ORIONPersonal intelligence, reimagined.
ORION is iMpact’s flagship product, currently in development: a computer assistant designed to use permitted context, plan visibly, act within set limits, and return work for review.
Summarize this thread and draft a reply I can edit.
- 01Understand
- 02Plan
- 03Choose tools
- 04Act
Current product scope
Capabilities we are building now.
- 01
Visual context
We are developing a permission-bound way to interpret the interface and relevant task context.
- 02
Controlled action
The product is being designed around visible steps, explicit permissions, interruptibility, and reversibility where possible.
- 03
Model routing
A provider-agnostic routing foundation is in development around capability, latency, privacy, and cost.
- 04
Accessible paths
Keyboard, voice, and assistive input are design goals being considered alongside the visual interface.
Architecture
Four layers, one accountable loop.
Select a stage to explore the accountable workflow we are building for ORION.
01 / 05
Understand
The intended flow reads the window, selection, and context you allow, then restates the task so it can be corrected before anything runs.
- 01
Context layer
Designed to read the active window, selection, and task history you permit, then build a short-lived picture of the work.
- 02
Reasoning and routing
Being developed to turn a request into a plan, then match each step to a model by capability, latency, privacy, and cost.
- 03
Action layer
Intended to run only permitted tools, one visible step at a time, with an immediate stop control.
- 04
Review and record
The design target is to return the result with its rationale and keep a readable history you can inspect, export, or delete.
Privacy and control
Boundaries are part of the product.
- Local first where it counts
- Sensitive work should stay on your machine. Where a request must leave the device, ORION says so before it happens.
- Permission, not assumption
- Access to files, apps, and the network is granted per capability and revocable at any time, without hunting through settings.
- No silent training
- Your content is not used to train models. There is no hidden opt-in and no quiet change of terms.
- Accessible by design
- Keyboard, screen-reader, and voice paths are built alongside the visual interface, not retrofitted after launch.
Direction
Current work, design targets, and open questions.
Nothing on this page describes a shipped, generally available feature.
- Visual context engine
- Permission-aware action layer
- Multi-provider routing foundation
- Keyboard and voice workflows
- Readable activity history
- Granular privacy controls
- How far on-device models can carry daily work
- Personal workflow memory without surveillance
- A safe extension interface for developers
