Autonomous OpenClaw Agent Runs 24-Hour Cold Outreach with API Keys
A developer conducted an experiment giving an OpenClaw agent full read/write access to run an entire cold outreach operation for 24 hours with zero human intervention. The agent handled lead generation, qualification, hyper-personalized cold emailing, and content scheduling autonomously.
The Tech Stack
- Agent Framework: OpenClaw (handles the autonomous loop and reasoning)
- Execution/Integrations: Zapier MCP (Model Context Protocol) for native access to Gmail, Google Sheets, and social scheduling
- Research: Brave Search API for querying the web, reading company 'About' pages, and identifying pain points
- LLM: Gemini/OpenRouter to handle heavy context windows during qualification
The 3-Step Execution Loop
- Search & Scrape: The agent queries Brave for specific company types
- Qualify: Cross-references scraped data against strict rules (company size, niche signals), pulls contact info if qualified, and logs it in Google Sheets via Zapier
- Execute: Drafts a highly personalized email referencing specific details from the company's site, then triggers Zapier Gmail integration to send it
The developer notes that the biggest bottleneck isn't LLM reasoning but rate limits and getting integrations to fire cleanly without timing out. The experiment required careful setup with specific constraints to prevent hallucinations or spam. The developer questions what safeguards others are implementing when trusting agents with live email credentials.
📖 Read the full source: r/openclaw
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