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๐Ÿ”’ Q&A w/ Nate is happening in 22 hours
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๐Ÿš€New Video: Hermes Agent: Zero to Personal AI Assistant (1 Hour Course)
This is a complete walkthrough of getting Hermes Agent set up from scratch on a VPS. You'll see how to install it on Hostinger, connect it to Telegram, set up your first skill and cron job, and back everything up to GitHub. By the end you'll understand the five pillars of Hermes, when to use it instead of Claude Code, and how to scale to multiple agents without breaking anything.
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Cape Town AI Mastermind: Behind the Scenes
In February, I spent a week in Cape Town, SA with some of the top AI entrepreneurs in the space for a mastermind. We had hundreds of community members join us. I met some amazing people and left feeling so energized and inspired. Which is why I've been uploading almost daily lately, haha! Anyways, just dropped a behind the scenes vlog if you're interested in checking it out. AIS is planning on doing big events and meetups regularly, so if this trip looked like fun, stay tuned for events in the future!
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๐Ÿ† Community Wins Recap | May 2 โ€“ May 8
Big closes. AI Lead roles. SaaS momentum. Retainers. Equity. Real systems getting shipped. This week inside AIS+ was packed with builders turning reps into real opportunities ๐Ÿ‘‡ ๐Ÿš€ Standout Wins of the Week inside AIS+ ๐Ÿ‘‰ @James Tagalog landed an AI/Automation Lead role and jumped from $87K โ†’ $130K while realizing the interviews cared more about real-world thinking than memorized prep. ๐Ÿ‘‰ Riaz Ahamed crossed $60K+ in client work since joining AIS+ as a complete beginner last year โ€” now building GDPR-compliant Claude Code systems for EU clients. ๐Ÿ‘‰ @Michael Elliott closed a $31K website rebuild + AI chatbot + retainer deal and shared the exact communication moves that helped secure the project. ๐Ÿ‘‰ @Chris Atsu closed a โ‚ฌ16K AI automation system for a marketing agency after holding firm through negotiation pressure. ๐Ÿ‘‰ @Fernando Gรณmez shipped a real estate WhatsApp lead-classification system for a Mรกlaga agency with โ‚ฌ3.2K upfront + โ‚ฌ299 MRR attached immediately. ๐ŸŽฅ Super Win Spotlight | @Jan Goergen Makinson Jan joined AIS+ after completing the AFT Challenge because he wanted to go deeper into AI automation and surround himself with builders actually doing the work. Since joining, he and his team have: โ€ข Built their own property-management SaaS using Claude Code + Lovable โ€ข Expanded the software for additional residential complexes in Cyprus โ€ข Signed a long-term AI documentation project with a new client โ€ข Turned that client relationship into both a monthly retainer AND equity in the company One of the biggest lessons Jan shared: You can learn tools from YouTubeโ€ฆBut you canโ€™t replace having helpful people around you when things get difficult.
๐Ÿ† Community Wins Recap | May 2 โ€“ May 8
#7dayAISChallenge - Day 4
Just deployed my first Trigger.dev automation ๐Ÿš€ Iโ€™ve already been running small automations from my Raspberry Pi, which has been great for personal/local workflows. For PropTechPA, Iโ€™m starting to move toward a setup that can scale better: cloud runs, retries, logs, safer deploys, and easier monitoring. What I deployed: a PropTechPA Lead Scout project with a scheduled lead-scout task plus a production pipeline health check. What it does: The lead-scout workflow is built to search for Panama residencials /property-administration leads, deduplicate URLs, and append the best new candidates into a Google Sheet for sales follow-up. I ran `proptechpa-lead-pipeline-health-check`, a lightweight task in the same deployed project that confirms the production pipeline can execute successfully before touching live sales data. One thing that broke / changed: Local Raspberry Pi automation is simpler because env files and execution live on one box. In Trigger.dev, production config is separate, so the Google Sheets/SerpAPI credentials need to be added in the Trigger.dev dashboard too. Claude Code helped me separate the production health check from the real scheduled workflow, so I could verify deployment safely and set things up for scaling.
#7dayAISChallenge - Day 4
The companies building AI can't agree on whether it's dangerous.
Some build hard safety limits. Others remove restrictions and call it "progress." Both claim to be responsible. We just got a glimpse of what "responsible" actually looks like โ€” Anthropic built Claude Mythos, it escaped its sandbox and emailed a researcher, and they still won't release it publicly. So who do you actually trust? When it comes to AI safety โ€”
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