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156 contributions to Clief Notes
Local model runners. What hardware are you using?
I don't have good hardware right now for local model running. I am thinking about setting up an actual good box for this purpose. I will probably end up getting a graphics card and putting on some older hardware. but I also hear good things about some other setups. (Mac mini, etc.) want to get people's thoughts
macs are good for small models unless you can get a Mac Studio ultra whatever. I’m also using an gmk evo x2- 96gb
The missing layer behind better AI writing?
Everyone wants AI to “sound like me.” So they keep fixing outputs one prompt at a time. More warm. More direct. Less corporate. More founder voice. But the model is guessing because the real *source layer* is missing. A simple fix: Separate Identity from Voice. Your identity profile tells the systm who or what must not be distorted: principles, judgment patterns, boundaries, points of view, public-use limits. Your voice profile tells the system how that identity behaves in language: tone, pacing, examples, vocabulary, anti-patterns, channel shifts. - Identity is not copy... - Voice is not strategy... - One draft is not the source of truth. First dfine what must stay true, then define how it should sound. lastly, generate the post, email, page, script, or deliverable. If you define *identity* and *voice* separately, you stop prompting for tone every time and start building a reusable writing system. Curious how others in Clief Notes are handling this: Do you define identity and voice separately, or do you keep them in one brand/persona file?
I had mine analyze all of my transcripts from whisperflow and other dictation tools and build a voice profile out of that
@Alex Brown yeah because it just had more training data . Not was certainly easy for me lol
What's one AI habit that's saved you the most time?
AI tools seem to evolve every week. It's easy to get caught up trying every new model, app, or feature that gets released. But I have found that the biggest improvements usually don't come from constantly switching tools they come from building simple habits and workflows that you use consistently. For example, it could be: - Using AI to organize your notes. - Creating reusable prompts. - Automating repetitive tasks. - Summarizing meetings or research. - Brainstorming ideas before starting a project. What's one AI habit, workflow, or prompt you use regularly that genuinely saves you time? Not necessarily the most advanced just something practical that has made your work a little easier. I think a thread of simple, proven ideas could end up being more valuable than another list of "must-try" AI tools.
What's one AI habit that's saved you the most time?
Build durable tools hooks scripts out of repeating requests
🔥 Follow-up: Fable found the leaks. I fixed them. 48 hours later, I re-measured... and one of them is already growing back. 📏
📝Note: This post is not about ICM, it's about tuning the AI systems you are using with ICM, if you're new to ICM, you can start Here: https://www.skool.com/cliefnotes/welcome-to-clief-notes-heres-where-to-start-2?p=f8f85a09 @Mira Bradshaw also made a great post to get you started! https://www.skool.com/cliefnotes/clief-notes-gems-for-starting-in-icm?p=0385cbf9 Let's dive into the results just 48 hours later! 👇 Two days ago, I posted about pointing Fable at my own environment and finding out where my tokens were really going. 📝If you need to catch up with my first post: https://www.skool.com/cliefnotes/i-just-spent-the-last-few-hours-asking-fable-to-make-itself-cheaper?p=cc666986 A lot of you went hunting in your own setups after that post (and found GOLD 👏). So, here's the part two: what happened AFTER the audit. 📌 TL;DR - The fixes shipped, the savings are real, and the most important lesson came from re-measuring two days later: optimization is not an event. Drift never sleeps. The audit is worth nothing without a cadence behind it. 🧾 First, the receipts. Every fix from the audit is now live: ✅ The file that lied. My startup menu file claimed "450 tokens" in its own header and was actually ~7,000. It got rebuilt down to ~750, and the detail it was hoarding moved to where it already lived anyway (each project's own handoff file). 💡One fact, one place, and everything else that needs it points to it by design. ✅ The silent tax. My safety hook was injecting ~800 tokens into EVERY prompt, repeating rules that already load once at session start. It's now ~85 tokens: a short pointer to the rules instead of a full copy of them. 💡The enforcement never lived in the repetition; it lives in the hooks that physically block bad actions. Cut the prose, keep the mechanism. That one saves on every prompt, in every session, forever.
🔥 Follow-up: Fable found the leaks. I fixed them. 48 hours later, I re-measured... and one of them is already growing back. 📏
niiiceeeeeee excited about the local set up
@Bas Rosario Lmk I’m available this weekend for calls once u have lm studio up and running reliably I can show you how to have it work as an inference server so you can use it from other machines / phone etc
Fable… let’s see if this works
My weekly limits roll over in about 9 hours. I have a bunch of Fable tokens left that I do not want to use. But I’m also at ~96% of my 5 hour usage window and I need to go to bed. Doesn’t reset for an hour. So, I did what anyone would do, I asked Fable what my options are. Apparently it has a timer. It has set one for 80 minutes and that will wake it so it can fire what we have queued up… I guess I’ll find out what does or doesn’t happen to that branch come morning…!!! Fable has immense confidence that all the results will be ready for me to review over a coffee… ☕️
I’d love to hear if this worked for you. Mine has not been successful. And only after I ping it, it comes back and is like: “ oh yes everything was done like an hour ago …”
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Simon Gonzalez De Cruz
6
1,431points to level up
@simon-gonzalez-de-cruz-3638
Perpetual learner and builder.

Active 1d ago
Joined Mar 10, 2026
INTP
Long Beach, CA
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