A Multi-Agent Kanban Workflow for Long Tasks and Lower Costs
This passes a long task through several specialized in sequence. The roles include distributing work, gathering information, summarizing, reviewing, and preparing the final result, with optional agents for jobs such as coding and testing. Each stage saves an intermediate report on the computer so later agents can retain the context from earlier work.
Stronger models can handle difficult decisions, while cheaper models handle simpler roles to control costs. The aim is to reduce lost context and drifting focus during complex tasks with many steps.
Key points
- Split the task into , , summary, review, and final preparation stages.
- Save intermediate reports on the computer to preserve context between stages.
- Add specialized agents for work such as coding or testing when needed.
- Use cheaper models for simple roles and stronger models for demanding roles.
- Compare total cost and quality with a single-model before adopting it.