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Clief Notes

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AI Automation Agency Hub

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35 contributions to Clief Notes
Clief Notes AI Shout
A few days in. Starting to see where the Clief Notes AI is actually becoming useful. Some of you are using it to figure out where to start. Others are asking specific questions and getting pointed back to lessons or drops they didn’t even know existed. And some are basically using it as search: “Have we covered this before?” That last one alone saves a lot of scrolling. @Anthony Brady shared a really good example of how he’s been using it. He said the agent has been helping him find the right lessons, figure out where to go next, and actually apply the material to what he’s building. He’s even been pushing it with harder questions, and when it doesn’t know something, it tells him instead of just making something up. What I really liked was how he described using the tools together: The agent helps him navigate. NotebookLM helps him go deeper. And Decster keeps him moving through the course, completing assignments, and staying active in the community. That’s exactly what we want this to become. Not another AI tool you open once and forget about. Something that actually helps you use everything already inside Clief Notes and keep moving forward. We’ve also caught a few questions where the agent could’ve pointed somewhere better. Keep sending those. The more you use it, the better we can make the experience. This thing should get more useful as we see how you actually use it. If you haven’t tried it yet, start simple. Ask it the next question you would normally post in the community. Have you tried it already? If not, comment “Navigator” and I’ll send you access to it.
5 likes • 2d
Jake I noticed that the afternoon tea recordings from the recent sessions haven’t been posted. Is this on purpose? 🥲
0 likes • 1d
@Jake Van Clief Thanks 🙏🫶
Don't fall victim to AI reviewing itself - It cannot think for itself
A model reviewing its own work is not a review. It is the same judgement run twice, and it agrees with itself both times. - Maker and checker are separate passes - whatever produced the work does not get to grade it. - Fresh context, not just a fresh prompt - a different chat, ideally a different model, carrying none of the reasoning that built the thing. - A number it cannot argue with - a test, a diff, a count. Prose review on its own will find reasons to approve. The failure mode is not that a model lies to you. It is that it is still holding every assumption that produced the work, so asking whether the work is good just reasons forward from those assumptions and lands where it landed the first time. I have had this go wrong with real stakes on it. Folder bloat that survived an adversarial review and two further passes on the strongest model I had. A multi-repo restructure proposed off one of three files the model had actually read. A Git migration recommended on the grounds that we had a backup, which we had made ourselves an hour earlier. Every one of those cleared a self-check first. What changed it was making the check structural rather than something I remember to do. In my YouTube workspace no finding enters the register until it has been surfaced to me at the close of the query that produced it, so the system proposes a belief and a human commits it. In phronesis the distillation pass runs behind an eval gate allowed to reject the commit outright, so the pass that writes the profile is never the pass that decides the profile is good. Metrics carry the other half. A verdict written in prose can always be argued into place, a count or a failing test cannot - if the only evidence something worked is a paragraph the model wrote about its own output, there is no evidence. Where has a self-review waved something through that it should have caught, and what do you actually use as the outside check - a second model, a fresh chat, a test, someone else in here? More interested in the practical setups than the principle.
When creating repos, I will make sure to train the model on test data and then apply that model in a new chat to data it hasn't seen yet to see whether it performs equally well (both according to my judgment as well as another AI judge). I will sometimes also delete the references and have another chat evaluate what was previously evaluated to see whether the output is reliable/consistent.
0 likes • 1d
@Alex Brown yeah no worries. It’s quite difficult to understand if you never had any machine learning or advanced statistics courses. But hey, that’s what AI is for. It can help you figure out the important teachings from ML and stats courses relevant to your case🤣
The Clief Notes AI is live 📣
It’s live. Starting today, everyone in Clief Notes has access to the new Clief Notes AI. The easiest way to use it? Don’t overthink it. Ask it the question you would normally ask me. “Where should I start?” “What should I focus on next?” “Where did you talk about [topic]?” It’ll use what’s already inside Clief Notes to help answer you and point you toward the right lesson or resource when there’s something worth going deeper on. The goal isn’t to give you another AI tool to play with. It’s to make everything already inside this community easier to actually use. If you want Access to it Comment "READY" and we'll send you access to it!
0 likes • 3d
READY
What happened to Claude?
Anyone else frustrated with Claude lately? Opus 5 used to be so good, but now it's just one big mess. Am I tripping?
Have You Talked to the Clief Notes Agent Yet?
We officially launched the new Clief Notes Agent, and I wanted to check in with you. Have you had a chance to talk to it yet? If you have, I’d love to hear how it went. And if you’ve run into any questions, confusion, or issues getting started, drop them in the comments below. The goal is to make it easier to find what you need, know what to focus on next, and get more out of everything already inside Clief Notes. So, How’s your experience been so far?
Does anyone know where I can find it?
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Nika Marsagischvili
5
276 points to level up
@nika-marsagischvili-7352
Psychology graduate at UvA & AI architect

Active 7h ago
Joined May 7, 2026
Utrecht
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