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Multi-agent planning · Career intelligence

CrewAI Career Roadmap Team

A multi-agent career-planning notebook that delegates research, skill-gap analysis, sequencing, and roadmap synthesis to clearly scoped CrewAI roles.

CrewAI Career Roadmap Team project poster
Project evidence · 2026

Case study brief

The problem, then the product response.

01 · Challenge

Career planning combines research, skill-gap assessment, sequencing, and synthesis, which can become unfocused when handled by one broad prompt.

02 · Response

I used CrewAI to divide the problem among specialist agents and combine their outputs into a practical, sequenced roadmap.

System anatomy

How the system coordinates work.

The architecture is expressed as responsibilities and boundaries so the model, workflow logic, interfaces, and human controls remain inspectable.

01

Specialist agents own research, gap analysis, learning paths, and final synthesis

02

Explicit tasks and expected outputs keep delegation inspectable

03

The crew combines findings into a sequenced, actionable roadmap

Implementation

What I built and the decisions behind it.

01

Assigned separate roles for research, gap analysis, learning paths, and final synthesis.

02

Defined explicit tasks, context, and expected outputs for each agent.

03

Structured the execution order so later tasks build on reviewed earlier work.

04

Combined findings into an actionable roadmap rather than isolated suggestions.

Evidence & validation

What an evaluator can inspect.

Executed CrewAI notebook.

Saved final-roadmap evidence and architecture explanation.

Project poster set and LinkedIn publication.

Reflection

Multi-agent collaboration becomes useful when roles reduce ambiguity and outputs have clear contracts; adding agents without boundaries only increases noise.

Next iteration

  • Add citations to research outputs.
  • Introduce a critic agent with explicit quality criteria.
  • Compare the multi-agent result against a single-agent baseline.

Outcomes

What the project delivered.

Clear agent roles and task boundaries

Notebook execution evidence and documented final output

Professional poster and separate project publication

Technology & concepts

01CrewAI02Agents03Python04Planning05Research