New video up. HR onboarding agent. Full workflow: → Reads passports, driver's licenses, offer letters with Claude vision → Auto-creates HRIS records, IAM accounts, onboarding checklists → Sends I-9 / W-4 to eSignature, enrolls benefits, orders background checks → Tracks compliance deadlines (I-9 at hire+3 days, state new-hire reporting at hire+20) → Flags REVIEW_REQUIRED for HR. Human in the loop, always. But the real lesson isn't in any of that. Background checks come back as "clear," "consider," or "fail." A naive agent auto-rejects on "consider." That's where compliance breaks. EEOC requires individualized human assessment, not algorithmic rejection. The fix wasn't a bigger system prompt. It was ONE line in the tool description: "If result is 'consider,' alert HR for manual review. Never auto-block." Production agents aren't built in the system prompt. They're built in the tool descriptions. Stack: Python · Claude Agent SDK (sonnet-4-6 + vision) · AgentAPIsHub · httpx · Pydantic · Rich 9 modules · 26 tools · 1,200 lines. 🎥 Full walkthrough + downloadable source: https://www.youtube.com/watch?v=-XcBsPWr1KY Question for builders here. What's one tool description you've written that quietly saved you from a production bug? Drop it below.

We are currently 272 / 500 founding members. Before this community becomes paid, early members get lifetime free access. But don’t just join and disappear. Here is your first mission: Day 1: Introduce yourself Day 2: Share what you want to build with AI Day 3: Pick one tool: OpenAI SDK, CrewAI, n8n, or Claude Day 4: Build a tiny agent or automation Day 5: Post your result Day 6: Ask for feedback Day 7: Improve it and share version 2 Comment below: 1. Your name 2. Your skill level 3. What AI agent or automation you want to build first

Not a ranking. Just what I keep coming back to: 𝗳𝗿𝗼𝗻𝘁𝗲𝗻𝗱-𝗱𝗲𝘀𝗶𝗴𝗻: stops every landing page from looking the same (Inter, purple gradient, grid cards). Forces real design direction before code gets written. 𝘀𝗶𝗺𝗽𝗹𝗶𝗳𝘆: run it after working code exists. Finds everything unnecessary and returns a cleaner version. I use it as a final pass on almost everything. 𝗯𝗿𝗼𝘄𝘀𝗲𝗿-𝘂𝘀𝗲: lets Claude control a real browser. Clicks, fills forms, takes screenshots, runs parallel sessions. Useful when there's no clean API. 𝘀𝗵𝗮𝗻𝗻𝗼𝗻: real pen tests on your staging environment. Confirmed vulnerabilities only, proof of concept included. No false positives. (systems you own, obviously) 𝘁𝗲𝘀𝘁-𝗱𝗿𝗶𝘃𝗲𝗻-𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: activates before implementation. Enforces TDD discipline instead of writing random tests after the fact. 𝗰𝗼𝗺𝗽𝗼𝘀𝗶𝗼: Claude plus external services (Gmail, Slack, GitHub, Notion, 100+ more). Handles all OAuth and credential management. 𝗮𝗻𝘁𝗶𝗴𝗿𝗮𝘃𝗶𝘁𝘆 𝗮𝘄𝗲𝘀𝗼𝗺𝗲-𝘀𝗸𝗶𝗹𝗹𝘀: 1,200+ community skills by category. Install a bundle, keep what works, remove what doesn't. How skills work: Claude scans installed skills at startup using about 100 tokens each. Full instructions only load when relevant. You can have dozens without blowing through context. The best skill you'll install? One you build yourself. If you keep re-explaining the same workflow across sessions, that's a skill waiting to be made.

Claude just launched Computer Use. And honestly, it feels a little crazy at first. Step 1: you text Claude from your phone. Step 2: Claude uses your computer. Yes, really. It can work almost like a digital employee. You can ask it to do something right now, or set it up to handle the same task every single day. That’s why so many people got excited about this. Millions saw the announcement in just 24 hours. I tested it myself, and it’s one of those tools that instantly makes you think about how work is about to change.

I just published a video on OpenClaw, a tool that gives a glimpse of that future. This is not just AI that talks. This is AI that can connect with tools, support tasks, and help automate real work. In this video, we cover: • Setup • Skills • Dashboard • Personal Assistant Demo • Telegram integration That’s powerful.And that’s exactly why people need to understand both the opportunity and the risk. If you’re trying to understand where AI is going next, this video will give you a clear picture.