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First post of 2026.
I'm no longer an n8n expert. I'm an AI Systems Expert. Why? Because I stopped selling tools and started selling outcomes. The video shows n8n + ElevenLabs integration. Basic? Yes. But it's the foundation. 2026 isn't about AI agents anymore. It's about AI SYSTEMS. Full workflows. Real ROI. Actual business transformation. More in-depth systems dropping this year. Follow to see what's next. What's the ONE automation outcome you're chasing in 2026? Drop it below 👇 #AIAutomation #N8N #ElevenLabs #AISystems #WorkflowAutomation #AI2026
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First post of 2026.
The Smart AI Tools Evaluation Framework
Most people “choose an AI tool” the same way they pick a new app. Pretty UI ✅ Cool demo ✅ A friend said it’s amazing ✅ Then 3 weeks later… outputs are inconsistent security is a question mark nobody knows who owns the generated content integration turns into a duct-tape project leadership asks “is this compliant?” and everything stalls AI is everywhere. And every tool claims it’s “enterprise-ready.” But the real risk isn’t picking the wrong tool. It’s picking the right tool… for the wrong reasons. Because “it works in a demo” is not the same as “it works in production.” So here’s the evaluation framework I use (and it’s in the image): 1️⃣ Core functionality + performance Accuracy, reliability, data quality, scalability 2️⃣ Security + data privacy Data handling, prompt/model security, privacy compliance 3️⃣ Usability + integration Ease of use, API/workflow integration, support + training 4️⃣ Ethical + responsible use Bias/fairness, transparency, accountability And the 3 questions people forget: ✅ Cost + licensing ✅ IP + ownership ✅ Compliance standards (SOC 2, ISO, etc.) When you score tools across these buckets, the “best” AI tool usually changes. Sometimes the flashy one drops to the bottom. Sometimes the boring one becomes the obvious winner. If you’re buying, building, or recommending AI in 2026: Stop asking: “What’s the coolest model?” Start asking: “Can we trust, secure, integrate, and govern it?”
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The Smart AI Tools Evaluation Framework
The seven rules of vibe coding
If you’re vibe coding and your app keeps breaking, you don’t need more prompts. You need 7 rules. ✅ Rule 1: Start with ONE sentence What the app does, who it’s for, and what “done” means. ✅ Rule 2: Ask for a plan before code “Give me the steps, file structure, and data model first.” ✅ Rule 3: Build the smallest working version One screen. One action. One result. Then expand. ✅ Rule 4: Lock decisions early Stack, routes, database, auth. Changing these mid-build is how projects die. ✅ Rule 5: Give constraints, not vibes Examples: TypeScript only. No new libraries. Validate inputs. Keep functions pure. ✅ Rule 6: Test as you go After every change: run it, click it, break it. Don’t pile up edits. ✅ Rule 7: When it bugs out, report like an engineer Not “it doesn’t work.” Say: error + what you expected + what happened + the file. Vibe coding works when you drive and the AI copilots. What tools do you currently use for vibe coding?
Happy New Year 🎉
In 2026, the people who win won’t be the ones who “use AI.” They’ll be the ones who build leverage with it. Leverage looks like: ✅ Automating repetitive work ✅ Turning knowledge into systems ✅ Creating assets that compound (content, workflows, products, income streams) My focus this year: sharing what’s working, what’s changing, and how to build real-world workflows that actually save time and create momentum and training 1M people to build leverage with AI. Wishing you clarity, courage, and consistency in 2026. What’s one thing you’re building this year?
Happy New Year 🎉
Merry Christmas!!
Wishing you the best this season and the new year to come!
Merry Christmas!!
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