Keep intent connected to implementation
Record the components and relationships that define the system so a prototype does not lose its context as more people contribute.
FOR PRODUCT & INNOVATION TEAMS
Carry AI system intent from prototype to review.
Viorant helps product and innovation teams keep the intended AI system legible as ideas become engineering work: meaningful parts remain artifacts and `.vio` records the composition that can later be reviewed, verified, and prepared for supported targets.
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.
Make review a product habit
Use the `.vio` definition as a clear object for product, engineering, and governance review before choosing the next deployment step.
Avoid premature lock-in
A neutral definition keeps an AI system distinct from any one development surface or supported deployment target.
USE CASES
Put the system record to work.
Three practical ways product & innovation teams can use a declared AI system boundary to move a real decision forward.
Move a promising prototype into engineering review
Situation. An experiment has shown product value, but its prompts, tools, policies, and intended user experience are still held informally.
Turn the prototype’s meaningful composition into a reviewable system record before implementation expands.
- 01Identify the components that make the experience meaningful as artifacts.
- 02Compose the intended system in `.vio`, including what is known and what remains a decision.
- 03Review the definition with engineering and governance before selecting a supported target.
Review point. Which product assumptions are visible in the definition, and which are still only in conversation?
Conduct a cross-functional product review
Situation. Product, design, engineering, and risk teams need to discuss an AI capability but each arrives with a different representation of it.
Use the same system definition as the reference point for the discussion.
- 01Present the artifacts and relationships that define the intended experience.
- 02Use the `.vio` composition to discuss trade-offs and missing context.
- 03Record the review’s decisions as explicit composition or deployment choices.
Review point. Can each function trace its concern to a specific part of the declared system?
Delay target lock-in while clarifying the product system
Situation. The team needs to learn quickly, but committing to one runtime before the system is understood would constrain later options.
Keep the portable composition neutral while making any future target choice visible and deliberate.
- 01Define the system’s meaningful artifacts and relationships independently of the runtime.
- 02Use `.vio` to preserve the evolving composition across experiments.
- 03Evaluate an explicitly supported target only when the team is ready to make that operational choice.
Review point. What belongs to the product system itself, separate from the environment in which it will run?
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.
- 01
Name the meaningful system parts as artifacts while work is taking shape.
- 02
Compose the intended experience and deployment choices in `.vio`.
- 03
Use Trust for evidence verification where a review calls for it.
- 04
Use Helix to prepare a reviewed definition for a supported target.
THE VIORANT SYSTEM
Use the surfaces that fit your workflow.
QUESTIONS, ANSWERED
For Product & innovation teams.
01Is `.vio` only for production systems?+
No. It can describe an intended AI system as work evolves, while the supported target and operational choices remain explicit.
02Does the definition replace product requirements?+
No. It complements product requirements by recording the technical composition and declared deployment choices of the AI system.
03Can product teams use Viorant before selecting a target?+
Yes. The definition is neutral; any eventual transformation or deployment is limited to explicitly supported targets.
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.