Everyone is hiring one AI tool at a time. I built a whole company instead — 147 agents across 14 divisions, all running inside a single workspace, all open source, all deployed with a single prompt. In this video I break down the exact 4-agent SDR team I'm running every Monday morning — Outbound Strategist, Account Strategist, Sales Outreach, and Reality Checker — that scrapes real data off LinkedIn, X, and company sites, drafts personalized cold emails, and kills anything that smells like AI slop before it reaches my sent folder. The full stack costs about $6/month and runs the whole thing on autopilot. What you'll learn: - How to install all 147 agents in one prompt - Deploying OpenClaw on Hostinger (one-click setup) - Wiring in OpenRouter (300+ models, one API key, free tier) - The Apify plugin that gives your agents real-world data - The exact Monday Morning SDR workflow (prompt included) 📎 I put together a full step-by-step guide with every command and prompt from the video — grab it pinned below. 🎁 Skool-only deal: Apify hooked up the community with 25% off any paid plan. Use this link to claim it: 👉 https://console.apify.com/sign-up?fpr=puru&couponId=25UP This is the same data layer I'm using to scrape LinkedIn, X, and company sites for the SDR team in the video. The free tier is enough to test, but if you're running this at scale, the 25% off basically pays for itself on the first campaign. Drop a comment with the team you'd build first — SDR, influencer tracking, competitive research, customer support — whichever one wins

Cowork is now available on Windows. Full feature parity with MacOS: file access, multi-step task execution, plugins, and MCP connectors.

Fully autonomous AI hacker to find actual exploits in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-aware XBOW Benchmark. ❤️ Shannon is open source (AGPL v3) 16.3K ⭐️

I was burning ~$50/week on my Claudebot and had NO idea where it was going. 😳 Did a full cost audit and found that 85% of my spend was either pure waste (heartbeats, context bloat) or tasks routed to models way too expensive for the job. Three layers of fixes changed everything: → Moved background processes to a free local model → Smart model routing (Haiku for routine, Opus only when needed) → Prompt caching + lean context files Weekly cost went from $50 → under $10. Same agent. Same capabilities. Just configured right. I put together a free guide with the full audit framework, config templates, and a step-by-step checklist 👇 🔗 https://www.notion.so/The-Complete-Guide-to-Running-Your-AI-Agent-Without-Burning-Money-300679d53e048009bdf5ef65c44580f6 Drop your current Claudebot costs in the comments — curious what you guys are seeing.