Multi-agentHealth & WellnessAdvancedFree

Nutrition and Training Integration System.

3 agents, 3 deliverables.

Run a multi-agent workflow to produce an execution-ready nutrition and training integration system deliverable.

WORKFLOW META
Agents3
Total tokens (avg)~500
Run time9 min
AI toolChatGPT Β· Claude Β· Gemini
Variables4
DifficultyAdvanced
CategoryHealth & Wellness
SEQUENCE MAP Β· CLICK TO JUMP
Β· 01 Β·
Nutrition Strategist Training
Β· 02 Β·
Meal Timing and Structure Designer
Β· 03 Β·
7-Day Meal Plan Builder
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.

{{training_goal}}
Training goal
Training goal
increase organic traffic and generate product sales
{{training_programme}}
Training programme
Training programme
Nutrition and Training Integration System example context
{{dietary_preferences_and_restrictions}}
Dietary preferences and restrictions
Dietary preferences and restrictions
Nutrition and Training Integration System example context
{{daily_schedule_and_meal_timing_constraints}}
Daily schedule and meal timing constraints
Daily schedule and meal timing constraints
Nutrition and Training Integration System example context
THE AGENTS

The 3-step sequence.

01
AGENT Β· NUTRITION STRATEGIST

Nutrition Strategist Training

GOAL OF THIS STEP

goal, preferences, schedule Define the nutritional strategy to support the training goal. Calculate approximate calorie and macro targets. Identify the most important nutritional principles for this specific goal. Nutrition strategy: Calorie target Macro split Key principles Foods to prioritise Foods to limit

EXPECTED OUTPUT

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

agent-01-nutrition-strategist-training.md
### Input
Use the main workflow variables above.

### Task
goal, preferences, schedule Define the nutritional strategy to support the training goal. Calculate approximate calorie and macro targets. Identify the most important nutritional principles for this specific goal. Nutrition strategy: Calorie target Macro split Key principles Foods to prioritise Foods to limit

### Output
Return the deliverable specified for this agent in the source system.
02
AGENT Β· MEAL TIMING

Meal Timing and Structure Designer

03
AGENT Β· 7-DAY MEAL

7-Day Meal Plan Builder

HOW TO RUN

Three steps. 9 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 3 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.

Nutrition Strategist Training

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

Meal Timing and Structure Designer

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

7

Day Meal Plan Builder – 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.

Free