LLM Bus

Use LLM Bus to coordinate three AI agents: a research agent to gather sources, a writing agent to draft content, and a review agent to check facts and language. Design attributable handoff steps, a shared event ledger format, and work-claiming rules to prevent duplicate work on the same subtask.

A multi-agent coordination plan with handoff logic, event ledger structure, and anti-duplication claim rules.

Multiple AI agents may edit the same code repository at once. Based on LLM Bus, design an advisory file lease mechanism that defines how agents should read, request edit access, renew leases, release them, and handle conflicts, with example event records.

A file lease workflow that helps agents edit safely and reduce overwrite conflicts.

Design an auditable multi-agent workflow with LLM Bus where every assignment, handoff, completion, and exception is written to a shared event ledger, so we can trace who handled which task and when.

An auditable event-ledger design supporting task tracing, accountability, and exception review.