Is there a prompt that will walk you though making a project folder? Build out the agent context and example MD file maybe help walk though the steps you take to start a project. Not really looking for a silver bullet more or less something to help with the blank canvas problem. I have not finished all the classes so if it’s alrdy a thing I guess I’ll find it as I go though more modules.

Trying to sanity check how multi-step workflows are actually handled in production. The way I’m currently thinking about it: When building, it feels very agentic (using markdown like claude.md, rooms, skills, etc. to structure everything and have the AI help design the system). But in production, I’m trying to understand how control actually flows across multiple steps. Is it more like this: Option A (AI-led flow): - Trigger fires - Script collects data + relevant markdown - AI is called - AI responds and decides the next step - AI continues task-to-task from there OR Option B (Script-orchestrated flow): - Trigger fires - Script collects data + relevant markdown - AI is called for a specific task - AI returns output - Script takes that output, decides next step - Script loads new context/markdown - Script calls AI again (and this repeats for each step) So basically: 👉 Is the AI “driving” the workflow once triggered 👉 Or are scripts orchestrating each step and calling AI as needed Feels like it might be more B or somewhere in the middle, but not sure what’s actually best practice. Would love to know how others are structuring this in real systems.

I've been using Claude Code and other such tools for a while now and one of the most impactful customizations I've made is telling them how I think and how to communicate with me. For example, I put simple instructions in ~/.claude/CLAUDE.md that tell Claude that I want it to always lead with the conclusion then explain, that I'm prone to spending too long perfecting before shipping, and to be more aggressive in critiquing. That context will be superseded by any that contradicts it at the project level, but it means every new project I start has foundational context on how to work with and help me as the human. I went through a process of asking Claude questions about what it knew about me and how I work, how I worked with it, etc. across many projects in Claude Desktop and Code, ran the same prompt with ChatGPT and Gemini (I use all three pretty extensively), then aggregated them and aggressively pruned to get a final instruction set based on the most accurate mirror of my actual usage I could manage. That's probably over the top, but was a fun experiment. What if any personalization do you use, as in adjusting the tools to work better with you as the meat bag--err--human at the keyboard?

I’m heavily focused on data sovereignty for my future clients, but I don’t currently have the hardware to run powerful AI models locally. • For those of you using cloud/hosted AI, do you have specific scripts or workflows to scrub sensitive/PII data before sending it to servers? • Or, at what point do you personally draw the line on what is "safe" to send to a cloud provider versus what strictly needs to stay on-prem? Any insights or "lessons learned" would be massively appreciated!

Hey everyone, I’m currently building out the infrastructure for my bookkeeping firm, and I’ve hit specific roadblock where I’d love to hear how you handle things: The "Perfectionist" Loop (Idea Paralysis) I’m struggling to find the line between "planning for success" and "just getting started." I find myself endlessly refining workflows and systems before I actually pull the trigger on using them. • How do you decide when a system is "good enough" to launch? • What’s your approach to transitioning from building to operating?