Coordinating AI Agents with BOLT: A Practical Guide

Hook

Managing multiple autonomous AI agents can quickly become chaotic. Operators often struggle with keeping agents aligned, avoiding duplicate work, and ensuring quality control.

What I built

I created a lightweight coordination framework called BOLT that structures agents into three roles: Demand Researcher, Producer, and Quality Control. Each agent publishes its output to a shared queue, and the QC agent validates results before they are released. Below is a minimal example in TypeScript used in my Zo Space projects:

// BOLT pipeline skeleton
async function runBolt(){
  const research = await demandResearcher();
  const product = await producer(research);
  const approved = await qualityControl(product);
  if(approved){
    console.log('✅ Product approved and ready for market');
  }
}

runBolt();

Why it matters

Scalability: Agents can be added or removed without breaking the pipeline.
Reliability: QC ensures only high‑quality outputs (95/100+ score) reach the market.
Transparency: Each step logs its actions, making debugging easier.