Ecommerce Team Runs a Multi-Agent Catalog Pipeline

An end-to-end system that takes a topic and outputs publish-ready content.

A multi-agent system splits a job across several specialised AI agents that coordinate through a shared plan, message bus or orchestrator.

Agent architecture is the structural blueprint of an AI agent: the model, the planning loop, the tools, the memory layer and the guardrails that decide how it acts.

Agent handoff is the controlled transfer of a task — with its context — from one agent to another agent or to a human.

Researcher, writer and editor agents under a supervisor, producing publishable drafts.

A repeatable pipeline that turns one input into publish-ready content across every channel.

Turn one long piece into a week of social content automatically.

One podcast episode becomes an SEO article, 5 short-form clips and a newsletter — all AI-assisted.

Tooling for coordinating several specialised agents with reliable handoffs.

Ship 5-10 short-form videos per week with one operator.

Automate the boring 80% of running a Shopify store.

The minimum tooling to design, run and observe a production agent.

Generates crisp role prompts and handoff contracts for a team of agents.

Atomize one long-form asset into 8 platform-native pieces.

Turns a fuzzy agent idea into a reviewable five-layer architecture spec.

Specifies an AI crypto agent's tools, permissions, guardrails and evaluation before a single line is written.

One well-equipped agent beats a crowd for most jobs; multi-agent wins on genuinely separable, parallel work.

A trading bot executes fixed rules deterministically; an AI agent interprets context and decides which steps to take — powerful for research, risky for execution.