Multi-agentCareer & Professional GrowthAdvancedFree

Job Search Acceleration System.

4 agents, 4 deliverables.

Run a multi-agent workflow to produce an execution-ready job search acceleration system deliverable.

WORKFLOW META
Agents4
Total tokens (avg)~500
Run time12 min
AI toolChatGPT Β· Claude Β· Gemini
Variables5
DifficultyAdvanced
CategoryCareer & Professional Growth
SEQUENCE MAP Β· CLICK TO JUMP
Β· 01 Β·
Job Search Strategist
Β· 02 Β·
Application Materials Optimiser
Β· 03 Β·
Outreach Campaign Designer Strategy and materials
Β· 04 Β·
Interview Preparation System
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.

{{target_role}}
Target role
Target role
SEO content strategist
{{industry}}
Industry
Industry
AI education and prompt templates
{{current_experience_level}}
Current experience level
Current experience level
Job Search Acceleration System example context
{{timeline_to_new_role}}
Timeline to new role
Timeline to new role
SEO content strategist
{{current_biggest_job_search_challenge}}
Current biggest job search challenge
Current biggest job search challenge
Job Search Acceleration System example context
THE AGENTS

The 4-step sequence.

01
AGENT Β· JOB SEARCH

Job Search Strategist

GOAL OF THIS STEP

Target role, industry, experience level, timeline Define the job search strategy. Identify target companies, the most effective channels (job boards vs. direct outreach vs. recruiter), and the positioning statement for all applications. Target company list (10-15) + channel priority + positioning statement for applications

EXPECTED OUTPUT

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

agent-01-job-search-strategist.md
### Input
Use the main workflow variables above.

### Task
Target role, industry, experience level, timeline Define the job search strategy. Identify target companies, the most effective channels (job boards vs. direct outreach vs. recruiter), and the positioning statement for all applications. Target company list (10-15) + channel priority + positioning statement for applications

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

Application Materials Optimiser

03
AGENT Β· OUTREACH CAMPAIGN

Outreach Campaign Designer Strategy and materials

04
AGENT Β· INTERVIEW PREPARATION

Interview Preparation System

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.

Job Search Strategist

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

Application Materials Optimiser

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

Outreach Campaign Designer Strategy and materials

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

Interview Preparation System

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