I want to build a "universal" content outline/brief workflow. I am not an n8n developer nor capable of building/customizing this. After doing some research I got the idea from this YouTube video > https://www.youtube.com/watch?v=Jst48HrCRCw and want to implement some changes/updates to it. I put together a Google doc with all the changes/updates I want to implement to the workflow > https://docs.google.com/document/d/1X68NWerZEo1R0ARwUflFQ5vttge8bx9KRM9sfml8L_Y/edit?pli=1&tab=t.0 If anybody can provide insights/tips as to what guide or tutorials I need to watch or a forum post I need to read to learn how to implement these changes/updates will be deeply appreciated. I am open to starting and developing a collaboration relationship if needed. Thanks in advance!

@Mark Shcherbakov Is it possible to build an agentic workflow that evaluates or runs a CRO audit of a website or a preset of URLs? Of course, we would have to train this agent first. Thoughts?

If you’re in this community, you already see the power of AI—you’ve either started using it or are actively looking for ways to implement more automation. But taking AI to the next level isn’t always straightforward. I’ve seen this pattern with many businesses: they get their first AI workflows running, see amazing results, but then… they hit roadblocks. Scaling AI beyond the basics requires deeper integration, better data, and a clear strategy. So I’m curious - what’s the biggest challenge stopping you from scaling AI further? 1️⃣ Too many tools, not enough integration – Struggling to connect AI systems or automate across platforms. 2️⃣ AI isn’t delivering the expected results – Not getting the accuracy, efficiency, or impact you hoped for. 3️⃣ Lack of AI-skilled team members – Need more in-house expertise or better training for employees. 4️⃣ Time constraints & operational bottlenecks – No time to research, optimize, or expand AI solutions further. 5️⃣ Unclear strategy for scaling AI – Unsure what to automate next or how to get the most ROI from AI. 6️⃣ Data quality & accessibility issues – AI relies on good data, but messy, incomplete, or siloed data is causing problems. 7️⃣ AI costs keep increasing – Scaling AI is getting expensive due to computing, licensing, or consulting fees. Drop your vote & leave a comment if you have other challenges 🚀