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๐Ÿ”’ Q&A w/ Nate is happening in 3 days
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๐Ÿš€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 youโ€™ve been thinking about joining AIS+, itโ€™s a good time.
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๐Ÿ† Weekly Wins Recap | May 9 โ€“ May 15
From โ‚ฌ17K 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. ๐Ÿš€ Standout Wins of the Week inside AIS+ ๐Ÿ‘‰ Malek Kilani closed his first โ‚ฌ17K agentic AI build for a sales coaching company using enterprise presales experience as the unfair advantage. ๐Ÿ‘‰ @Michael Elliott shipped a $35K certification platform with 100+ API endpoints, Stripe integrations, AWS infrastructure, and recurring monthly revenue attached. ๐Ÿ‘‰ @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. ๐Ÿ‘‰ Ismail Islam officially launched TradePulse โ€” a full AI-powered trading intelligence platform combining dashboards, Telegram automation, and economic analysis workflows. ๐Ÿ‘‰ @Cagri Sarigoz launched HeyNews on Product Hunt after 12 months of iteration and more than 600 AI-assisted newsletter issues. โธป ๐ŸŽฅ Super Win Spotlight | @Ailin Werner Ailinโ€™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.
๐Ÿ† Weekly Wins Recap | May 9 โ€“ May 15
This Claude Skill Is Quietly Killing Product Photoshoots
This is how brands are replacing โ‚น50,000 product shoots with a few random iPhone photos. Founders are wasting way too much time trying to get clean product shots. So I built a Claude skill that fixes that. You take a few random photos on your iPhone, drop them into Claude, choose between 3 shot styles, and it passes everything into Nano Banana to turn them into studio-level product images. Iโ€™ve tested this on labels, stitching, reflective packaging, clothing textures, skincare bottlesโ€ฆ and the detail recreation is honestly getting scary accurate. Which is insane because this level of quality used to need photographers, lighting setups, expensive studios, and full production teams. Now it takes minutes. And hereโ€™s the part most brands still havenโ€™t understood: The company testing 50 creatives a week will destroy the company testing 5. Because attention is no longer about production budgets. Itโ€™s about creative speed. Here's the link to my claude skill
This Claude Skill Is Quietly Killing Product Photoshoots
Need help building a lead scraping pipeline for a client โ€” pipeline advice + monthly costing
Hey everyone, Got a client in the B2B professional services space. They've given me a detailed ICP โ€” specific industries, company sizes, geographies, and the exact personas/job titles they want to target (think Owners, Principals, Directors of Engineering, Solo consultants, Project Managers โ€” that kind of decision-maker level). They want those leads automatically scraped and loaded into their CRM with these fields populated: Company name, website, company size, primary service domain, key contact name, contact title, email address, LinkedIn profile URL, phone number, qualification score, current status, and notes. They've specifically suggested using **LinkedIn Sales Navigator, Apollo.io, Lusha, and UpLead** as the tools to get this data. My questions: 1. Pipeline โ€” how would you structure this? Given those four tools, what's the most sensible way to chain them together? Do you use one as primary and the others as fallback when data is missing, or do you run them in parallel? What does the actual flow look like from "search for contacts matching ICP" to "contact sitting in CRM with all fields filled"? 2. Monthly cost โ€” how do I estimate this for the client? This is where I'm stuck. The client will be paying for the tools directly once I deploy. How do I give them a realistic monthly running cost? Each tool has its own credit system and the actual spend depends on how many contacts you're pulling and how many fields you need revealed. Has anyone worked out a rough cost-per-lead across these tools? Even a ballpark would help โ€” like "for X leads a month expect to spend around $Y across these tools." Any input from people who've worked with these tools appreciated.
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