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Multi-agentProduct Development & LaunchAdvancedFree

MVP Design & Prototype System.

4 agents, 4 deliverables.

Run a multi-agent workflow to produce an execution-ready mvp design & prototype system deliverable.

WORKFLOW META
Agents4
Total tokens (avg)~500
Run time12 min
AI toolChatGPT · Claude · Gemini
Variables4
DifficultyAdvanced
CategoryProduct Development & Launch
SEQUENCE MAP · CLICK TO JUMP
· 01 ·
UX Flow Designer
· 02 ·
UI Component Specifier
· 03 ·
Prototype Testing Planner
· 04 ·
Design Iteration Planner
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.

{{product_type}}
Product type
Product type
Mega Prompt Library with 3000+ prompts
{{core_user_flow_to_prototype}}
Core user flow to prototype
Core user flow to prototype
onboarding, checkout, booking
{{key_design_constraint}}
Key design constraint
Key design constraint
MVP Design & Prototype System example context
{{user_s_biggest_pain_with_existing_solutions}}
User s biggest pain with existing solutions
User s biggest pain with existing solutions
beginner AI users
THE AGENTS

The 4-step sequence.

01
AGENT · UX FLOW

UX Flow Designer

GOAL OF THIS STEP

Design the optimal user flow for the core experience. Map: every screen/step in the flow (numbered), the user's goal at each step, the single action to take at each step, and the potential friction point at each step. Identify the 'drop-off cliff' — the step most likely to lose users — and redesign it to eliminate friction. Output as a numbered flow with annotations.

EXPECTED OUTPUT

Numbered UX flow: step + user goal + action + friction point + redesigned drop-off cliff step

agent-01-ux-flow-designer.md
### Input
Product type, core flow, design constraint, pain point

### Task
Design the optimal user flow for the core experience. Map: every screen/step in the flow (numbered), the user's goal at each step, the single action to take at each step, and the potential friction point at each step. Identify the 'drop-off cliff' — the step most likely to lose users — and redesign it to eliminate friction. Output as a numbered flow with annotations.

### Output
Numbered UX flow: step + user goal + action + friction point + redesigned drop-off cliff step
02
AGENT · UI COMPONENT

UI Component Specifier

03
AGENT · PROTOTYPE TESTING

Prototype Testing Planner

04
AGENT · DESIGN ITERATION

Design Iteration Planner

HOW TO RUN

Three steps. 12 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 4 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.

UX Flow Designer

Numbered UX flow: step + user goal + action + friction point + redesigned drop-off cliff step

UI Component Specifier

UI component spec per screen: component type + content + interaction states + accessibility + microcopy

Prototype Testing Planner

3 test tasks + 5 observation questions + think-aloud protocol + 5-question survey + issue scoring rubric

Design Iteration Planner

Finding categories + fix decision rule + 48-hour sprint structure + design debt log + 10-item launch readiness checklist

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The Multi-Agent Operator Pack.

100 production-ready workflows like this one. Agent prompts, variable cheat-sheets, and the operator's guide.

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