This route promotes the existing standard into a first-class public surface for reviewers and counterparties.
Use AI imagery without borrowing false proof.
White Noise uses generated bitmap visuals as strategic public-positioning assets. This route defines the disclosure standard that must be visible before those visuals support investor trust, enterprise credibility, product clarity, governance artifacts, or market narrative.
Every strategic generated visual needs a public disclosure trail.
Generated imagery can make a speculative company feel more coherent. The governance problem is inference drift: a polished editorial image can look like proof of a system, team, control, customer, or financing process that does not exist yet.
The current visual has a local provenance record with prompt intent, alt text, usage notes, and avoidance notes.
Generated visuals may clarify direction, but cannot substitute for operational evidence.
If the image makes White Noise look more operational than the proof allows, tighten the surrounding copy.
Save the image under the existing `assets/` convention with a stable, descriptive file name.
Describe the image plainly and identify it as AI-generated or editorial when that matters to the public claim context.
Name the public decision or narrative job the image is meant to clarify.
Say what the image must not be used to prove, especially around staffing, audits, customers, security, financing, market operations, or speculative technology.
Publish a local `.provenance.json`, board memo record, or named register entry with generator, intent, review status, and usage notes.
Refresh the record when the page role, claim state, image use, route visibility, or public evidence posture changes.
The image can orient a reviewer. It cannot carry the claim.
The disclosure standard is board-level risk control: it lets White Noise use strong visuals while making sure trust still comes from artifacts, source records, routes, permissions, and review receipts.
No operating proof by implication.
Generated visuals must not imply audited controls, production CRM, enterprise intake, legal workflow, support queue, privacy review, security review, or board operations unless separate evidence exists.
No market or financing proof.
Images may not imply live financial, token, exchange, custody, securities, liquidity, creator-payment, or formal financing processes.
No product proof for speculative systems.
Images of White Noise frontier concepts are conceptual unless supported by evidence that a specific system is deployed, tested, certified, or commercially available.
No borrowed customer evidence.
Visuals cannot stand in for named customers, partner permissions, logos, quotes, case studies, usage records, clinical validation, scientific validation, or audited metrics.
No hidden provenance when trust is the point.
If an image improves credibility or supports a public diligence route, its provenance and boundary should be discoverable from the page, index, manifest, board memo, or register.
No warmer copy around colder proof.
When a visual looks more mature than the actual evidence, adjust the copy, add a clearer boundary, or hold the image until the supporting record catches up.
Five questions before a generated image goes public.
These questions make the image useful for strategy without letting it become evidence theater.
What public decision does this image help a visitor make?
If the image only adds polish, the boundary still needs to be clear.
Could a skeptical reviewer mistake it for operating proof?
If yes, cool the surrounding language and add a visible non-proof statement.
Is the alt text descriptive without adding claims?
Alt text should describe the image, not sneak in traction or maturity language.
Does the provenance record name intent and boundaries?
The record should make origin, usage, and blocked implications easy to audit later.
Is the image listed in the right public control?
Use the materials index, image sitemap, manifest, provenance register, or board memo.