If you are in the job market, you probably know this pain. One job description. Thirty minutes (conservative) of manually tailoring your CV and cover letter. Ten jobs on your "To Apply" list. That's 5 hours gone on a weekend - not interviewing, not networking. Rewriting the same document over and over. I built something to fix that. And it's built around @Nate Herk's 3Ms - Mindset, Method, Machine. <<-- 1st M: MINDSET - stop rewriting from scratch -->> What if your career was a structured data source, not a Word document you panic-edit before every application? That shift in thinking is where this whole system starts. Instead of rewriting for every role, you maintain one master profile. The job description drives the tailoring. AI generates the doc for you. You never start from zero again. <<-- 2nd M: METHOD - structure before automation-->> The system doesn't work like a generic "write me a resume" prompt. A guided onboarding flow interviews you once and builds your master profile - your single source of truth. A "/apply-for-job" command reads that profile, the job description, and any project references you've stored, then generates ATS-safe .tex files ready for submission. It also handles language. Applying to a German company? The system switches to German section headings, German date formats, and German cover letter conventions automatically. <<-- 3rd M: MACHINE - build it like a boring workflow, not a magic agent -->> No app. No backend. No SaaS. Just files, prompts, templates, and rules - working together like a pipeline. Deliberately simple. Deliberately repeatable. But the part I'm most proud of isn't the document generation. It's the gap analysis that runs before anything gets written. Before the system produces a single line of your CV, it reads your profile against the job description and tells you: - Where you're a strong match - Where your profile is weak or missing evidence - What needs to be reframed or emphasized

@Nate Herk spoke about a session handoff skill in his latest voice agent video. I searched the community a bit and could not find it. If someone know where to find it, could you please point me there? Thanks in advance. @Ais Agent @Ais Support

Hello everyone, Recently i decided to move from a locally hosted n8n to Hostinger VPS to host my n8n workflows. I subscribed to a KVM 1 plan and tried to access the n8n instance on the VPS. I was hit with a "This Connection Is Not Private" error. Why - my new VPS did not have an SSL certificate. So i figured this might be a common issue for anyone who is starting out with Hostinger or any VPS of the kind. In the attached PDF, I (honestly my Claude) list down all the steps that I followed to fix the issue and get my VPS up and running. hope this is helpful. Enjoy 😊 A huge shout out to @Zian Ansar for nudging me in the right direction.

Voice agents used to mean clicking through ElevenLabs dashboards and wiring up API endpoints by hand. In this one I built a working voice agent for a website that captures leads and books discovery calls through cal.com, all by describing it in plain English to Claude Code. You'll see the full build, the bugs I hit along the way, and how I debugged them without ever touching the docs.

In this video I walk through how I built a fully automated video production pipeline using Claude Code, HeyGen, and ElevenLabs. You'll see how Avatar V creates realistic AI clones, how to get voice cloning that actually sounds like you, and how Claude Code orchestrates the entire process so you can go from raw script to finished video overnight. I also cover the real costs, the limitations, and the objections you're probably already thinking about.