The platform

More than a chatbot. A research instrument for your institution.

Visitors get a conversation. Your institution gets a dashboard: usage analytics, audience demographics, topic-by-topic intelligence, and the controls to shape what the figures know, what they refuse, and how visitors reach them. The platform that tells you what to program next.

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Control

Every aspect of how a figure represents your archive is set by your team, in an admin dashboard built for curators and administrators, not engineers. Character voice and tone. Source set. Topic scope. Refusal patterns. Usage limits. Curators edit; admins approve; the audit log records.

  • Character authoring. Twelve editable fields per character: voice, historical style, modern style, personality modes, knowledge boundaries, casual and academic discourse, and three distinct layers of guardrails. Curators edit; admins approve; the audit log records.
  • Source corpus management. Add documents on demand across formats and media, from documents and books to newspapers, images, and audio. The figure can only read what you have released to it.
  • Usage limits. Text and voice quotas configurable per audience type: anonymous visitors, authenticated members, role-based learners. Per-organization, per-deployment, per-character.
  • Role-based access. Super admin, organization owner, organization admin, curators with scoped permissions. Multi-org users switch contexts explicitly; no path through the system bypasses the scope.
  • Approval queue. Character edits go behind a review queue before publish. Nothing reaches the visitor without an institutional sign-off.
  • Audit log. Every administrative action, character edit, source ingestion, role change, content publish, written to an append-only audit table scoped per organization. Exportable on request.

Insight

Every conversation produces signal. Aggregated, anonymized, and surfaced in your dashboard: how many visitors engaged, how long, on what topics, at what time of day, on which channels, from which audience cohorts. The dashboard is built for the people who run institutions, not the people who code them.

  • Engagement analytics. Sessions, conversation depth, dwell time, return-visitor rate. Aggregated and anonymized, never tied to PII unless your institution explicitly intends to.
  • Audience segmentation. Anonymous visitor, authenticated learner, role-based access, language preferences. Demographic enrichment (age cohorts and other audience attributes) where your institution chooses to collect it.
  • Topic-level intelligence. What visitors actually ask about. What they ask repeatedly. What they don’t ask about that you would expect them to. Trends month over month, season over season.
  • Per-deployment analytics. Compare engagement and topic mix across the surfaces you ship: your own site, the main historacle.ai surface, partner embeds, and however else your figure reaches visitors.
  • Pattern analysis. Peak engagement hours. Weekday versus weekend. Season-over-season. Useful for staffing, programming calendars, and digital-event timing.
  • Refusal logging. When the figure says "I don’t have that in the record" or "I am not sure," we log it with the underlying question. The result is a ranked list of the gaps your source set actually has.

Strategy

This is the value compound nobody talks about. Most institutional AI deployments treat visitor conversations as throwaway interactions. Historacle treats them as a continuous, anonymized research instrument: every question your visitors ask is a signal about what your audience cares about, what they do not understand, and what they wish your collection covered.

The platform does not replace your audience research. It gives you the only continuous version of it you will ever have.

For museums

Trace which figures, periods, or themes draw your visitors’ deepest engagement, and design your next exhibition around what your audience is already curious about. Identify questions visitors ask that your archive should answer but does not, and use the data to prioritize collection development, label-writing, and education programming.

Read the vertical

For religious institutions

See which doctrines, texts, and figures your learners return to. Identify the questions your formation programs are not yet addressing. Use cohort-level topic patterns to shape next year’s catechetical sequence, retreat themes, sermon series, and adult education curriculum.

Read the vertical

For archives and heritage collections

Watch which collections researchers ask about, which they expect but cannot find, and which dormant holdings the public is more curious about than your team realized. Prioritize description, digitization, and finding-aid work where actual demand lives.

Read the vertical

For schools and educational institutions

See which thinkers and texts students engage most, and where the reading list leaves questions unanswered. Use topic patterns to shape next term’s syllabus, seminar themes, and study materials around what learners are actually asking.

Read the vertical

Send a small slice of your collection and we will show you the dashboard, the analytics, and the controls you would actually use. Most first pilots move quickly once your source material and curatorial direction are in hand.

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