Generates personalized, concise cold emails pitching Gracie AI Receptionist by scraping business websites for relevant details.
Purpose: Generate personalized cold emails pitching Gracie AI Receptionist to local businesses.
Takes a business name + website URL, scrapes their site to extract real context (services, staff, location), then uses Ollama (llama3.2) to write a short, specific cold email — not a template.
python3 ~/StudioBrain/00_SYSTEM/skills/cold-email-generator/generator.py \
--name "Victory Auto Repair" \
--url "https://victoryautosi.com" \
--phone "718-698-9896"
python3 ~/StudioBrain/00_SYSTEM/skills/cold-email-generator/generator.py \
--name "P.A.C. Plumbing" \
--url "https://pac-plumbing.com" \
--save
python3 ~/StudioBrain/00_SYSTEM/skills/cold-email-generator/generator.py --list
python3 ~/StudioBrain/00_SYSTEM/skills/cold-email-generator/generator.py --list --save
--save writes to: ~/StudioBrain/30_INTERNAL/WLC-Services/OUTREACH/[business-name].txtollama run llama3.2 with a structured prompt~/StudioBrain/00_SYSTEM/skills/scrapling/scrape.pyollama list to verify~/StudioBrain/30_INTERNAL/WLC-Services/LEADS/MASTER_LEAD_LIST.mdZIP package — ready to use