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Clint CLI for AI-powered outreach workflows

Project description

Clint: AI-Driven Enterprise Outreach

Clint is a production-ready automation suite for lead generation, audit-based personalization, and multi-step outreach.

Documentation index: docs/README.md

Quick Start

CLI users

pip install sagarithm-clint
playwright install chromium
clint version
clint init
clint config doctor
clint run --query "Dentists in California"

Python library users

from clint import Engine

engine = Engine(api_key="your_openrouter_key")
result = engine.personalize({
    "name": "Jane Doe",
    "company": "TechCorp",
    "title": "CTO"
})

print(result["body"])

Core Capabilities

  • End-to-end autonomous campaigns (discover, enrich, personalize, outreach)
  • AI-based audit and proposal generation
  • Multi-step follow-up workflow
  • Email and WhatsApp channels
  • Local dashboard and export tools
  • Production-safe dry-run mode

Docs Map

Common Operations

clint run --query "Dentists in California"
clint run --query "Dentists in California" --live --target 50 --send-limit 20
clint scrape --query "Hotels in London" --target 20
clint followup --days-since-last 3 --channel email
clint export --table all
clint dashboard --host 127.0.0.1 --port 8000

Safety Defaults

  • Dry-run is default for campaign runs
  • Recommended daily volume: ~200 emails and ~200 WhatsApp messages
  • Randomized send delays help reduce detection risk
  • Activity logs are written to logs/outreach.log

Development

pip install -r requirements.txt
pytest -q

Current release line: v1.0.3

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