TRUST ARCHITECTURE
Fast enough for AI.
Strict enough for commerce.
LSTWRK handles real products, customer claims, marketplace permissions, shipping data, and money. The system is therefore designed around evidence, least privilege, approval gates, and recoverable external actions.
Inspect the controlsGATEmarketplace write boundary
OPERATING PRINCIPLES
Trust is not a legal page.
It is product behavior.
These rules must be visible in the interface and enforced in the domain layer—not left to a prompt or a support policy.
SELLER CONTROL
AI can prepare and recommend. Price, consequential claims, policy exceptions, and marketplace publication remain governed by seller approval.
EVIDENCE BEFORE CLAIM
A polished sentence does not become true because a model wrote it. Public claims need an evidence source and verification state.
MINIMUM PERMISSIONS
Marketplace access is scoped to the operations the product actually needs. Tokens are encrypted, revocable, and isolated by workspace.
IMMUTABLE ORIGINALS
The source capture remains private and unchanged. Derivatives retain lineage back to the source asset and transformation history.
VISIBLE UNCERTAINTY
Estimated price, package weight, dimensions, identity, and function remain visibly distinct from confirmed values.
AUDITABLE ACTIONS
Important user, agent, and external marketplace actions produce an append-only audit event with actor, timestamp, input, and result.
CONTROL PLANE
Every critical boundary
has an explicit control.
Marketplace write gate
A deployment kill switch and per-item approval state stand between a draft and an external write.
Image integrity
Source originals, derivative classes, transformation lineage, and documentary difference checks.
Workspace isolation
Item data, fingerprints, media, tokens, jobs, and audit events remain scoped to the owning workspace.
External action recovery
Idempotency where supported; state lookup and reconciliation when a write result is ambiguous.
Truth Preflight
Unsupported claims, policy conflict, guessed package facts, and likely duplicate records block publication.
Retention & deletion
Defined retention classes, export and deletion workflows, backup handling, and legal-hold exceptions.
DATA FLOW
The original photo does not need to become public.
Private originals can support identity, condition, disputes, and derivative checks while only approved documentary images enter a marketplace image set. Sensitive metadata and internal notes remain excluded from buyer-facing Evidence Passports.
CLEAR ANSWERS
What LSTWRK will not pretend.
Does AI authenticate luxury items?＋
No. It can organize evidence, identify candidate references, flag risk, and request expert review. It cannot guarantee authenticity.
Can it infer that electronics work?＋
No. Visible condition is not hidden functionality. A public function claim requires a documented seller test or an appropriate qualified source.
Will it automatically publish anything it creates?＋
No. Consequential marketplace writes remain behind configured policy and seller approval gates.
Are generated lifestyle images the same as documentary photos?＋
No. Synthetic context is a separate asset class and is never silently represented as a photograph of the actual item in a real environment.
Is the service production-secure today?＋
The security architecture and controls are specified in the framework. Production readiness still requires deployed infrastructure, credential management, penetration testing, monitoring, and operational review.
TRUSTED AUTOMATION STARTS WITH A BOUNDARY