Multi-agentCreative ProjectsAdvancedFree

Content Series Development System.

4 agents, 4 deliverables.

Run a multi-agent workflow to produce an execution-ready content series development system deliverable.

WORKFLOW META
Agents4
Total tokens (avg)~500
Run time12 min
AI toolChatGPT Β· Claude Β· Gemini
Variables5
DifficultyAdvanced
CategoryCreative Projects
SEQUENCE MAP Β· CLICK TO JUMP
Β· 01 Β·
Series Concept Architect
Β· 02 Β·
Episode/Module Planner Series concept from
Β· 03 Β·
Plan every episode or module. For
Β· 04 Β·
3
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.

{{content_type}}
Content type
Content type
Content Series Development System example context
{{topic}}
Topic
Topic
AI prompting for beginners
{{audience}}
Audience
Audience
beginners and working professionals
{{number_of_episodes_parts_modules_planned}}
Number of episodes parts modules planned
Number of episodes parts modules planned
Content Series Development System example context
{{distribution_platform}}
Distribution platform
Distribution platform
Medium, LinkedIn, Instagram, Pinterest
THE AGENTS

The 4-step sequence.

01
AGENT Β· SERIES CONCEPT

Series Concept Architect

GOAL OF THIS STEP

Content type, topic, audience, planned length Define the series concept. Establish the overarching narrative or learning arc, the unique angle vs. existing content on this topic, and the promise each episode/part makes to the audience. Series bible: Overarching theme + unique angle + audience promise + episode/part framework

EXPECTED OUTPUT

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

agent-01-series-concept-architect.md
### Input
Use the main workflow variables above.

### Task
Content type, topic, audience, planned length Define the series concept. Establish the overarching narrative or learning arc, the unique angle vs. existing content on this topic, and the promise each episode/part makes to the audience. Series bible: Overarching theme + unique angle + audience promise + episode/part framework

### Output
Return the deliverable specified for this agent in the source system.
02
AGENT Β· EPISODE/MODULE PLANNER

Episode/Module Planner Series concept from

03
AGENT Β· PLAN EVERY

Plan every episode or module. For

04
AGENT Β· 3

3

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 β€” 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.

Series Concept Architect

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

Episode/Module Planner Series concept from

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

Plan every episode or module. For

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

Agent 3

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

β˜… MULTI-AGENT PACK

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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