Begin with the visitor
Show accessible history, oral histories, tours, family learning, and a virtual Photo Booth built for different ages and abilities.
Hack for Good with a Nonprofit
See how one small museum can deliver an accessible visitor experience and manage its own history, events, media, and daily work without permanent technical dependency.
Judge-ready path
Use these stops in order for a concise demonstration, or open any area to explore independently.
Start with the story
This short film follows the visitor experience, protected staff work, and human decisions that let a small museum preserve history without surrendering authority.
Playback is always your choice. The film never starts automatically, and English captions are available from the player.
Show accessible history, oral histories, tours, family learning, and a virtual Photo Booth built for different ages and abilities.
Move behind the scenes to a museum-language dashboard: events, schedules, stories, photographs, visitor activity, and recovery.
Turn an existing announcement into a structured event draft and route “Where do I change…?” questions to the right task.
The design thesis
RailKeeper AI does not ask a small museum to become a software company. It translates museum work into understandable tasks, preserves human authority over history, and leaves behind an operating capability—not a permanent dependency.
Responsible AI in practice
Observe → gather evidence → prepare → review → approve → publish → learn. The workflow coordinates work while museum staff retain every consequential decision.
AI prepares suggestions. Museum staff verify sources, consent, context, accessibility, and the final publication decision.
The AI service boundary supports Azure OpenAI or OpenAI, remains dormant when unconfigured, and leaves the museum’s records in provider-neutral formats.
Role gates, audit records, source labels, privacy-preserving visitor signals, deployment checks, and recovery points make operation reviewable.
Accessible visitor tools and museum-language staff workflows help a local institution operate without permanent technical dependency.
Honest boundary: this page uses deterministic browser-local examples. Production AI usage and cost telemetry should remain a visible operational control before broader AI activation.
Safety boundary: this showcase never signs in as museum staff and never calls a write API. Every simulated change stays on this page until Reset.
Public experience
These links open working experiences from the real public site in a new tab. Return here to continue the guided demo.
Self-guided museum and Mercer Street journeys include transcripts, maps, and accessibility notes.
Explore toursCommunity voices remain connected to searchable transcripts, captions, context, and human review.
Hear the storiesAn accessible family activity turns observation and historical evidence into an active museum visit.
Start a missionVisitors create a railroad keepsake while their photograph remains private in the browser.
Try Photo BoothA regional experience connects museums and heritage stops without requiring an account or GPS.
Open the passportKeyboard access, readable structure, language support, audio alternatives, and plain instructions are part of the experience.
Review accessibilitySimulated staff workspace
Choose a task to demonstrate the operating model. The sample metrics and records below are intentionally fictional.
Create a draft, review dates and details, then publish to the public calendar.
A retired railroader describes work around the Princeton yard. The public record pairs the recording with a corrected transcript, speaker context, and archival source note.
Source: Museum oral-history collection · fictional demo review record
Consent, transcript, and accessibility checks are required.
Historical authority: AI may help align a transcript, but a person verifies the speaker’s words, consent, context, and public interpretation.

Rights verification is required before continuing.
Confirm operational accuracy before staging.
These are the same fields as the real Notice Banner workspace. This safe demo does not publish them.
Railroad stories are drawing interest. Staff can open the public page to check its sources, captions, readability, and next step; analytics never edits content or makes an editorial decision.
Open public storiesSame next step as the real Visitors workspace: inspect the public experience, then choose the appropriate authorized editor.
Privacy boundary: aggregate journey counts guide museum work without identifying, combining, or profiling individual visitors.
The real workspace shows what is live, retained restore points, and the non-destructive difference before a person confirms recovery.
Choose a safe simulated recovery action.
Human-guided AI
Try all three workflows. Responses are deterministic for the demo and no text leaves this browser.
Paste an existing flyer or announcement and create a structured draft for staff review.
Staff describe the job in ordinary language; guidance routes them to the right controlled task.
The visitor guide answers only from reviewed museum sources and shows its evidence.
Railroad Story Saturday · 2026-09-12
A family program exploring how railroad artifacts help preserve community stories.