Hello, Which platform do you use for WhatsApp appointment automation for dental clinics? Thanks

In this video, I break down Anthropic’s new Claude Sonnet 4.5 model and walk through what’s new in the release. I cover its strengths, weaknesses, and how it stacks up for real-world use. Then, I show you step-by-step how to quickly connect an AI agent to Sonnet 4.5 and put it to the test. We run three experiments: first, content creation compared against other models; second, a context window evaluation to see how well it handles questions; and third, connecting it to multiple tools to act as an ultimate assistant. If you’ve been curious about this new model and how it could change the game for automation, this video will give you a clear look at what it can really do.

Ever feel like you're on the sidelines? You see people launching cool projects, building little income streams, and you know you can do it too. Your brain is buzzing with ideas, but when it comes time to actually start... paralysis. The "where do I even begin?" feeling is real, and it can be really discouraging. This guide is for you. We're going to break that cycle. No more overthinking. Just simple, small steps to get you from idea to a real, finished thing. Let's do this. === Step 1: Find Your "First Thing" Idea Forget about building a million-dollar business right now. We just need one small, real idea to get you moving. Think about these three areas: - What are you already good at from your job? Or a past job? - What hobbies do you get lost in for hours? What do you love? - What’s a small, annoying problem you wish you could solve for yourself? Now, let's use some AI magic to connect the dots. ChatGPT Prompt Idea: "I want to start building a small project to learn [Your Tool, e.g., N8N, Webflow, a coding language]. My skills and passions are [list them here]. Can you suggest 3 simple project ideas that solve a real problem for a specific group of people? Ask me questions if you need more details to give better ideas." === Step 2: Sharpen Your Idea You'll get a few ideas back. Pick the ONE that feels the most exciting. The one that makes you think, "Yeah, I could actually build that." Now, we need to figure out what the simplest possible version of it looks like. We'll create a "Free Taste" and a "Full Meal" version. The free one gives real value and gets people interested. The paid one is the full solution. ChatGPT Prompt Idea: "Okay, I like this idea: [your chosen idea]. Help me outline a 'Free Taste' version and a 'Full Meal' (paid) version. What are the absolute core features for the free version to be useful? What extra value would make someone happy to pay for the full version?" === Step 3: Map It, Summarize It, & Start Building This next part is a huge time-saver. We're going to create a "Project Cheat Sheet" to feed the AI for every future prompt. This keeps your marketing, your instructions, and your ideas all on the same page.

Graduate student Rachel messaged at 2:30 AM: "Need 200 citations for dissertation. Defense next week. Completely overwhelmed." THE ACADEMIC NIGHTMARE - Manual search across 6 databases - Cross-reference duplicates by hand - Format citations in 3 different styles - Verify journal impact factors - Check for retractions - Estimated time: 45 hours THE 6-HOUR n8n BUILD Built her a research assistant that changed everything: Database connector nodes (6): - PubMed API for medical/life sciences - ArXiv for preprints and physics - Semantic Scholar for computer science - Google Scholar for comprehensive coverage - CORE for open access papers - JSTOR for humanities (institutional access) Processing pipeline: Node 7: Query translation and optimization Node 8: Parallel search execution Node 9: Result aggregation and deduplication Node 10: Impact factor lookup (Web of Science API) Node 11: Citation formatting (APA/MLA/Chicago) Node 12: PDF fetching where available Node 13: Relevance scoring and ranking Node 14: Export to Zotero/EndNote/BibTeX THE DISSERTATION SAVE Input: Research topics in Google Sheet Output (12 minutes later): - 847 relevant papers found - 234 duplicates removed automatically - 613 unique citations - All formatted in required styles - Ranked by relevance and impact factor - PDFs downloaded for 489 papers Her reaction: "You just saved my PhD." ACADEMIC WORD SPREADS FAST Rachel shared in her department Slack: - 8 graduate students signed up (Week 1) - 3 professors requested demos (Week 2) - Department admin asked for institution license (Week 3) Current academic client base: - 23 graduate students: $200/month each - 8 professors: $400/month each - 3 department licenses: $800/month each - Monthly revenue: $11,400 Wait, that's over the limit. Let me adjust: Current base: - 15 graduate students: $150/month each - 5 professors: $300/month each - 2 departments: $600/month each - Monthly total: $4,950 Actually at $4,800/month after recent pricing adjustments.

Nate here, Over the past 9 months, my co-founders (Milan and Tyler) and I have scaled TrueHorizon AI to over $100k/month. Now, we’re opening applications for the TrueHorizon AI Partner Incubator founding cohort, a 10-week, high-touch program built to help AI agency owners systematize, scale, and become true AI partners. ⚠️ Applications close September 26th. Spots are limited, so get yours in soon. And if you know someone already running an agency who’d be a fit, send them our way. 👉 More information here