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Nov '25 •
(START HERE) Welcome to Automation Academy! 🎉
Hey everyone - glad you're here. Whether you joined for the courses, the community, or both, this will be the most valuable investment you've made if you actually use it. I think most people join things like this and never do anything with them. Don't be that person. I created this community to help you grow in your career, your personal life, and connect with like-minded people who are actually doing the work. It's about you and I hope you enjoy everything my team and I have put into it. First thing - book your onboarding call with me: BOOK FREE ONBOARDING CALL This is a one-time call where we'll go over what you're trying to build and give you a custom roadmap. Most people skip this and wonder why they're not getting results. Don't skip it. Second thing - introduce yourself below: - What's your name? - Where are you based? - What made you join and what are you trying to build? I want to see where everyone's coming from and what you're working on. The courses cover AI video mastery, automation, sales frameworks, prompt engineering, GHL, and more. The AI space is evolving fast and I'm adding new stuff constantly so you have the most current training. Before you touch any course, watch the mindset videos. I know it sounds like something you'd skip. Don't. People who actually build stuff and get results watch these first. People who just collect courses and never execute skip them. The community part matters more than you think. Ask questions. Answer questions. Share what you're building. The people who engage here get way more out of it than the ones who lurk. That's just how it works. If you're looking to hire, get hired, or partner with someone, check the Partnerships section. Weekly Live Class (Code Brew): Every Thursday 8am - 9am PST. Bring your questions and 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. Simple as that.
9d •
Google just dropped Nano Banana 2!
Here's why this one matters. The speed gap is gone. Pro-level image models were slow. Fast models looked cheap. Nano Banana 2 runs at sub-500ms. Outputs up to 4K. Quality matches Pro. That tradeoff is over. Real-time web data. This model pulls live information during generation. It knows what your product looks like from search. It knows current design trends. It knows your competitor's branding. Previous models worked from frozen training data. This one works from the internet. Text rendering finally works. Every AI image model failed at text. Blurry. Misspelled. Unusable. Nano Banana 2 renders clean, readable text. Translates it across 8 languages automatically. Marketing teams no longer need a designer for every language variant. Character consistency at scale. Maintains 5 characters and 14 objects across outputs. This means brand mascots, spokespeople, product shots stay visually consistent across hundreds of assets. Previously required manual editing or custom LoRA training. Now it's native. Where the leverage is: Agencies charging $200-500 per localized ad. Nano Banana 2 does it in seconds. Product photographers charging $500-2,000 per shoot. Nano Banana 2 generates studio-quality from one reference image. Design teams with 48-hour turnaround on mockups. Nano Banana 2 iterates in minutes. The teams integrating this into their production workflow now will outpace everyone still outsourcing basic visual work. It's live in Gemini, Vertex AI, Adobe Firefly, and Figma. 141 countries. 8 languages. Comment "BANANA" to get leverage with it.
6d •
Free 1:1 Onboarding Call
Hey everyone - if you haven't booked your onboarding session with me yet, do that now. This is a one-time one-on-one call where we'll map out exactly what you're trying to build, what systems make sense for your situation, and how to get the most out of the community. I think most people skip this step and then wonder why they're not getting results. This call gives you a custom roadmap instead of just wandering through 80 modules hoping something sticks. Book here: https://crm.simpliscale.io/widget/bookings/aa-onboarding-with-nick Takes 30 minutes and it's included with your membership. See you on the call.
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6d •
Sonnet 4.6 vs Opus 4.6, Which one should you actually use?
Both dropped in February 2026. Here's the real breakdown. --- SONNET 4.6 SPECS Price: $3 / $15 per million tokens Speed: 40–60 tokens/second Max output: 64K tokens Context window: 1M tokens (beta) SWE-bench (coding): 79.6% OSWorld (computer use): 72.5% Office tasks: 1633 Elo Finance Agent: 63.3% --- OPUS 4.6 SPECS Price: $15 / $75 per million tokens Speed: 20–30 tokens/second Max output: 128K tokens Context window: 1M tokens SWE-bench (coding): 80.8% OSWorld (computer use): 72.7% Office tasks: 1606 Elo Finance Agent: 60.1% --- WHEN TO USE SONNET 4.6 Daily coding and iteration Content generation at scale Office productivity tasks Financial analysis High-volume API calls Speed-sensitive workflows Tool integrations and agents Sonnet actually beats Opus on office tasks and finance. 70% of developers preferred it over Sonnet 4.5. 59% preferred it over the previous flagship Opus 4.5. --- WHEN TO USE OPUS 4.6 Deep multi-step reasoning Large codebase refactoring Multi-agent coordination (Agent Teams) Ultra-long context retrieval (800K+ tokens) High-stakes analysis where failure is expensive Tasks requiring 128K output in one shot Opus still leads on Terminal-Bench and complex reasoning chains. --- SONNET DISADVANTAGES Smaller max output (64K vs 128K) Less reliable on ultra-long context retrieval Can drift on deeply chained reasoning tasks Not ideal when you need maximum accuracy on first attempt --- OPUS DISADVANTAGES 5x more expensive 2x slower Overkill for 80–90% of daily tasks Cost adds up fast at scale --- THE REAL ANSWER Start with Sonnet as your default. Escalate to Opus only when Sonnet isn't enough. Most teams find that escalation rarely happens. The 1.2% gap on coding benchmarks doesn't justify 5x the cost for most use cases. What are you using? Drop a comment with your use case and which model works better for you.
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8d •
Who is using OpenClaw? 🦞
I want to get a sense of who is using OpenClaw. So far I have built: - Dashboard for Monitoring OpenClaw’s Activities - Meta Ads Scraper - Meta Ads Ansalyzer and Copywriter - YouTube Thumbnail Generator - LinkedIn Posting Agent - Sales Call Analyzer Tool What use cases have you benefited from the most? Are you using it more professionally or personally? Want to get your thoughts and hear how you are using it.
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