Binary Prediction & Coordination Markets with AI-Resolved Oracles

The commercial problem

Prediction markets are a category that has been about to work for fifteen years. The blockers have always been the same three.

Resolution. Who decides whether the event happened? Centralized resolution recreates platform risk; community resolution invites manipulation; oracle networks introduce a third-party dependency and a delay measured in days.

Settlement latency. A market that takes three days to pay out winners destroys the entire user experience. Most blockchain prediction markets fail here.

Fee distribution. Real markets need to compensate market creators, liquidity providers, and the protocol itself. Doing this on-chain — atomically, transparently, and without a custodian sitting on the float — is non-trivial.

The interesting commercial application is not consumer betting, which is regulatory quicksand. It is internal coordination markets — instruments corporates and institutions use to aggregate dispersed information about uncertain events. Will the merger close by Q3? Will the regulatory approval land before the launch window? Will the supplier deliver on the renegotiated date? Liquid markets on these questions surface information that surveys and forecasts miss, and large organizations are starting to pay attention.

The system shipped

A binary-outcome market protocol on Solana with three innovations stacked.

Pre-set AI prompts as oracles

Each market is created with a structured prompt that defines exactly what evidence resolves it and how. At resolution time, the prompt is executed against current information; the output is binary, deterministic given the inputs, and on-chain auditable. This collapses oracle latency from days to seconds and removes the human-judgment surface that makes community resolution gameable.

Proportional payouts with no house edge on the outcome

Winners split the losing side's stake proportionally to their position size. The protocol takes a transparent, fixed fee on resolution; market creators take a configurable cut. There is no implicit spread, no market-maker rake, no slippage — the math is published and on-chain.

Permissionless market creation

Any participant can create a market by paying a creation fee, defining the binary question, and supplying the resolution prompt. The protocol does not gate topics. Categories shipped at launch include politics, finance, science, sports, and society — but a corporate could deploy the same protocol behind a permissioned gate to run internal markets only.

Mechanics at a glance

Architecture choices that mattered

Binary by design. Every market has exactly two outcomes. This sounds restrictive and is in fact the single most important design choice — it eliminates the ambiguity, multi-outcome resolution edge cases, and UI complexity that make richer market designs unusable in practice. Any question can be reformulated as a binary one; insisting on this discipline at the protocol level forces clarity at market-creation time.

Pre-commitment of the resolver. The AI prompt is fixed at market creation, not chosen at resolution. This is what makes the oracle tamper-resistant: a creator cannot move the goalposts, because the goalposts are part of the market account itself.

Game-credit layer for jurisdictional flexibility. The public deployment uses a non-monetary credit (no cash value, not a security, not a deposit) to keep the protocol clear of money-transmission and gambling regulations. The same protocol can be deployed with stablecoin-denominated stakes inside a permissioned environment — for example, an institutional internal market where participants are vetted employees and the legal frame is pre-cleared.

Open documentation. Whitepaper, fee schedule, market rules, resolution policy, and disclaimer are all published. The legal risk model is part of the design, not an afterthought.

What this proves about the firm

We can build oracle systems that resolve in seconds, not days. AI-as-oracle is a recent technique; using it in a way that is provably tamper-resistant requires committing the prompt at market creation, not at resolution. We have shipped that pattern.

We understand the regulatory geography. A prediction market for cash is gambling in most jurisdictions. A prediction market for non-monetary credits is software. The legal architecture is as much a design artifact as the smart contract; both were built deliberately.

We build systems that have institutional analogs. The same protocol that resolves consumer questions on the public deployment can be deployed inside a corporate environment to resolve will this deal close — the most valuable use case is not the consumer one.

What we extract for client work

For corporates, asset managers, family offices, and policy institutions interested in coordination markets as an information-aggregation tool, this reference establishes the production pattern. A typical client engagement extends this with:

• ·Permissioned market creation restricted to vetted participants
• ·Stablecoin-denominated stakes with appropriate legal wrapping
• ·Custom resolution sources beyond AI prompts — trusted data feeds, named human resolvers, multi-source consensus
• ·Reporting and audit interfaces for risk, compliance, and treasury teams
• ·Integration with internal identity systems (SSO, AD) for participant management

Engagement type: Transformation Program (Package C) is the typical fit — coordination markets need governance and rollout work alongside the technical deployment.