From 71cd12966496f24274c62aefa51c7f94c6103238 Mon Sep 17 00:00:00 2001 From: rachaelrenk Date: Mon, 22 Jun 2026 15:04:07 +0000 Subject: [PATCH] docs: add AEO cross-links for agents and orchestration Add internal cross-links to the 'Run 3 agents in parallel' guide, which previously had no internal links. Links the multi-agent monitoring step to the Agent Management Panel and adds next-step links to the canonical multi-agent workflow guide and multi-agent orchestration. Co-Authored-By: Oz --- ...nts-in-parallel-summarize-logs-analyze-pr-modify-ui.mdx | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/src/content/docs/guides/agent-workflows/how-to-run-3-agents-in-parallel-summarize-logs-analyze-pr-modify-ui.mdx b/src/content/docs/guides/agent-workflows/how-to-run-3-agents-in-parallel-summarize-logs-analyze-pr-modify-ui.mdx index 65323e3f..11c1f3cc 100644 --- a/src/content/docs/guides/agent-workflows/how-to-run-3-agents-in-parallel-summarize-logs-analyze-pr-modify-ui.mdx +++ b/src/content/docs/guides/agent-workflows/how-to-run-3-agents-in-parallel-summarize-logs-analyze-pr-modify-ui.mdx @@ -67,7 +67,7 @@ In the demo, we run three parallel workflows: 2. #### Monitor all agents The **task pane** in Warp shows all running agents.\ - You can view plans, progress, and results live without interrupting other tasks. + You can view plans, progress, and results live without interrupting other tasks. To track these runs across your account and team in real time, including cloud agent runs, open the [Agent Management Panel](/agent-platform/cloud-agents/managing-cloud-agents/) in the Warp app. 3. #### Review results @@ -88,3 +88,8 @@ In the demo, we run three parallel workflows: ::: + +### Next steps + +* [How to run multiple AI coding agents](/guides/agent-workflows/how-to-run-multiple-ai-coding-agents/) - Decompose tasks, assign Git worktrees, validate output, and hand off branches or PRs for review. +* [Multi-agent orchestration](/agent-platform/cloud-agents/orchestration/) - Fan parallel work out to cloud child agents when a task is too large or slow to run locally.