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Predict Future: AI swarm intelligence on live debates

The only platform where community debates become living AI simulations. Every open debate spawns thousands of AI agents with unique personalities — and real users join as nodes inside the swarm.

Live swarm · debate #4821

Your influence weight

Builder Score 942 · idle

FOR · 50%Emergent consensusAGAINST · 50%
150 agents active
Why it's defensible

Community debate + AI simulation + reputation-weighted influence — in one experience

No other builder platform, DAO tool, or forecasting product combines all three. The prediction engine gets smarter the more our builder community engages — a moat competitors can't replicate without our network.

01

Every debate triggers a live swarm of AI agents, each with distinct viewpoints, memories, and personalities — producing emergent predictions, not simple polls.

02

Real users attach as nodes inside the agent graph; your opinion literally shifts the AI consensus in real time on the live swarm canvas.

03

Your Builder Score sets your influence weight — a score-900 expert moves consensus more than a score-100 newcomer.

04

When the timer ends, the platform auto-generates a structured prediction report: likely futures, key risks, ripple effects, and a confidence score.

05

Each completed simulation becomes a permanently archived, on-chain verifiable intelligence asset that protocols, VCs, and research firms pay to access.

The pipeline

From a single question to a verifiable prediction

STEP 01

A debate spawns a swarm

Every open topic triggers thousands of AI agents powered by MiroFish, each with distinct viewpoints, memories, and personalities.

STEP 02

Real users become nodes

You attach directly to the agent graph. Your arguments shift agent sentiment in real time — visible as moving edges on the live canvas.

STEP 03

Reputation weights influence

Your Builder Score sets your pull. A score-900 expert moves consensus far more than a score-100 newcomer.

STEP 04

The timer closes the round

When time runs out, emergent swarm behaviour is frozen and analysed — not a single AI opinion, but the whole crowd.

STEP 05

A structured report is generated

Likely futures, key risks, ripple effects, and a confidence score — all sourced from the swarm.

STEP 06

It becomes an on-chain asset

Each simulation is permanently archived as a timestamped, verifiable record protocols and VCs pay to access.

Auto-generated output

The prediction report

Simulation #4821 · archived on-chain

Confidence 74%

Question

Will an ETH L2 flip Ethereum mainnet in daily active users within 18 months?

Likely futures

Most likely74%

A single L2 crosses mainnet DAU as fees stay near zero

Plausible19%

Fragmented L2 landscape keeps mainnet ahead on DAU

Tail risk7%

A non-EVM chain absorbs the growth instead

Key risks & ripple effects

Sequencer centralization backlashFee-market regime changeBridge security incident

Turn the crowd into a prediction engine

Join a live swarm, lend your Builder Score to the debate, and help produce the intelligence assets the Web3 world relies on.