Hi guys, I'm new here. I introduced myself a little bit ago but I build crazy custom cars. I own Big Shot Rides in Coconut Creek, Florida, and I'm learning AI and file structures through this community. I have a lot of open projects and I would like to restructure them correctly. I learn by visually seeing how things are built, hence why I build cars. I'm wondering. I'm sure many others have done this but I tried looking it up. I didn't see any responses to this question or anything listed. I had clude read Jake's ideology paperwork amd the course that explains the ICM to Claude and I started a new code session with claude using ICM method it learned, and teach me along the way? Is that a good idea or a bad idea? What do you guys think? I was going to have it start going through my other projects and see if I can get my system organized better and explain to me along the way the reasoning it classified the information and routed it to the ICM file structure it created.

I've noticed something lately — there's this weird barrier when I'm reading AI-generated text. I just don't want to read it. But if it's human-written? No problem. It's not that the AI is giving me bad information. It's more like... the writing style itself creates friction. Too polished, too formal, or just predictable in a way my brain picks up on. I'm curious if anyone else is running into this, especially if you're using AI for client work, internal docs, or anything people actually have to read. And if you've found ways to fix it — whether that's prompt tricks, editing workflows, or just accepting that AI is better for structure than final copy — I'd love to hear it.

Serious question for everyone running Claude, ChatGPT, AI agents, or automated workflows: **What if I could help you reduce your token consumption by 30–70% without sacrificing output quality or productivity?** Not by simply using fewer features, but by analyzing and optimizing your actual system architecture, agent orchestration, context management, model routing, and workflows. I'm developing something called **THE GERMAN STANDARD — German Agentic Systems Assurance (GASA)**. A structured technical audit and optimization framework based on established engineering principles and aligned with relevant international ISO standards. The idea is simple: 1. Audit your existing AI setup. 2. Identify inefficiencies, bottlenecks, and unnecessary token consumption. 3. Establish a measurable performance baseline. 4. Optimize your system. 5. Run identical benchmark tasks before and after. 6. Document the actual savings and verify that quality hans't declined. The 30–70% range is a proposed optimization target, not a guaranteed result. Actual savings would depend on your setup and would need to be demonstrated. **Now here's my question:** If I could demonstrate a measurable 30–70% reduction in token consumption on your actual workloads, with comparable results, what would that be worth to you? Would you prefer a one-time audit fee, a complete optimization package, or a performance-based model where I receive a percentage of the money you actually save? I'm not asking what you'd pay for another AI course. **I'm asking what you'd pay for a measurable improvement to a system you're already spending money on.** Would love to hear actual numbers.

I've had a couple of my content creator clients reach out using ICM as our default staging architecture and process. Does anybody have an existing working/functional pipeline and which tools are you using? I'd love to know what others are doing before I try to build this myself. Mind you we don't want to be building video content out of nothing. We want to be editing video so that's the clarification. I see a lot of posts and a lot of content around building AI videos and I really don't want to do that necessarily in this use case. I want to manipulate our existing video files. We started looking at connecting to CapCut via a CapCut extension/MCP. That's not really supported by CapCut but is community-supported. Anyway just wondering whatever others are doing before I go headfirst into trying to solve this problem myself. I appreciate any and all feedback, thoughts, and considerations.

I've been asked to rebuild a non-profit's website with Claude Code. The current site runs on Drupal (swiss hosting): multilingual, several hundred pages. The plan is to cut the content by a quarter to a third, rebuild in WordPress with the Avada page builder (the client already works in it), and hand it over so their communications team can edit it on their own. An existing job platform and a chatbot need to be integrated. The timeline is tight, with most of the work in December. I'm comfortable with the content and structure side and with directing Claude Code in an ICM-style folder setup. I'm less sure about the WordPress side, and I'm honestly not yet sure I should take this on. Has anyone done something similar? I'd be glad to hear: - How well does Claude Code work with a page builder like Avada or Elementor, compared with a block theme? - How did you migrate content: WP-CLI, REST API, the MCP adapter? - How did you split hosting, updates and maintenance after handover? - What took longer than you expected? I'm really temptaded to to take this job. Because it is also for a good cause. budget is 15k (CHF) - most of it needs to be spend in 2026 and launch of the website is planned for April/May 2027. Grateful for any feedback/advice. Cheers, Till