Platform
Outcome OS is a composable architecture where AI managers, assistants, and tools coordinate to achieve any business outcome you define.
The shell is the brain. It manages authentication, routes modules, maintains shared state, and orchestrates communication between every component. It's where your Chief of Staff lives.
Auth Context
Identity & permissions
Module Loader
Dynamic federation
Planning Service
Goal orchestration
Event Bus
Cross-module comms
Memory Layer
Context & learning
Chat Interface
Natural language control
Each manager is a specialized AI system for a business domain. It understands the domain deeply — its workflows, best practices, and decision patterns. Managers break outcomes into goals, create plans, and coordinate assistants to execute them.
Currently available
Newsletter Manager — 11 specialized agents, 14 task templates, 12 data tables, full setup-to-operations lifecycle.
Newsletter Manager
11 agents / 2-phase lifecycle
Setup Phase
Operations Phase
Finance Manager
coming soon
Onboarding Manager
coming soon
Assistants are specialized AI agents that produce work. A writer drafts articles, a researcher finds data, an analyst interprets performance. They work under manager coordination and produce artifacts for your review.
Article Writer
Long-form content
Researcher
Data & insights
Image Gen
Visual assets
Analyst
Performance data
Strategist
Planning & positioning
Editor
Review & polish
Engagement
Community content
Launcher
Go-live coordination
Cross-domain utilities available to any manager or assistant. These are the surfaces where work materializes — documents are written, data is organized, ideas are mapped.
Documents
Spreadsheets
Maps
Whiteboard
Slides
Under the hood
Each module is independently deployed and dynamically loaded at runtime. Add capabilities without rebuilding the shell.
Every AI-generated artifact is stored in Git with branch-based review workflows. Full version history and audit trail.
Three-layer memory: conversational context via mem0, outcome-aware learning, and structured entity data. Gets smarter over time.
Goals are activated by events, with watch systems for state changes and dependency resolution across modules.
14 INFORM intent patterns let you query and control the system through conversation. Ask anything about your outcomes.
AI agents execute in isolated E2B cloud sandboxes. Safe, reproducible, and fully contained artifact generation.
Artifact lifecycle
You define an outcome
"Launch a weekly design newsletter"
Manager creates a plan
Goals, milestones, and dependencies are mapped
Agent generates artifact
Work is created in an isolated sandbox branch
You review and approve
Artifact moves from sandbox to approved on merge
Next step triggers
Dependent goals activate automatically
Outcome achieved
Full audit trail preserved in Git history
Request early access and we'll walk you through the platform.