Now that I have around ten ICM projects active and running everyday, it’s getting harder and harder to manage. Some accidentally were overlapping with other routine functions for example. Most, if not all of these are triggered by routines in Claude. With this many running it’s getting harder to manage all of it. I can get some real examples but I’m getting this feeling of being overwhelmed a lot lately, there’s so many things running and the more workflows you have running, the more issues pop up, problems to solve, adjustments, edits, etc. They all run from one master folder but more and more they seem to not be connected or working from the same playbook. It’s hard to explain. Most of my day now is reading long, dense blocks of text describing the results of that days run and issues from each routine, then spotting issues and correcting them, then moving to the next. It’s like spinning plates, one slows down so u go to spin that one and when it’s fixed, another one starts slowing down and the cycle repeats. I don’t have time to build anything new because it’s so much maintenance. Anyone else having this same issue? What’s the fix? I can provide examples or more context if needed. Any advice would be great:)

Tell us three things: 1. What you do (job, industry, student, career-changer, whatever) 2. What brought you to Clief Notes 3. One thing you're trying to figure out right now related to computing or AI I'll respond to every single one. And read each other's intros too because the person who's stuck on the same problem as you might already be in this thread. I'll go first I am Jake, I have been working in tech for 15 Years, building with Generative AI for 3 Years straight now! Excited to teach and learn! That's it. Simple, scannable, gives you data on who's joining and what they need, and keeps the feed clear for content that retains people past week one.

I’ve have multiple real world ai workflows and automations I’ve built that are already adopted and being used the company I work for. I used the ICM architecture skill for all them. The one thing it’s missing is some way to track the results. I want proof points, examples, metrics, dollar values, etc. I want a before and after to show how it actually impacted the business. Both for my performance review and my portfolio/resume. What I really want is an overarching rule that automatically tracks this stuff for any new project I create. Any advice, examples, or suggestions would be more than welcome.

Just started Jake’s courses and wanted to share my first real use case, because it worked way better than I expected. At my work (we’re a 3PL) I built a Claude routine that reads every client’s Slack channels each weekday morning and posts a sentiment digest for our account managers. Five clients a day, so every client gets a read about once a week. All the rules lived in one Notion page called “Process, Rules, Whatever.” lol. That page got long. Every time the routine screwed up, I added a rule. It skipped a billing channel and missed a credit we’d already issued, new rule. It marked three channels “not checked” because it ran out of room, new rule. It made up two Slack links (yes, made them up), new rule. Every run had to swallow the whole page: client exclusions, Slack IDs, formatting rules, the list goes on and on. So I installed the icm-architect skill and pointed it at the page. It barely had to ask me anything because the page already had the answers. What it built: - a 5 step pipeline: 00 feedback, 01 pick clients, 02 read every channel, 03 verify, 04 post - 8 rule files, and each rule lives in exactly one place - a folder for every client with their channels, account manager and digest history - each step loads only what it needs, about 3,000 tokens. The old way loaded the whole page every single run. My favorite part is step 02. It writes a checklist with one row per channel, and the run can’t post a client until every row says read. That was the exact mistake that kept happening. Now a file blocks it. Then we put it on GitHub, pointed the cloud routine at the repo and cut the Notion connection. Before going live I ran a test that only posts to my DMs. Five digests in about six and a half minutes, it pulled 27 client profiles from HubSpot along the way, and nobody on the team saw a thing. Last piece. Before every run it now reads the Slack channel for feedback from my boss and our two account managers. If someone says a digest got something wrong, it goes back to the source, fixes the rule or the record, and DMs me what changed and why (all automatically). So every correction makes the next run better.

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