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Case study · Productivity

Human-in-the-Loop Content & Career Agent

A local-first, three-agent assistant that drafts LinkedIn posts, comments and tailored cover letters and scores topics against live web search. Every publish and apply action is left to a human by design.

Client
Product build
Project
Content Copilot
Status
Delivered
Cooperating agents
3
Topic scoring
Web-grounded
Automated publishes, by design
0

The challenge

A consistent LinkedIn presence and tailored job applications take hours every week.

Fully automated posting tools break platform terms and produce generic content that damages credibility.

System architecture4 stages
  1. 01

    ResearchLive web search

  2. 02

    ScoreTopic relevance scoring

  3. 03

    DraftPosts, comments, cover letters

  4. 04

    ReviewHuman edits and publishes

Architecture · 4 stages

  1. 01

    Research

    Live web search

  2. 02

    Score

    Topic relevance scoring

  3. 03

    Draft

    Posts, comments, cover letters

  4. 04

    Review

    Human edits and publishes

The solution

I built a three-agent system that researches and scores topics against live web search, then drafts posts, comments and tailored cover letters.

It runs locally, and every publish or apply action stays manual, which keeps users within platform terms of service.

Engineering highlights

  • Three-agent architecture
  • Topic scoring grounded in live web search
  • Drafts posts, comments and cover letters
  • Compliance by design: a human publishes

Technology

  • Python
  • React
  • OpenAI API
  • Web search

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