Multi-agentTech & Problem SolvingAdvancedFree

Complex Problem Solving System.

5 agents, 5 deliverables.

Run a multi-agent workflow to produce an execution-ready complex problem solving system deliverable.

WORKFLOW META

Agents5

Total tokens (avg)~1,000

Run time15 min

AI toolChatGPT · Claude · Gemini

Variables5

DifficultyAdvanced

CategoryTech & Problem Solving

SEQUENCE MAP · CLICK TO JUMP

· 01 ·

Problem Deconstructor Full problem

· 02 ·

Solution Generator Problem map

· 03 ·

Generate 5 possible solutions. For

· 04 ·

Solution Stress Tester

· 05 ·

Implementation Planner Recommended

USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

Problem description

Complex Problem Solving System example context

What you have already tried

Complex Problem Solving System example context

Constraints on the solution

Complex Problem Solving System example context

Who is affected by this problem

Complex Problem Solving System example context

Definition of a good solution

Complex Problem Solving System example context

THE AGENTS

The 5-step sequence.

AGENT · PROBLEM DECONSTRUCTOR

Problem Deconstructor Full problem

GOAL OF THIS STEP

description, constraints, stakeholders Deconstruct the problem. Separate symptoms from causes. Identify what is truly the core problem vs. what is a downstream effect. Map all stakeholders and their interests. Problem map: Core problem + 3 root causes + symptom vs. cause separation + stakeholder interest map

EXPECTED OUTPUT

Return the deliverable specified for this agent in the source system.

agent-01-problem-deconstructor-full-pro.md

### Input
Use the main workflow variables above.

### Task
description, constraints, stakeholders Deconstruct the problem. Separate symptoms from causes. Identify what is truly the core problem vs. what is a downstream effect. Map all stakeholders and their interests. Problem map: Core problem + 3 root causes + symptom vs. cause separation + stakeholder interest map

### Output
Return the deliverable specified for this agent in the source system.

AGENT · SOLUTION GENERATOR

Solution Generator Problem map

AGENT · GENERATE 5

Generate 5 possible solutions. For

AGENT · SOLUTION STRESS

Solution Stress Tester

AGENT · IMPLEMENTATION PLANNER

Implementation Planner Recommended

HOW TO RUN

Three steps. 15 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 5 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Problem Deconstructor Full problem

Return the deliverable specified for this agent in the source system.

Solution Generator Problem map

Return the deliverable specified for this agent in the source system.

Generate 5 possible solutions. For

Return the deliverable specified for this agent in the source system.

Solution Stress Tester

Return the deliverable specified for this agent in the source system.

Implementation Planner Recommended

Return the deliverable specified for this agent in the source system.

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The Multi-Agent Operator Pack.

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Complex Problem Solving System.

Set the workflow's inputs once.

The 5-step sequence.

Problem Deconstructor Full problem

Solution Generator Problem map

Generate 5 possible solutions. For

Solution Stress Tester

Implementation Planner Recommended

Three steps. 15 min.

The final output, end-to-end.

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