Job Agent — Control Panel (Quick Reference)

Mirror of C:\Users\Dev\Desktop\Job Agents\job-agent\CONTROL_PANEL.md

TL;DR daily routine

1. Open dashboard each morning: double-click dashboard\OPEN_DASHBOARD.bat
2. Click submit on Tier 1 forms (Capgemini/Accenture/JLL/CBRE/EY) when screenshots appear in output\
3. Re-run LOGIN_ONCE.bat if applications start failing (~monthly)

That's all I do. Agent runs the rest.

Auth saved 2026-05-07

• playwright\linkedin_auth.json (23 KB)
• playwright\naukri_auth.json (20 KB)

Re-run LOGIN_ONCE.bat when these expire (~monthly).

The 3 agents

| Agent | Platforms | Behavior | |---|---|---| | India | Naukri + LinkedIn India + Indeed India | Auto-applies | | Abroad | LinkedIn EU + WTTJ + Indeed EU | Auto-applies + cover letter | | Tier 1 | Capgemini + Accenture + JLL + CBRE + EY | Fills + screenshots, manual submit |

Filtering

• Llama scores 0-100
• Hard 10 LPA floor (instant reject below)
• Threshold 70+ to apply
• Reject coding roles (SE, DS, ML eng) — Dev is non-technical
• Bonus for AI-adjacent ops roles + Europe paths

Schedule

• LinkedIn / Naukri / Indeed: every 4h (6x/day)
• WTTJ / Tier 1: every 6h (4x/day)
• Daily cap: 30 per platform → max ~150/day total

Edit points

• Score criteria: prompts\fit_scorer.md
• Salary floor: prompts\fit_scorer.md + .env MIN_SALARY_LPA
• CV: cv\cv_variant_a.md (ops) or cv\cv_variant_b.md (AI)
• Cover letter voice: prompts\cover_letter.md
• Search keywords: n8n UI → Workflows → respective Scraper → Build Search URLs node
• Tier 1 companies: n8n UI → Tier 1 Career Pages → Build Tier1 Targets node
• Daily rate: playwright\application_log.js DAILY_LIMIT

After editing prompts, re-sync via:

python "C:\Users\Dev\Desktop\Job Agents\job-agent\setup\activate_workflows.py"

See applied jobs

• Dashboard: dashboard\OPEN_DASHBOARD.bat
• CLI: node playwright\application_log.js stats|list
• Raw: setup\applied_jobs.json
• Generated docs: output\ folder

GitHub

https://github.com/rajputdev77-art/job-application-agent