SWARM INTELLIGENCE

Prediction

Turn seed evidence into a knowledge graph, simulate a swarm of actors, and modulate the scenario with interventions.

Graph + swarm engine

New prediction

Examples

Prediction question Seed material Up to 24,000 characters. Facts, actors, dates and constraints improve the graph. Modulation variables / interventions Optional. These changes are applied to every swarm round.

Agent roles

Leave empty to derive actors from the graph. Define up to 8 roles with model, temperature, tools and private memory.

Rounds Agents

History

No predictions yet.

◈

Rehearse the future

Describe the question, add seed evidence and optional interventions. The engine builds a graph, instantiates actors, runs the swarm, and writes a forecast.