Multi-agentTechnology & Data AnalysisAdvancedFree

Tech Team Hiring & Culture System.

3 agents, 3 deliverables.

Run a multi-agent workflow to produce an execution-ready tech team hiring & culture system deliverable.

WORKFLOW META
Agents3
Total tokens (avg)~500
Run time9 min
AI toolChatGPT Β· Claude Β· Gemini
Variables4
DifficultyAdvanced
CategoryTechnology & Data Analysis
SEQUENCE MAP Β· CLICK TO JUMP
Β· 01 Β·
Technical Hiring Framework Designer
Β· 02 Β·
Technical Interview System Builder
Β· 03 Β·
Engineering Culture Designer
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.

{{engineering_team_size}}
Engineering team size
Engineering team size
2 marketers, 1 designer, 1 developer
{{roles_to_hire}}
Roles to hire
Roles to hire
Backend Engineer, DevOps, Data Scientist
{{company_stage}}
Company stage
Company stage
Tech Team Hiring & Culture System example context
{{engineering_culture_goal}}
Engineering culture goal
Engineering culture goal
increase organic traffic and generate product sales
THE AGENTS

The 3-step sequence.

01
AGENT Β· TECHNICAL HIRING

Technical Hiring Framework Designer

GOAL OF THIS STEP

Design the technical hiring framework. Define: the engineering competency model (5 levels: L1 Junior β†’ L5 Principal, with skill expectations at each level), the target level for each role to hire, the technical assessment approach (take-home project vs. live coding vs. system design vs. portfolio β€” recommend the right method for each role and justify why), and the technical evaluation rubric (how to score candidates consistently β€” 5 dimensions with descriptors).

EXPECTED OUTPUT

5-level competency model + target level per role + assessment approach + evaluation rubric (5 dimensions)

agent-01-technical-hiring-framework-des.md
### Input
Team size, roles, stage, culture

### Task
Design the technical hiring framework. Define: the engineering competency model (5 levels: L1 Junior β†’ L5 Principal, with skill expectations at each level), the target level for each role to hire, the technical assessment approach (take-home project vs. live coding vs. system design vs. portfolio β€” recommend the right method for each role and justify why), and the technical evaluation rubric (how to score candidates consistently β€” 5 dimensions with descriptors).

### Output
5-level competency model + target level per role + assessment approach + evaluation rubric (5 dimensions)
02
AGENT Β· TECHNICAL INTERVIEW

Technical Interview System Builder

03
AGENT Β· ENGINEERING CULTURE

Engineering Culture Designer

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.

Technical Hiring Framework Designer

5-level competency model + target level per role + assessment approach + evaluation rubric (5 dimensions)

Technical Interview System Builder

4-part interview system per role: screen questions + take-home brief + 2 system design questions + 5 values questions

Engineering Culture Designer

5 engineering principles + code review culture + post-mortem culture + debt philosophy + learning culture program

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