Agent Swarms: Multi-Agent Orchestration with Grok Build

The problem

One good agent is useful. Then you try to scale it:

• It's sequential. One agent, one task, one context window that fills up as the job grows.
• Parallel agents collide. Two agents editing the same checkout overwrite each other.
• Handoffs are mush. Agent A's free-text output becomes agent B's confused input.
• Agents say "all tests pass" when they don't. Without an independent gate, you're trusting the claim.
• Multi-agent costs more, and nobody tells you when it's worth it. Each child rebuilds context. Sometimes a single agent is the better design.

Why this, why now: Multi-agent architecture appeared in 369 open agentic roles in September 2026 (Agentic Ready, Agentic AI Jobs Index). Senior agentic AI engineers in the US earn about $210K–$290K base (KORE1, Agentic AI Engineering Hiring Survey 2026). Recruiters screen specifically for planner/worker/reviewer workflows (GSDC). (Market data, not a promise of any job or salary outcome.)

The transformation

Before: you drive one agent by hand, one prompt at a time.

After one day:

• You choose the right orchestration pattern (chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer) and can say when multi-agent hurts more than it helps.
• You delegate to Grok Build subagents with the right type (general-purpose, explore, plan), isolation (shared or git worktree), and context.
• You define custom agents and personas with input/output contracts that chain cleanly.
• You run long-running and recurring agent work safely with /loop, background tasks, and the Agent Dashboard, and you've seen /goal (opt-in) in action.
• You've built your own orchestration client on the Agent Client Protocol (grok agent stdio) that drives several Grok sessions and enforces a budget.
• You can explain where A2A fits for agent-to-agent delegation across organizations, compared with MCP and ACP.

What you'll build

About 75% of the day is hands-on, on a real monorepo.

Lab 1 · Parallel Agents on a Real Codebase (75 min) On shopline, a monorepo with a web frontend, API, and worker, fan out three explore subagents in parallel to map the architecture and find the root cause of a seeded p99 latency regression. Define personas (security-reviewer, test-writer) with I/O contracts, plus custom agent definitions. Then implement two independent features at the same time in separate git worktrees, and measure wall-clock time, tokens, and defects against a single agent doing both.

Lab 2 · Build Your Own Orchestrator with ACP (60 min) Speak the Agent Client Protocol directly: initialize, session/new, session/prompt, and streamed session/update events. Your Python client starts grok agent stdio, runs three sessions in parallel, streams tool calls and messages into a live terminal dashboard, and cancels any session that blows its tool-call budget. You rehearse it against a mock agent, then run it on real Grok Build.

Capstone · Agent Dev Team (80 min build + demos) An orchestrator that takes issue files and runs a full pipeline on headless Grok Build:

planner (read-only) → parallel implementers (one worktree each) → test-writer → deterministic test gate → security-reviewer → a PR-ready branch and review.md. Every handoff uses a declared contract. A Stop hook keeps implementers working until tests pass. Your gate runs the tests itself, so it catches the implementer that claims success but changed nothing. You present a trace of every run with timings and token counts.

You leave with: a reusable multi-agent orchestrator, an ACP client, and a portfolio-ready repo.

Who it's for

• Engineers, tech leads, and solution architects who already build single agents
• Teams that want planner/worker/reviewer pipelines for real engineering work
• Builders who want to create their own agent apps and orchestration tools on top of Grok Build

Who it's not for

• First-time agent builders. Start with Course 1 (Tue Oct 27) and Course 2 (Thu Oct 29).
• Anyone not comfortable with Git branches. We review worktrees briefly, but solid Git is assumed.
• People who want "more agents" for its own sake. A core part of this day is learning when not to go multi-agent.

Live on Zoom, instructor-led, about 75% hands-on. The join link is sent 4 days before class starts. A recording is included for paid attendees.

Logistics

FAQ

What do I need to pay for besides the seat? Each student is granted a Grok token certificate worth $25 for use in that class. It covers the Grok tokens and the xAI API-key credit used during the day.

