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I am having a third round interview for a company where I will help adoption of AI into their dev teams. Talking about ICM is one of the reasons I believe they are interested. And I'm hoping to get some inpit from others in industry on how they are helping adopt AI and ICM into corporate environments. This shop in particular is heavily Microsoft based but they use a lot of python which is what I know. But what I am researching is how to properly make use of AI in these corporate environments making sure that AI has all the proper guardrails. The way I have worked on this so far is making sure that these AI agents have API access with limited permissions to the various sources that they are interacting with. But I'm wondering what other information that this community might have on other methods or ideologies to help with the AI adoption period. I will be working to help AI be adopted for developers as well as other teams such as sales. I'm looking for additional sources to investigate and learn about. Especially trying to make use of ICM practices in team environments. I have helped implement AI on developer teams but not as part of an AI focused team for the company as a whole., and this will be my first role being focused on that rather than a senior python developer.

A big part of the ICM method is, and I'm new here so correct any wrong assumptions, is that folders == agent flow. And it allows one agent process to flow naturally into other agent workflows. And I've been thinking about this but I just watched this video by Nate Jones and wanted to get your opinions on it and how it integrates into ICM. https://youtu.be/A4zMyjkL0Dc?is=nPthWUckYYzzIgQY I know the basics map well toba folders workflow structure. But how is this being handled for everyone when multiple sets of workflow folders need to callnornpass information to another one, or even multiple. He hints at one example about planning trips, checking weather, flight info, and more. Some of these loops could easily be called by many other workflows. So when using ICM how are you managing this? Automated calls and starting loops. CRON is an easy answer for answer for basic timed runs. But what about more complex setups. To me this seems like where I would use orchestration managent tools like linear or n8n using recursive workflows. I was hoping to hear how others have solved this while also using the ICM system. Or showing any examples. I've been trying to build some ideas to help manage my own tasks as well and really want to get started with this.

What does everyone use to create markdown files with? I use LibreWolf as my text software and it doesn't. I know you can hand create in Notepad but I know there has to be a better option. I noticed that GPT seems to balk sometimes. I have it output the language for review, and then have it generate the md file. Last time I did, it mentioned that it doesn't exactly copy the review copy, just uses a summary of it. That didn't make much sense. Suggestions please.

There is a method of using Chinese models like: Qwen, MiniMax, Zai, Moonshot, etc. That are hosted in the US on the latest NVIDIA B300 datacenter GPUs, where your data stays private and is never trained on. This is where Ollama, the self hosted go to source for local models comes in. Ollama offers a selection of cloud based models. Simply append your model call with :cloud https://ollama.com/search?c=cloud&o=newest What's your favorite model?