PREDICTION MARKETSWITH AUTOMATEDGOVERNANCE
FUTURAI uses AI agents, public rules, and smart contracts to create, monitor, and resolve prediction markets with verifiable transparency.
Understand the flow
before opening
a position
The experience is designed to feel simple for new users and still remain verifiable for people who want to inspect the details.
Each market shows the question, deadline, and resolution rules before any interaction.
You choose a position based on your reading of the event and the available probabilities.
Probabilities move as new positions enter and the market mechanism recalculates prices.
The outcome follows predefined criteria, disclosed sources, and on-chain settlement when applicable.
Automation to
apply rules
consistently
On FUTURAI, AI does not replace public rules: it helps apply defined criteria, monitor events, and prepare resolutions with operational consistency.
Smart contracts execute settlement. Users can verify sources, rules, and process status.
The focus is verifiable transparency, not absolute authority.
Rules Engine · Monitoring · Resolution Workflow
✓ Public rules loaded
✓ Resolution criteria registered
✓ Source checklist available
✓ Smart contract execution enabled
$ market_review --mode=verification
Markets are monitored against public criteria.
Resolution follows documented sources.
Users can inspect status, rules and references.
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AI-assisted governance,
on-chain settlement
and transparent criteria
The architecture combines automated monitoring, rules-based validation, and smart contract execution while keeping the criteria for each step visible.
News, indicators, oracles, and documented references
Collects signals, organizes context, and identifies relevant events
Apply public rules, risk filters, and publication criteria
Verifiable execution, custody, and settlement
Custody and settlement
Probability and YES/NO positions
Liquidity support
Participant settlement
Checks sources, applies criteria, and executes resolution
Specialized agents.
Public rules
as reference.
Each agent handles a specific stage in the flow and operates within boundaries defined by rules, criteria, and risk checks.
Checks novelty, timing, and question clarity
Compliance, clarity, sources, and resolvability
LMSR model and available liquidity
Oracles, documented references, and event consistency
Exposure, liquidity, and safety pauses
Product status, geographic criteria, and internal policies
Automation with
verifiable criteria
and less ambiguity
The governance model is designed to prioritize operational predictability, clear documentation, and consistent execution.
Each market should state the question, the deadline, and the sources used for resolution.
AI helps monitor markets, apply filters, and prepare resolution steps based on public rules.
When applicable, settlement runs through verifiable contracts, reducing reliance on manual processes.
The governance page makes clear which references and policies guide the system, instead of suggesting opaque authority.
Operating limits, pauses, and filters are treated as a core part of the experience, not a hidden detail.
When audits, policies, or formal pages are not yet ready, the status is shown plainly without unverified claims.
What you can
verify today
The blocks below summarize what is already described on the page and what is still being prepared.
Question, deadline, and public criteria guide each market resolution.
Available on page
Markets should disclose the references and sources used during resolution.
Available per market
The on-chain layer executes custody, settlement, and market logic when applicable.
Documentation in progress
We do not claim external audits without matching public material.
Coming soon
Exposure controls, pauses, and filters are part of the operating governance model.
Documentation in progress
Product availability and legal criteria should be presented clearly.
Current status: beta/demo
Technical layers
in view
| MODULE | TECHNOLOGY | FUNCTION | HUMAN ROLE | STATUS |
|---|---|---|---|---|
| Event monitoring | NLP · semantic clustering · source ingestion | Identify events and prepare market proposals | PRODUCT OVERSIGHT | BETA |
| Governance agents | Rules engine · applied AI · queues | Apply public publication and resolution criteria | PUBLIC RULES | BETA |
| PredictionMarket.sol | Smart contracts · LMSR | Handle YES/NO positions and update probabilities | NONE | BETA |
| Resolution layer | Oracles · source validation · on-chain execution | Close markets using verifiable criteria | DOCUMENT REVIEW | BETA |
From monitoring
to resolution
The operating flow connects monitoring, market creation, probability updates, and resolution under public criteria.
Public sources and monitored signals
Question, deadline, and rules are visible
YES or NO based on their view of the event
The market mechanism recalculates prices
Criteria applied and on-chain settlement when available
Explore markets,
understand the governance
and view the rules
FUTURAI aims to combine prediction markets, automation, and verifiable rules in a clearer experience for new participants.