Do I need Courses 1 and 2 first? Not if you have equivalent experience: you've built a tool-using agent, you've worked with MCP or an agent framework or raw API, you're solid with Git, and you can work in Python or TypeScript.

Is multi-agent always better? No, and Module 1 says so up front. Parallel subagents are usually faster on wall-clock time but spend more tokens, because each child rebuilds its own context. In Lab 1 you measure that tradeoff yourself on the same tasks.

Do parallel runs use more tokens? Yes. Parallel children multiply token use against the $25 Grok token certificate for this class. The capstone's real runs start with one issue per learner, the dry run uses an offline stand-in, and the instructor has a fallback key or model if limits hit.

Are /goal and background workflows stable? /goal is opt-in: it appears only when the goal feature is enabled. Background workflows and /deep-research are newer and lightly documented. We demo them as optional features. The core labs use documented features: subagents, worktrees, personas, custom agents, /loop, the dashboard, headless mode, and ACP.

Can I connect my own editor or app to Grok Build? Yes. That's what ACP is for. Grok Build runs as an agent server (grok agent stdio, or grok agent serve over WebSocket). Official ACP SDKs exist in TypeScript, Rust, Python, Go, and Kotlin. Zed, Neovim, Emacs, and marimo are supported clients, and JetBrains support is listed as "coming soon."

Will anything get pushed to my repos? No. The capstone produces PR-ready branches in local worktrees and never pushes or merges. Deny rules block git push.

Is this course affiliated with xAI or SpaceXSI? No. This is an independent course. See the disclaimer below.

Final CTA

One agent is a helper. A coordinated team, with contracts and gates, is a pipeline.

Tuesday, November 3, 2026 · 9:00 AM–5:00 PM ET · $750

Register and pay, $750

Questions? Use the contact form.

Delivered by Vaughn Bullard · BDArgentumAI.

Disclaimer: Grok Build is a product of SpaceXSI (formerly xAI). This course is independent and is not affiliated with, sponsored by, or endorsed by SpaceXSI or xAI. Product names belong to their owners. Grok Build features and subscription plans change often; course content follows the official documentation as of the class date.

Sources for claims on this page: Agentic Ready, Agentic AI Jobs Index, September 2026; KORE1, Agentic AI Engineering Hiring Survey 2026; GSDC, Agentic AI Developer Jobs & Salary Report.

• ✓ Choose the right orchestration pattern (chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer) and recognize when multi-agent setups hurt more than they help.
• ✓ Delegate work to Grok Build subagents with the right type, isolation (shared vs worktree), and context.
• ✓ Define custom agents and personas with input/output contracts that chain cleanly.
• ✓ Run long-running and recurring agent work safely with /goal (opt-in), /loop, background tasks, and the Agent Dashboard.
• ✓ Build your own orchestration client on the Agent Client Protocol (grok agent stdio).
• ✓ Explain where A2A fits for agent-to-agent delegation across organizations.

• ✓ A reusable multi-agent orchestrator, an ACP client, and a portfolio-ready repo
• ✓ The shopline monorepo with a seeded bug and an issue backlog
• ✓ Persona and agent templates, an ACP client starter, an orchestration-pattern decision card, the lab guide, and slides
• ✓ Live Zoom session, 9:00 AM–5:00 PM US Eastern
• ✓ Recording for paid attendees
• ✓ A Grok token certificate worth $25 for use in this class
• ✓ Certificate of completion (issuance criteria confirmed in class)

1. 9:00–12:00 · Morning
   When a team of agents helps and when it does not, then parallel work on a monorepo in separate git worktrees.
2. 12:00–1:00 · Lunch
3. 1:00–2:45 · Afternoon
   Long-running agent work, and an orchestrator client that runs sessions in parallel and stops one that overspends its tool-call budget.
4. 3:00–4:45 · Capstone
   An agent dev team: planner, parallel implementers, a test-writer, a gate that runs the tests itself, and a security reviewer. Nothing is pushed.
5. 4:45–5:00 · Wrap
   Takeaways and what production readiness adds two days later.

A certificate of completion is part of the day. Issuance criteria are confirmed in class. Questions go through the contact form.