There really are so many possibilities building on top of Intuition.
I’ve been exploring one direction that might be interesting to discuss here.
The core idea is to build a structured event layer — something that models trajectories over time in a strict and composable way.
Very simple primitives:
-Entities (people, orgs, places, works, concepts)
-Events (atomic, dated, localizable, participants)
-Sources (QIDs, revision IDs, URLs, timestamps)
Claims always tied to at least one source
-Events are append-only.
-Time is typed (exact, range, approx).
-Places are referenced entities, not strings.
Everything keeps provenance.
Right now this is very early and very narrow in scope.
At the moment I’m just building an explorer connected to Wikidata — mostly testing with historical personalities — to see how well we can extract structured events (birth, death, roles, participations, movements, etc.), normalize time, attach coordinates, and keep everything source-traceable.
So nothing production-ready, nothing deeply integrated with Intuition yet. Just testing whether this kind of structured, append-only event graph actually behaves well in practice.
The goal isn’t to model opinion.
It’s to model contextual reality over time.
For example, when we see claims like:
“Bob co-founded X”
“Bob has deep experience in governance”
Underneath those there’s usually a structured trajectory:
-when did things happen
-what roles were held
-what events took place
-what sources document that
Same for more subjective atoms like:
-“Bill loves crypto”
-“Bob supports Trump”
Those look simple on the graph, but they usually emerge from exposure over time, participation, intellectual influences, communities, cultural background, etc.
Not saying all of that should be public — it could be opt-in, partial, attestable.
But structurally modeling trajectories gives agents richer material to reason over.
I’ve been calling this experiment Talaria (Hermes’ winged sandals — more about movement across time and context than verdicts).
Now where I think this could integrate nicely with Intuition:
Intuition is powerful at aggregating conviction around claims.
A structured, time-based event layer could act as optional substrate — something agents and UIs could draw from when evaluating contextual claims, without changing the protocol itself.
It doesn’t replace staking.
It doesn’t impose standards.
It just makes background legible.
And beyond that, I think there’s something interesting in terms of audience.
Most of web3 is dev-native and protocol-native.
But history, culture, intellectual trajectories — those resonate with a much broader public.
If people can explore timelines of personalities, historical paths, contextual events, and then see how opinions form around them, that could bring in users outside the core web3/dev sphere.
There’s also an idea I’ve been exploring called an “Agora” layer.
A space where people can express structured opinions and beliefs on historical or cultural subjects — grounded in events and sources, with real freedom of speech, not biased by medias, politics etc
For example:
Opinion clusters around a historical event
Divergent interpretations of a political period
Cultural narratives around a movement
The idea wouldn’t be to decide truth.
It would be to reflect how different trajectories produce different convictions.
Intuition could aggregate conviction.
Talaria could structure the contextual substrate.
And the Agora layer could surface how people position themselves in relation to history and culture.
Still very exploratory — but I’d love to hear whether this feels directionally aligned or totally off track.