# Patterns — RossLabs toolkit

> Working patterns for building and coordinating AI systems.

## Patterns entries

- [Design of Experiments](https://rosslabs.ai/toolkit/patterns/design-of-experiments): Explains factors, two-level matrix designs, replication, uncertainty, and confirmation runs for testing several settings together.
- [Knowledge Graph Retrieval](https://rosslabs.ai/toolkit/patterns/knowledge-graphs): Separates index-time graph construction from query-time retrieval and shows how four RossLabs projects implement each stage.
- [Multi-Agent Coordination](https://rosslabs.ai/toolkit/patterns/multi-agent-coordination): Walks the nine commands two agents run to share one checkout without overwriting each other, and shows where the automatic check stops reaching.
- [Rally Point Lab](https://rosslabs.ai/toolkit/patterns/multi-agent-coordination/play): Guided Story: nine short exchanges show how presence, claims, refusals, handoffs, receipts, liveness, and durable history change what happens when two agents share one repo. Scenario Runner: pick a question, set 2 to 20 agents, files, layout, handoffs, injection, and rallyd, and watch one deterministic engine append the ledger and project the room.
- [Verification-Gated Agent Development](https://rosslabs.ai/toolkit/patterns/verification-gated-agents): Explains a synthesized five-step pattern that separates execution, deterministic checks, independent review, and lessons for the next run.

HTML version: https://rosslabs.ai/toolkit/patterns/