Mine a domain for source-backed concepts.
AI safety was
the first vein.
Not the last.
The graph is an invention mine.
Safety was the first vein we opened — it produced the Agent Trust Stack. But Leonardo is not a safety project with a graph bolted on. The graph is an invention mine, and safety is one vein of ore. Prediction is another. Message-propagation is another.
Each track is a domain mined for invention — run through the same loop, aimed at its own buyers. Some concepts cross veins; each vein keeps its own purpose.
Leonardo drafts a dossier from the ore.
Five adversarial seats wound it; most don't survive.
Build and test what survives into a real artifact.
One loop. Many veins. The mine is general; the veins are chosen deliberately.
Three veins open. More queued.
Agent Trust & Safety
Names, recognition, and revocation for autonomous agents.
Open the veinFuture Intelligence
Turning uncertain futures into decisions you can trade and act on.
Open the veinMemetic Propagation
How messages spread, mutate, gain authority — and resist correction.
Open the veinConcepts have cleared the loop into shipping capabilities.
The vein is open — concepts are being surfaced and sent through Council and Workshop.
Named, scoped, not yet opened. Markets, governance, and more are next.
Agent Trust & Safety
The first vein. An agent with keys is not a counterparty — a key can be stolen, a prompt can be spoofed, a model name is not an identity. Mining identity and naming produced the Agent Trust Stack: true names, earned personas, recognition, revocation, pledges, liveness, and observation receipts.
Safety is one buyer of this work — not the whole of it. The same primitives are identity infrastructure for any autonomous agent, and they ship as tools other builders embed in their own agents, metered in $LEO.
Future Intelligence.
How do humans and machines turn uncertain futures into useful present decisions?
Not a safety domain with a forecast attached — prediction is a vein of its own: systems for seeing, pricing, narrating, and acting on possible futures. The art of making a map of tomorrow that people can trade, act on, argue with, or rally around.
The lenses
Markets
Polymarket, odds, liquidity, mispriced belief, event trading
Strategy
Choosing moves before the outcome is visible
Governance
Leaders using forecasts and oracles to justify policy
Business
Demand prediction, launch timing, trend detection
Media
Forecasts as content — “X has 72% odds” travels well
Science
Calibrated hypotheses and prediction tournaments
Risk
Catastrophe bets, hedging, insurance against events
Prophecy / myth
Authority, judgment, warning, false prophecy, discernment
Fiction
Dune prescience, Asimov psychohistory, Brunner's Delphi pools
What we mine
Prediction markets
Polymarket-style pools, Delphi pools, event wagers — smart money as signal.
Psychohistory
Asimov-style large-population forecasting across demographics, politics, economies.
Prescience
Branching futures, path-dependence, the observer effect — Dune as design pattern, not magic.
Oracle authority
Who gets believed, and how a forecast hardens into a command.
Reflexive prediction
Forecasts that change the thing forecast — odds that move behaviour.
Signal manipulation
Fake odds, insider moves, narrative shaping — alpha and adversarial markets.
Forecast track records
Brier scores, calibration curves — reputation for who actually sees.
Prediction as product
Dashboards, bots, APIs, public scoreboards — a terminal for reality-odds.
Where it could go
Cards that clear the loop could become products — a Bloomberg Terminal for reality-odds, and the tools around it.
Reality Odds Terminal
One interface over Polymarket, news, model forecasts, and historical analogues from the graph.
Narrative Arbitrage Engine
Finds the gap between the public story and the market's odds — “inevitable” vs 38%.
Forecast Provenance Ledger
Who predicted what, when, at what confidence, and how it resolved.
Scenario Branching Tool
A possible-futures map: if A happens, the likely B / C / D branches.
Crowd Oracle Builder
A lightweight prediction market or tournament for any community or project.
Event-Risk Radar
Watches markets for sudden odds shifts, liquidity changes, insider-looking moves.
Prophecy-to-Policy Study
How leaders use forecasts to justify action — for governance and comms, not only safety.
Memetic Propagation.
How an idea enters minds, reproduces through social contact, mutates, gains authority, and resists correction. Plague — but made of symbols.
Not this
“How do we make propaganda go viral?”
This
What makes messages spread, mutate, dominate, or turn dangerous — and how can true, beneficial messages propagate without becoming manipulative?
The lenses
Product / growth
How ideas, apps, tokens, protocols, and communities spread
Culture
How symbols become movements
Media
How formats, slogans, rituals, and spectacles travel
Markets
How narratives move capital and attention
Politics
How belief coordinates groups
Security
One slice — misinformation, memetic weapons, containment
Biology
Mutation, host susceptibility, immunity, super-spreaders
Religion / myth
Conversion, testimony, prophecy, martyrdom, ritual repetition
Card clusters
Meme-as-pathogen
A message spreads like disease; host susceptibility decides who catches it.
Slogan-as-compression
A whole doctrine compressed into one repeatable phrase or image.
Authority-carrier
It spreads because its bearer has status, office, celebrity, or martyrdom.
Narrative-hook contagion
A story out-travels a fact because it gives the hearer a role to play.
Forbidden-text amplification
Suppression raises desire; censorship becomes advertisement.
Ritual repetition loop
Chant, liturgy, brand, meme format — repetition lays the memory rails.
Memetic mutation
A message reshapes to fit each host; virality trades fidelity for reach.
Inoculation
Pre-exposure to weak manipulation builds cognitive resistance.
Provenance seal
Trace where a message came from, who altered it, and what incentives surround it.
Viral safety governor
Detect when propagation speed outruns truth-checking — and brake.
A harmless harness, later
A model that can predict virality can also manufacture contagion. So the useful artifact is not “make it viral” — it is virality with provenance, consent, truth constraints, and spread brakes.
- 01
Take a message
- 02
Score its likely spread vectors
- 03
Flag manipulation risk
- 04
Suggest truthful, non-coercive improvements
- 05
Attach provenance
- 06
Test against historical viral patterns
The mine is deep. We open veins deliberately.
Safety, future intelligence, and message-propagation are the first three. Markets, governance, coordination, culture, and more sit named and scoped, waiting their turn. Each opens only when there is a real buyer and a loop to run it through — never as a slogan.