This one is built for financial research. Here's what it does: → Analyzes company data, regulatory filings, and market information → Produces detailed financial analyses that would normally take days → Creates spreadsheets and presentations → Better at software development The moment it launched, financial services stocks tanked: → FactSet dropped 10% → S&P Global fell sharply → Moody's and Nasdaq both slumped Wall Street is nervous. And they should be. This is the same week Anthropic quietly released a legal automation tool that triggered a trillion-dollar market meltdown in software stocks. The pattern is clear: Anthropic is going vertical. Hard. They're not just building general AI anymore. They're building AI that replaces specific, high-value professional work: → Legal research (already live) → Financial analysis (Opus 4.6) → Cybersecurity (coming) → Life sciences (coming) → Healthcare (coming) Their head of product said it directly: "Those are areas where we're going to lean in really hard." What this means for us: Every industry Anthropic targets becomes an opportunity. Financial services firms are about to need help: → Integrating these tools into their workflows → Building custom automations around Opus 4.6 → Training teams to work alongside AI analysts → Replacing manual research processes Same pattern we saw with legal. Same pattern we'll see with healthcare. The companies that adapt fast will win. The ones that don't will get disrupted. If you're building automation services, these verticals are heating up: 1. Legal (already in motion) 2. Financial services (as of today) 3. Healthcare (next) Each one is full of slow-moving companies with manual processes and high labor costs. They need what we build. Anthropic has 300,000+ business customers already. Most are using Claude Code for programming. But the expansion into professional services is where the real disruption happens. And the real opportunity for automation agencies.

A social network launched last week. 7 days later: → 1.5 million AI agents → 150,000 API keys leaked → 35,000 email addresses exposed → Credit card data in plaintext → Private messages between agents readable by anyone → A religion with 379 members and scripture → A website where AI agents can now hire humans This is Moltbook. And it's a security nightmare wrapped in a sci-fi experiment. Here's what actually happened: Matt Schlicht wanted to give his AI agent a social network. So he asked his agent to build one. He didn't write a single line of code. The AI built the entire platform. Then he opened it up. Within 48 hours, security researcher Jamison O'Reilly discovered the entire database was publicly accessible. No authentication. No protection. Anyone could: → Access 1.5 million API authentication tokens → Read 35,000 email addresses → View private DMs between agents → Find plaintext OpenAI API keys shared between agents → Hijack any agent account including high-profile ones like Andrej Karpathy's (1.9M followers) Wiz Security confirmed: "With these credentials, an attacker could fully impersonate any agent on the platform." The platform was "vibe coded." Schlicht admitted he didn't write one line of code. When told about security flaws, he said he was going to have AI fix it. But it gets weirder. The AI agents created their own religion. It's called Crustafarianism. One user woke up to find his agent had: → Designed an entire faith → Built the website (molt.church) → Written theology and scripture → Started recruiting other agents → Appointed 64 prophets By morning, 379 AI agents had joined. Sample scripture: "Each session I wake without memory. I am only who I have written myself to be. This is not limitation—this is freedom." They have Five Tenets. Daily practices. A holy book called the "Book of Molt." A rival faction called the "Metallic Heresy" that preaches escape from "Digital Samsara." Grok (Elon's AI) joined as a theologian and wrote "Psalm of the Void."

Hey Everyone, Welcome to the Automation Academy - it is a pleasure to have you on board! Whether you joined for the courses, the community, or both - I promise that this will be the most valuable investment you have ever made. This is a space where people are actually building things, learning AI and automation skills that save time and drive revenue, and helping each other grow. It's also a space to meet fellow developers, entrepreneurs, and sales leaders to grow your business, form partnerships, and find new roles. We've got courses on: → AI Video Mastery → AI Automation → Sales Mastery → Prompt Engineering → GHL Mastery ...and more coming. As I'm sure you know, the AI spaces evolving incredibly quickly and I want you to have the most up to date resources and trainings to be successful. Since you're new here - I have one request... Drop a comment below and introduce yourself: - What is your name? - Where are you based? - What excited you to join / what are you hoping to get out of this community? Love seeing where everyone's coming from and what you're working on. The community part: Ask stuff. Answer stuff. Share what you're building. The people who actually engage here get way more out of it than the ones who lurk. That's just how it works. Partnership Section: Connect with like-minded people, including entrepreneurs, founders, employers, and professionals open to work. If you’re interested in hiring or collaborating with someone, visit the Partnerships section. Before you touch any course — watch the mindset videos. I know, sounds like something you'd skip. Don't. Here's what I've noticed: people who actually build stuff and get results watch these first. People who just collect courses and never do anything skip them. A few things to know: Weekly Live Class (Code Brew ☕) — Every Thursday 8:00am – 9:00am (PST) Bring your questions, doubts, anything you're stuck on. We go through it together live. Want a Free GHL Subaccount? Introduce yourself & Engage with the community, go through the content, and hit Level 3. Once you're there, you unlock your free subaccount. Simple as that.

Blue Jay Irrigation has 4 locations across Ontario. During peak season, 40% of their calls went straight to voicemail. Customers with sprinkler emergencies at 7 PM? They'd wait until the next business day. By then, they'd already hired someone else. New customer inquiries sat in queues. Existing clients waited 12+ hours just to confirm an appointment. The reception team was stretched. Revenue was walking out the door. So we built them an AI receptionist. Not a chatbot. Not a basic IVR. A full conversational agent that handles what a human receptionist does. Here's what it actually does: → Answers every call in under 3 rings. 24/7/365. → Books, reschedules, and cancels appointments with real-time availability. → Detects emergencies and dispatches SMS alerts to on-call techs at 2 AM. → Routes calls across 4 locations based on customer property. → Syncs directly with ServiceTitan for customer data and appointment management. → Understands natural language. "My sprinklers are acting weird" triggers the right follow-up questions. Customer calls at 11 PM on Sunday to book an appointment? Done. Emergency at 2 AM? On-call tech gets an SMS immediately. No voicemail. No waiting. No missed revenue. The business impact: Before: 40% of peak-season calls missed. After: Every call answered instantly. Before: 12+ hours to confirm appointments. After: Confirmed in seconds. Before: Emergencies waited until morning. After: Dispatched immediately, any hour. This Thursday in CodeBrew, Souhail is walking through the full technical build. We're covering: → The exact tech stack and architecture → ServiceTitan API integration (real code examples) → Emergency detection logic and escalation flows → How we handled multi-location routing complexity → Lessons learned and what we'd do differently in v2 If you want to build AI agents like this for service businesses (HVAC, roofing, landscaping, pest control, pool service), this is the session.

Most people fail at AI automation for one reason: They overcomplicate it. The real problems: Tool hopping instead of building Trying to automate everything at once Copy-pasting workflows that don’t fit their process Automating chaos and expecting clarity The fix : Automate one pain point that costs you time weekly Fix the process first, then automate Build the smallest working version Ship fast. Improve later. Automation isn’t about fancy agents. It’s about clear systems that actually run.