Deterministic simulations · no account

Interactive search and research labs

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.

Search & algorithm labs

Interactive models of the algorithms behind search, ranking and research agents.

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.

/agent

Simulation

PageRank simulator

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.

/pagerank

Simulation

Graph explorer

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.

/graph

Simulation

Trie visualizer

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.

/trie

Open every lab in the shared console →