warp's **AWS Bedrock** BYOLLM integration routes agent inference through your own AWS account using **Amazon Bedrock**. Your team keeps using Warp's agents as usual, while eligible requests execute against Claude models hosted in your AWS account, billed to your AWS account and governed by your IAM controls.

src/content/docs/enterprise/enterprise-features/byollm-gemini-enterprise.mdx

@@ -3,9 +3,8 @@ title: "BYOLLM: Gemini Enterprise (Vertex AI)"
 sidebar:
   label: "BYOLLM: Gemini Enterprise"
 description: >-
-  Route Warp Agent inference through your own Google Cloud project with Gemini
-  Enterprise BYOLLM. Short-lived Workload Identity Federation credentials,
-  admin-controlled models, and inference billed to your GCP account.
+  Route Warp Agent inference through your Google Cloud project with Gemini
+  Enterprise BYOLLM and short-lived WIF credentials.
 ---
 
 Warp's **Gemini Enterprise** BYOLLM integration routes agent inference through your own Google Cloud project using **Vertex AI** (the Gemini Enterprise Agent Platform). Your team keeps using Warp's agents as usual, while eligible requests execute against models hosted in your GCP project, billed to your Google Cloud account and governed by your IAM controls.

src/content/docs/enterprise/enterprise-features/team-managed-keys-and-endpoints.mdx

@@ -1,8 +1,8 @@
 ---
 title: Team-managed LLM API keys and endpoints
 description: >-
-  Configure shared LLM provider API keys and custom inference endpoints for your whole team
-  from the Admin Panel, available in both interactive sessions and cloud agents.
+  Configure shared LLM provider API keys and custom endpoints for your team from
+  the Admin Panel, including cloud agents.
 ---
 import VideoEmbed from '@components/VideoEmbed.astro';
 

src/content/docs/guides/agent-workflows/build-a-self-improving-agent.mdx

@@ -1,7 +1,8 @@
 ---
 title: Build a self-improving agent
 description: >-
-  Build an outer improvement loop where a scheduled agent reviews past runs, learns from team corrections, and proposes skill file updates — so your factory gets better over time.
+  Build an outer loop where a scheduled agent reviews past runs, learns from
+  corrections, and proposes skill file updates.
 sidebar:
   label: "Build a self-improving agent"
 tags:

src/content/docs/guides/agent-workflows/run-a-software-factory-in-the-cloud.mdx

@@ -1,7 +1,8 @@
 ---
 title: Run a software factory in the cloud
 description: >-
-  Set up the Oz-native production path for your software factory: dedicated cloud environments, team-scoped secrets, native event triggers, and full audit trails for every agent run.
+  Set up the Oz-native production path for your software factory with cloud
+  environments, secrets, triggers, and audit trails.
 sidebar:
   label: "Run a software factory in the cloud"
 tags:

src/content/docs/platform/agents.mdx

@@ -1,5 +1,5 @@
 ---
-title: Cloud agents
+title: Cloud agents overview
 description: >-
   Cloud agents are how Warp runs scheduled jobs, integration triggers, CI/CD
   automation, and API-driven tasks against your team's environments.

src/content/docs/platform/runners.mdx

@@ -3,9 +3,8 @@ title: Cloud agent runners
 sidebar:
   label: "Runners"
 description: >-
-  Runners define the compute a cloud agent runs on—operating system, CPU
-  architecture, instance size, and sandbox image. Learn when to use runners and
-  how to manage them with the Oz CLI.
+  Runners define the OS, architecture, instance size, and sandbox image cloud
+  agents run on, managed with the Oz CLI.
 ---
 
 Runners define the compute a [cloud agent](/platform/) runs on: the operating system, CPU architecture, instance size, and sandbox image used to execute a run.