Learn
Session memory, confirms, and chosen sources. Not silent profiling. Visitors stay in control of what becomes part of the record.
A landing page is usually a one-way brochure. A landing pad is built for dialogue. Over time it can learn from a visitor's choices, suggest how their perspective might be read, and invite them to refine that capture until it reflects what they actually mean.
I design and deploy Hermes landing pads for communities, institutions, and builders who need a trustworthy front door into the Meta-Layer estate: Gov Hub governance, Desirable Properties, Overweb Studio substrate work, or BRC333 immortalization paths.
Product-honest learning
Session memory, confirms, and chosen sources. Not silent profiling. Visitors stay in control of what becomes part of the record.
Working hypotheses until the visitor confirms sources, mappings, or text. Hermes proposes; people approve or correct.
Correct us, add sources, patch text, or update consent. The pad improves as the community teaches it what matters.
Estate-aware routing sends builders to Overweb Studio, stewards to Gov Hub, and immortalizers to BRC333 Studio without one generic chatbot answer.
Estate context
Hermes already spans Desirable Properties, the Metaweb book, and partial Gov Hub context. Landing pads extend that into a routed entry surface for the full Meta-Layer estate:
/pad/{slug}: public corpus briefing, Desirable Properties invite, community chatThis is the same Hermes architecture discussed for extending estate coverage: one chat surface, separate retrieval domains, clear citations, and human governance in the loop. See also Community AI (Hermes) for the full agent product.
Engagement
Define what the pad knows from public sources, what requires confirmation, and how visitors enter your governance stack.
Memory graph, contributions, Discuss hooks, and teach/share/watch/control flows scoped to your community.
Connect the pad to Gov Hub workgroups, Overweb Studio sandbox paths, or BRC333 publishing when those are the right next step.
Pilot with a cohort, measure what visitors actually use, and refine language and practices from live dialogue.
Next steps