Supercharge your AI automation

Whether you need true process standardization, support for development frameworks, your choice of automation tooling, or custom metrics, unlock the full power of agentic engineering with Spaces AI Orchestration.

Build a well-oiled machine just the way you like it

Create consistency across agentic work while preserving the flexibility to work with your existing stack.

01

Workflow standardization

Create repeatable workflows in Spaces or with frameworks such as BMAD and OpenSpec.

02

Workflow measurement

Track rework, cycles, transitions, and performance across complete workflows and individual steps.

03

Add an orchestrator

Use the Spaces orchestrator, connect n8n, or bring your own.

04

Custom metrics

Connect the signals unique to your product, process, models, and production environment.

05

API & SDK access

Build integrations across tasks, plans, workflows, metrics, and your internal tools.

A method to your magic

Use workflows to define processes and ensure they’re followed every time

Create workflows that follow your process, or take full advantage of BMAD or OpenSpec. Decide which steps should run automatically, which should remain manual, and when work moves from one step to the next.

When a workflow runs through Spaces, standardize the prompt, agent, model, skills, and more for every agentic step. The Spaces orchestration harness keeps every run consistent with the process you designed.

Workflow canvas
startAgent planning step
Spec
Define the approach
Agent implementation step
Implement
Build the change
Agent review step
QA / Review
Check the work
Agent implementation step
Tests
Verify behavior
finishAgent implementation step
Ship
Deploy safely
Step 02 of 05
Implement
Agent step
Prompt
Implement the approved spec exactly. Follow @repo-conventions. Stop at the first failing test and report back.
Modelclaude-sonnet-4.5
Skills · pinned
repo-conventionstest-firstno-schema-edits
Transitions
on self-check completeQuality assurance / review
on incomplete spec / feedbackbackwardsSpec
See what you did there

Feel the power of full observability

Turn every workflow into a source of insight, so you can eliminate hidden friction, improve consistency, and focus improvements where they’ll have the greatest impact on throughput, predictability, and quality.

See how each process and each change impacts your KPIs.

New metrics
Backwards transitions
3−67%
per 100 tasks · 6-week trend
Rework rate
12%−19 pts
tasks reopened after review
Cycles before production
2.4−5.6
avg AI cycles per task
New dimensions
6-week trend · grouped by workflow
12%latest
Standard engineeringW6 · 2.9 pts · 24%
Code reviewW6 · 1.9 pts · 16%
High securityW6 · 1.7 pts · 14%
Security-gated engineeringW6 · 1.8 pts · 15%
SupportW6 · 1.2 pts · 10%
Incident responseW6 · 1.4 pts · 12%
Release readinessW6 · 1.1 pts · 9%
Now that’s coordination

Use our orchestrator or bring your own

Let Spaces orchestrate the work, connect n8n, or bring your own with our API and SDK—and unlock a new level of visibility into how every workflow performs.

Made to measure

Extend our metrics with your own

Use the API to log custom metrics. Track model performance in production, tag work with your own categories, capture internal quality scores, or more. Let your creativity shape dashboards that answer the questions only your team knows to ask.

POST /v1/metricsYour system
{ "name": "model.production_grade", "value": 0.76, "tags": { "model": "sonnet-4.5" } }
model.production_grade · avgCustom metric
0.76
5:305:405:506:006:106:20
category: refactormodel: sonnet-4.5workflow: delivery
Calling all builders

Spaces API and SDK access

Build your own custom integrations on top of the Spaces platform. Access tasks, plans, log metrics, manage workflows, and more.

TasksPlansMetricsWorkflows
orchestrator.tsSpaces SDK
import { Spaces } from '@spaces/sdk'

const spaces = new Spaces({ apiKey: process.env.SPACES_KEY })

// advance a workflow step from your own harness
const step = await spaces.workflows.steps.complete({
  taskId: 'tsk_8fd21', step: 'implement', outcome: 'passed',
})

// log a custom metric against the same task
await spaces.metrics.log({
  name: 'model.production_grade', value: 0.94,
  tags: { workflow: 'delivery', step: step.name },
})

Put your best process in motion.

Explore what’s possible when you extend Spaces with the freedom to structure, automate, and measure work your way.