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Agent searched jobs against his CV and built his application pack

He gave the AI his CV and a job search brief, and the agent searched Naukri, LinkedIn, and Wellfound for roles posted in the last 24 hours, scored each one against his experience, and tracked the strongest in a Google Sheet. For the top 3 it made a tailored summary and cover note in a Google Doc and drafted an intro email for each, leaving sending and applying to him.

How it works

  1. Gave the agent his CV and a written brief
  2. Agent searched Naukri, LinkedIn, and Wellfound for roles from the last 24 hours
  3. Scored each role against the CV and noted gaps
  4. Tracked the strongest roles in a Google Sheet
  5. Built tailored summary and cover note docs for the top 3
  6. Drafted an intro email for each

Why it’s worth knowing

The agent did the whole search, scoring, tracking, and tailoring chain across three job boards and his Google files, and stopped exactly at the send step

Where it’s from

Summarized from a public post on youtube.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
Upgraded prompts are coming soon.

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