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🔒 Q&A w/ Nate is happening in 3 days
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🚀New Video: I Tested 3 Ways to Deploy Claude Agents (Here's When to Use Each)
If you've built skills and agents in Claude Code, the next step is getting them to actually run while you sleep. In this video I break down three simple ways to deploy your Claude Code automations, from the dead-simple /loop command to scheduled tasks and Claude routines, all the way to pushing your skills to Modal or Trigger.dev. You'll walk away knowing exactly which method fits which type of automation and how to pick the right one based on where it runs and how agentic it needs to be.
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ANNOUNCING: What's working in AI in 2026 (real projects, real revenue)
Quick news. We're doing our first virtual event, and the rule is simple: every person on stage has to show their actual work. The actual projects they're selling. The actual outreach they're using to land clients. The actual numbers behind it. No theory. No tutorials. Just what's working in 2026, taught by the people doing it. Waitlist's open. Get on it before tickets go live: -> What's working in AI in 2026 (real projects, real revenue) PS: Annual members of AIS+ get in for free. We will be announcing discounts for monthly members. If you’ve been thinking about joining AIS+, it’s a good time.
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🏆 Weekly Wins Recap | May 9 – May 15
From €17K agentic systems and $35K builds to AI leadership roles, first workflows, and launched products - this week inside AIS+ showed what happens when consistent reps finally start compounding. 🚀 Standout Wins of the Week inside AIS+ 👉 Malek Kilani closed his first €17K agentic AI build for a sales coaching company using enterprise presales experience as the unfair advantage. 👉 @Michael Elliott shipped a $35K certification platform with 100+ API endpoints, Stripe integrations, AWS infrastructure, and recurring monthly revenue attached. 👉 @Ailin Werner landed a Head of AI role after 8 months out of work by building publicly, sharing demos, and consistently showing her work online. 👉 Ismail Islam officially launched TradePulse — a full AI-powered trading intelligence platform combining dashboards, Telegram automation, and economic analysis workflows. 👉 @Cagri Sarigoz launched HeyNews on Product Hunt after 12 months of iteration and more than 600 AI-assisted newsletter issues. ⸻ 🎥 Super Win Spotlight | @Ailin Werner Ailin’s LinkedIn Ailin joined AIS+ after losing her job and deciding to fully commit to AI automation. At first, she was learning step-by-step through ChatGPT, debugging workflows manually, and spending countless hours figuring things out alone. Then she joined AIS+ planning to stay for just one month. That quickly changed.
🏆 Weekly Wins Recap | May 9 – May 15
Again free tokens from anthropic / Claude code 🚀🚀🚀🔥🔥🔥
Anybody else got a reset of there token dashboard today . It happened to me again . Last week and this week again . Was on 65% and still 3 days to go. Just 30 min ago got a reset on the whole dashboard . Anybody had this as well ?
Again free  tokens from anthropic / Claude code 🚀🚀🚀🔥🔥🔥
Built an AI Cybersecurity Analyst with n8n + Wazuh + Claude
The problem: my Wazuh SIEM fires hundreds of alerts a day across the home lab (Proxmox cluster, ~15 LXCs, all the usual attack surface). Most are noise. Some are real. Reading every one is not happening. So I built an n8n workflow that pipes every high-severity Wazuh alert through Claude Haiku, enriches it with infrastructure context, and pushes a real risk assessment to Slack. With shell commands to investigate. Per alert cost is about $0.001. Live demo in the video: I had Claude fire a brute-force SSH attack against one of my Proxmox nodes. Wazuh detected it (rule 5712, level 10). The workflow analyzed it. The Slack message correctly flagged it as "likely false positive — internal source, zero-trust network, no external exposure" and gave remediation steps anyway. The piece that makes it actually work is the infrastructure context block. You tell the LLM what's normal in your network. Without that, it just summarizes the alert at you. What's in the workflow: - Webhook listener (Wazuh fires it) - Config node (alert thresholds, model choice, timezone) - Infrastructure context block ← this is the secret - LLM analysis with provider swap (Anthropic, OpenAI, or local Ollama) - Formatted notification (Slack, Telegram, Teams, anything with a webhook) Three things to set up: LLM API key, Slack webhook, Wazuh webhook integration. Everything else is drag and drop with inline docs in the workflow JSON. Git it HERE The repo also includes an `AI-SETUP-PROMPT.md`, paste it into Claude or ChatGPT and the model will interview you through deployment, including building the infrastructure-context block from your specific environment. If you've built something similar or want me to cover a specific security workflow next (phishing triage, EDR enrichment, etc.), drop it in the comments.
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