Multi-Agent · AI System
A structured AI pipeline where specialized agents plan, execute, and validate tasks — delivering more reliable, higher-quality outputs than single-agent approaches.
Built with
The Problem
Relying on one AI agent for complex tasks leads to hallucinations, missed steps, and outputs that need significant human editing to be usable.
A single AI agent producing an output has no check on its own reasoning. Errors go undetected and are delivered as final outputs.
Multi-step processes with large information sets exceed single agent context windows — leading to forgotten context and incomplete outputs.
A generalist agent handling everything produces generalist-quality outputs. Specialized agents for each task stage produce significantly better results.
What You Get
A dedicated planning agent breaks complex tasks into structured subtasks — defining scope, sequence, and dependencies before execution begins.
Specialized agents handle each subtask independently — each optimized for their specific task type with the right prompting and tools.
A validation agent reviews each executor's output against the original brief — flagging errors, inconsistencies, and gaps before they reach the final output.
n8n coordinates the full agent pipeline — managing agent handoffs, retries on failed validation, and parallel execution where applicable.
Shared context and memory nodes ensure all agents have access to relevant information without exceeding individual context limits.
Optionally pause for human review at key stages — maintaining oversight on critical decisions while automating the surrounding work.
Process
Task Input
The task brief is submitted via form or API trigger — the orchestrator receives it and begins the multi-agent planning process.
Planner Agent
The planner agent analyzes the brief and produces a structured execution plan — subtasks, sequence, and agent assignments.
Executor Agents
Each subtask is processed by a specialized agent — writing, research, analysis, or transformation — with full context from the planning stage.
Critic Agent
The critic agent reviews each output against the brief and task requirements — flagging issues and triggering re-execution if quality thresholds aren't met.
Output Delivery
Once all subtasks pass validation, the final output is assembled and delivered — to Slack, email, Airtable, or any configured destination.
Pricing