AI Productivity

Agent Pipeline

Run your agents as ordered stages that pass work forward — research, then implement, then review — where each stage’s output becomes the next stage’s input. Quality gates let a stage reject the handoff it receives, so a careful review of a broken first draft never happens.

Agent Pipeline

More Screenshots

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The saved pipeline-write preset reopened in the Builder as Research on Claude, Draft on Grok and Edit on OpenCode, with handoff gates between stages and Start team ready in the mode bar
Mission Control tracking a running three-stage pipeline, with the Research stage on Claude Opus-5 active and Draft and Edit still queued behind their gates while stage output streams in the terminal
The Builder generate bar reading "codex implements, claude tests, opencode reviews" with the Generate button beside it, drafting a three-stage pipeline onto the canvas above the live diagram text pane

Why You Need This

How this feature boosts your daily productivity

Most coding sessions are not an org chart at all; they are a line. An org chart forces you to express that line as management relationships that do not mean anything, and then debugging a four-stage review looks like debugging a hierarchy. Pipeline is the shape those sessions actually have. Each stage names its agent and its brief, and the gate between two stages is where the value is: a stage can accept or reject what it receives, so a bad first draft goes back before the next agent spends tokens polishing it. Rejects are capped at two rounds by default, and after that the pipeline escalates to you rather than looping until you notice the spend. You can build one on the canvas, describe it in the generate bar, or write it straight into the composer — "research the auth bug, then grok drafts a fix, then opencode reviews it" is recognised as a pipeline with your current terminal as stage 1. While it runs, Mission Control shows the stage strip, so you can see which stage is live, which are queued behind their gates, and where a handoff was sent back.

How It Works

Get started in 4 simple steps

1
1

Describe the stages

Research, then implement, then review — each agent’s output becomes the next agent’s input. It is the pattern most coding sessions already follow by hand.

2
2

Put a quality gate on each handoff

A stage can accept or reject what it receives, so a polished review of a broken first draft never happens.

3
3

Cap the rejections

Rejects are limited to two rounds by default. After that the pipeline escalates to you instead of looping forever.

4
4

Start one from the composer

"research the auth bug, then grok drafts a fix, then opencode reviews it" is recognized as a pipeline, with your current terminal as stage 1.

5
5

Watch it run

Mission Control shows the stage strip, so debugging a four-stage review does not look like debugging an org chart.

Without 1DevTool

The manual way vs. the 1DevTool way

The Hard Way

# Research, implement, review — by hand
# Copy stage one’s output into stage two
# Reviewer polishes a draft that was broken
# Send it back; round three, round four
# Still looping when you come back

The 1DevTool Way

Ordered stages where output becomes the next input.
A stage can reject the handoff it receives.
Rejects cap at two rounds, then escalate to you.
One sentence in the composer starts the run.

Key Capabilities

Everything included with Agent Pipeline

Run agents as ordered stages that pass work forward
Feed each stage’s output into the next stage as input
Let a stage reject the handoff it receives
Stop a polished review of a broken first draft
Cap rejects at two rounds by default
Escalate to you instead of looping forever
Start a pipeline from a sentence in the composer
Use your current terminal as stage 1
Follow progress on the Mission Control stage strip

Why It Matters

The productivity impact of having ai productivity built into your workspace

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Power Navigation

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