We have spent the last few years teaching AI how to answer questions. Now the conversation is shifting toward something much more interesting What if AI could actually complete the workflow? Instead of: Write me an email. You could have a system that Finds the relevant information → decides what needs to be done → drafts the email → checks it against your rules → updates the right system → asks for approval when necessary → moves to the next task. That sounds powerful. But building something like this reliably is much harder than connecting a few AI tools. A useful agent needs more than intelligence. It needs context, access to the right information, clear instructions, memory, tool permissions, error handling, verification, and boundaries around what it is allowed to do. And that raises an important question: Where should we actually trust AI to act autonomously and where should a human still be in the loop? For example: 🟢 Low-risk: research, organizing information, summarizing, drafting 🟡 Medium-risk: updating databases, sending internal messages, making recommendations 🔴 High-risk: financial decisions, deleting important data, sending sensitive information, making decisions that directly affect customers The goal probably isn't to create an AI that does everything. It’s to design a system where AI handles the right parts of a workflow while humans remain responsible for the decisions that actually matter. So I’d love to brainstorm with the group What is ONE real workflow in your work or business that you would trust an AI agent to handle from start to finish?

So I finally got brave and uploaded an ICM template to Eduba to work on, but the bot won't respond to anything I ask it to do. What am I doing wrong? It is the Faith Life Management System (a 90-day family planner). I'm terrible at naming things. @Jake Van Clief @Matthew Creamer

Hi everyone, I just read a report on AI adoption in businesses from 2025. I am sure the content is not a huge surprise considering that you're a member of this community, but it remains an interesting read because it makes you realize how large this gap actually is. https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf

Am I missing something? I can't find the zip file that is supposed to be attached. I'm sure it's there somewhere. Can someone point me to it?

Every build has to have a manual for operation built alongside it. I’m shipping enough stuff that a plain language ‘how to use’ this document is now standard for me. Each draft of something needs to be understood by the client. A simple thing that is painfully obvious in retrospect.