Simulation
Research agent simulator
Ask a research question, then turn the dials a deep-research agent actually has — breadth, source limits, verification, reranking — and watch a deterministic model of what each one costs you.
Deterministic simulations · no account
Change the inputs and inspect how ranking, traversal, autocomplete and research-agent workflows respond. These are transparent models for learning—not observations of external systems.
Interactive models of the algorithms behind search, ranking and research agents.
Simulation
Ask a research question, then turn the dials a deep-research agent actually has — breadth, source limits, verification, reranking — and watch a deterministic model of what each one costs you.
Simulation
Type out a set of pages and the links between them, choose a damping factor, and watch authority flow through the graph until the ranking converges.
Simulation
Define entities and the relationships between them, then run breadth-first and depth-first traversal over the same graph and watch the two produce completely different journeys.
Simulation
Feed it a vocabulary, type a prefix, and watch the tree narrow — one character, one branch at a time — into the suggestions a search box would show you.