Context is scattered
State, history, alerts, and user intent live in different tools that do not share one view of the environment.
ORION product overview
One control layer for AI, automations, and connected systems.
ORION is being built to understand a request, gather the right context, choose an approved workflow, and check whether the systems involved reached the intended state.
The problem
Connected systems already have plenty of dashboards. What they lack is shared context and reliable follow through.
A connected environment can include AI models, automation software, sensors, cameras, APIs, local services, and devices. Each tool sees only part of what is happening. ORION brings those pieces into one operating model.
Models need boundaries
An AI model can interpret and plan, but actual control should pass through approved tools, permissions, and workflows.
Automations can fail quietly
Sending a command is not the same as completing the task. ORION is built around checking the result.
Current product interfaces
Three interfaces, each built for a different job.
These screens use the authentic ORION frontend in the safe public demonstration. The private development deployment uses the same interface code with live services and system state, while the public version uses simulated data and no private access.
Shows what is ready, what needs attention, and what ORION cannot confirm from the available system state.
Brings service health, automation activity, connected devices, common actions, diagnostics, and alerts into one place.
Provides a simple command grid for routines, cameras, diagnostics, event history, Home Assistant, n8n, and connected services.
Current implementation
The V1 stack is built around one source of truth and structured action contracts.
The browser views do not contain private credentials or direct device-control logic. A local Node.js service reads system state, applies capability and policy rules, routes approved actions, records events, and returns structured verification results.
Application and control layer
- Stable status, events, links, and action endpoints
- Native Home Assistant actions with postcondition checks
- Defined n8n action contract for workflow-backed routines
- Attention items that separate active problems from event history
- Browser interfaces that display offline and uncertain states honestly
Testing and release hygiene
- Deterministic tests for status and action contracts
- Security and verification behavior checks
- Notification and attention-policy tests
- Public-link and release-audit checks
- Secrets kept outside the browser-facing application
Safe public environment
Try the product flow without connecting to a real home or account.
The demo runs entirely in the browser, uses clearly labeled sample data, and simulates verification responses. No private camera, device, Home Assistant, n8n, or local-network access is exposed.
Why AI is core
Without AI, ORION would only be another dashboard.
AI is the decision layer. It interprets natural language, weighs context, helps plan the next step, chooses a structured tool, summarizes events, and explains uncertainty in a way a person can act on.
Intent
Turn a request into a clear goal that the system can act on.
Context
Use live state, recent events, preferences, rules, and relevant memory.
Planning
Select a safe sequence of approved tools and workflows.
Explanation
Describe what happened, what failed, and what could not be confirmed.
Request flow
From request to checked result.
The model helps decide what should happen. It does not receive unrestricted control. ORION sends approved actions through defined tools, then checks observable state before reporting the outcome.
- 1. RequestUser command, scheduled routine, sensor event, or system alert
- 2. ContextLive state, event history, rules, preferences, and relevant memory
- 3. AI decisionIntent, planning, structured output, and tool selection
- 4. Approved routeDefined APIs, workflows, permissions, and local services
- 5. ExecutionHome Assistant, n8n, devices, cameras, and connected services
- 6. Outcome checkObserved state, exceptions, confidence, and a clear report
Starting point
Built first in a connected home and homelab.
The first test environment has real devices, services, automations, cameras, routines, and changing state. It creates practical problems that a polished demo cannot reproduce, including outages, unavailable integrations, partial completion, and actions that need a second check.
Current connected systems
- Home Assistant for devices and environmental state
- n8n for automation workflows
- Local services and system health checks
- Cameras, routines, diagnostics, and quick actions
Product direction
- Repeatable setup in additional homes and homelabs
- Support for small offices and connected workspaces
- Secure remote access and cloud supported services
- More integrations without locking the product to one vendor
Development status
What is working, and what is being expanded.
Current product surfaces
- Browser based application with responsive control views
- Command Center, Dashboard, and Guard Mode
- System health, diagnostics, alerts, and attention states
- Quick actions and automation control surfaces
- Status visibility for Home Assistant, n8n, devices, and services
- Clear display of offline, unavailable, and unconfirmed state
Intelligence and deployment work
- Persistent memory and semantic retrieval
- Deeper model planning and structured tool use
- Expanded policy checks and outcome verification
- Multimodal event and environmental understanding
- Secure remote services and cloud supported features
- Deployment support for additional users and environments
ORION is working software in active development and is not yet generally commercially available. The public demonstration uses simulated data and does not connect to private production systems.
Product principles
Local control where it matters. Cloud services where they help.
Local control
Sensitive state and control logic can stay close to the environment.
Model choice
The architecture can use local or cloud models as requirements change.
Visible failures
Offline services, uncertainty, and failed checks should be shown clearly.
Open integrations
Defined interfaces make it possible to add tools and services over time.
Product inquiries
ORION is being actively developed by TylerInnovated.
For questions about the product, infrastructure, technical collaboration, or future partnerships, contact TylerInnovated at the business email below.