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FOR AI ENGINEERING TEAMS

Keep an AI system definition alongside the work.

Viorant helps AI engineering teams preserve the system context around their work: meaningful components remain artifacts, `.vio` records their composition, and the definition can move through verification and supported deployment workflows.

Editorial visual for AI engineering teams
AI SYSTEM RECORD
01
ArtifactsSigned, versioned system parts
02
.vioPortable system composition
03
Supported targetExplicit transformation or deployment choice
WHAT THIS MAKES POSSIBLE

Make the AI system easier to understand.

01

Keep the context with the system

Record the artifacts, relationships, and declared deployment choices that together describe the AI system you are building.

02

Make review concrete

Use a portable `.vio` definition as the subject of engineering review instead of reconstructing system context from scattered locations.

03

Choose the next surface deliberately

Use Hub as an optional local-first workspace, Trust for stated evidence verification, and Helix for supported targets when those surfaces fit your workflow.

USE CASES

Put the system record to work.

Three practical ways ai engineering teams can use a declared AI system boundary to move a real decision forward.

01USE CASE

Review a system change with its surrounding context

Situation. A pull request changes a tool, prompt, policy, or model setting, but the practical effect depends on how the wider AI system is composed.

Bring the component change and the system definition into the same engineering review.

  1. 01Keep the changed part identifiable as an artifact with its own version and stated evidence.
  2. 02Update the `.vio` composition to show the relationship that makes the change relevant.
  3. 03Review the complete declared system before preparing it for an explicitly supported target.

Review point. Would another engineer understand the change without reconstructing the rest of the system?

02USE CASE

Reproduce the context of a release candidate

Situation. An engineer needs to understand what was intended for a candidate release, not merely retrieve a collection of source files.

Use the definition as a portable record of the declared composition at the point of review.

  1. 01Identify the artifact versions and relationships that belong to the candidate.
  2. 02Compose or inspect the corresponding `.vio` definition.
  3. 03Verify stated artifact identity and evidence with Trust if the review requires it.

Review point. Is the candidate defined by a visible composition rather than a memory of which files were involved?

03USE CASE

Hand an AI system between builders

Situation. One engineer or squad takes over work that was developed by another, with operational assumptions scattered across tools.

Treat the handoff as a review of the declared system boundary, not as a folder transfer.

  1. 01Walk the incoming team through the artifacts and their roles in the system.
  2. 02Review the `.vio` composition and its current target choice together.
  3. 03Record any ownership or composition change before the new team continues delivery.

Review point. What can the receiving team verify directly, and what remains an assumption to resolve?

THE DEPLOYMENT PATH

From system parts to a supported target.

A `.vio` definition keeps the complete AI system composition legible through the next workflow decision.

  1. 01

    Treat meaningful prompts, tools, policies, and other system parts as artifacts.

  2. 02

    Compose the intended system in `.vio` alongside the engineering work.

  3. 03

    Verify artifact evidence with Trust when your review requires it.

  4. 04

    Transform or deploy with Helix only to explicitly supported targets.

QUESTIONS, ANSWERED

For AI engineering teams.

01Does `.vio` make AI behavior identical everywhere?

No. A `.vio` definition records a portable composition; behavior and support depend on the explicit deployment target and its environment.

02What is the relationship between artifacts and `.vio`?

Artifacts retain their own identity. `.vio` composes those artifacts into the complete system definition.

03Where does Hub fit?

Hub is an optional local-first workspace for working with definitions and artifacts. It is not the definition’s only possible surface.

AI DEPLOYMENT INFRASTRUCTURE

Start with a system record your team can review.

Explore the local-first Hub workspace or talk with Viorant about the deployment path you are considering.

Viorant

Viorant builds AI Deployment Infrastructure.