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Most people use Claude Code as one session doing one thing. This lead mag is about using it the way it's built to be used - multiple agents running in parallel, managed from one view, each focused on a single job. Covers Agent View, parallel workflow patterns, sub-agents, Goal, Outcomes, and keeping sessions lean.
Section 1Why Multi-Agent: The Case for Running Parallel Claude Code Sessions
Most people use Claude Code as one session doing one thing at a time. That's like having a team of developers and only letting one person work at once. Multi-agent building means spinning up parallel sessions, giving each one a specific job, and managing all of them from a single view. This module covers why it matters and how to think about it.
Why single-session Claude Code is the slow way
The bottleneck isn't intelligence. It's sequencing.
What a multi-agent GTM setup actually looks like
Three agent types worth knowing
When to use each
The credit and context reality
More agents = more usage
Section 2Agent View: One Tab to Manage Every Running Session
Agent View is the command centre for multi-agent Claude Code. Instead of five terminal tabs where you can't tell which session is doing what, you get one view showing every session's status. Navigate with arrow keys, respond without entering sessions, kill what you don't need.
Open Agent View
Two ways to get there
Read the status indicators
Know what each session needs at a glance
Launch new sessions from Agent View
Describe a task and hit enter
Move an existing session into Agent View
/bg moves it to the background
Launch sessions in different directories
One Agent View managing multiple client projects
Respond to blocked sessions without entering them
Unblock from the overview
Kill a session
Ctrl+X twice
Section 3Parallel GTM Workflows: The Patterns That Actually Work
The patterns that actually work for GTM teams running multiple Claude Code agents. Three setups you can run today, each with the exact structure to follow.
The parallel GTM sprint
Three sessions, one Agent View, full pipeline output
The multi-client agency setup
One session per client, all running simultaneously
Sub-agents for complex research
Tell the main session to use sub-agents
Git worktrees for truly parallel builds
Same project, multiple agents, no overwriting
Hooks for notifications when sessions finish
Know when something needs you without watching the terminal
Section 4Goal and Outcomes: Let Agents Iterate Until They Get It Right
Goal lets you set an objective and have Claude iterate until it hits it - running for hours if needed, adjusting its approach each time. The Outcomes feature in Managed Agents does the same thing via the API with a rubric file. Both are built for the same problem: complex tasks that need multiple attempts to get right.
The /goal command in Claude Code
Set an objective. Walk away. Come back to a result.
Write a Goal prompt that actually gets there
Outcomes in Claude Managed Agents (API)
The API version of Goal - with a rubric file
Multi-agent framework via Managed Agents API
Define a team of agents programmatically
Section 5Keeping Multi-Agent Sessions Lean: Credits, Context, and Model Selection
Multiple concurrent sessions burn through credits and context faster than a single session. These are the habits that keep multi-agent setups running efficiently without sessions degrading or limits running out mid-workflow.
One job per session
Focused sessions cost less and produce better output
Compact at 60% context
Don't wait until the session degrades
Disconnect unused MCP servers
Every connected MCP loads on every message
Haiku for sub-agents, Sonnet or Opus for orchestration
Match the model to the task
Early exit when a session goes wrong
Don't let it run to completion in the wrong direction
The session handoff for continuity
Transfer knowledge between sessions without losing context
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