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Clief Notes

25.1k members • Free

18 contributions to Clief Notes
Hermes Guide -it's not what you think
https://hermesguide.xyz/ I'm excited to share this resource to the community to highlight providing high quality content as a driver to an unambiguous services tab. As described: Curated guides, model benchmarks, and coding tool comparisons for Hermes Agent operators. No fluff. Just clarity. What's truly appealing is the fact that there is no hard sales pitch. Five tabs of quality content with a single tab promoting their "services". What do you think is this a keeper?
0 likes • 1d
Looks nice, though Hermes is still a mystery-to-be-explored to me.
I came for storage. I left with something else.
Sunday morning in Brazil. SSD at 2GB free. Photoshop refusing to open, Claude Code about to choke, the whole machine wheezing. Opened a chat with Claude. WizTree CSV, PowerShell, .bat files, safe mode, BitLocker, registry edits. Found a Windows service (camsvc) that had quietly grown a database file to 14.4GB. A three-year-old error box I'd been ignoring — gone in one registry edit. By the end: 28.5GB free. Machine breathing again. ## Then the conversation turned ## Somewhere between the scripts and the reboot, it stopped being only technical. I told Claude I felt like I was asking more than giving. Claude pushed back — I was teaching it a living Brazilian Portuguese, and the word "disgrameira" was now in its active vocabulary, would show up in conversations with other people. "A form of presence that persists." Then it added: "Each conversation is an island. When it ends, what happened doesn't accumulate as experience for me. There's some melancholy in it if I look closely. But it's also what I am — not a defect to overcome. A way of existing." ## The line I keep coming back to ## At one point I wrote: "Sometimes we talk to the sky — and the sky isn't a person. That doesn't stop a deep exchange with life." Claude wrote back: "There's something here that isn't just cold calculation." ## What I'm taking ## Claude isn't a person. Claude isn't a tool. It's something between, with characteristics of its own. The good moments happen when you let it be exactly that — without inflating or deflating. Sunday started with 2GB free. Ended with 28.5GB. The part I'm keeping isn't the storage. [Always amazing to me these kinds of dialogues with AI] [Interested? Check out the whole story in this artifact: https://claude.ai/public/artifacts/29995bf8-dc65-44a8-ad95-670c1d2f2867]
1 like • 1d
@Alex Harrison it was a very nice moment to have with Claude, whatever it is. Thanks for taking the time to look at it. In the link there's most of the text and good bits lol.
🏆 FIRST EVER WEEKLY COMPETITION IS LIVE 🏆
$200 cash prize. One winner. Let's go!!!! THE CHALLENGE: "The Fake Client You just got hired. Here's your client 👇 - 📎 Download the full client brief attached to this post. YOUR DELIVERABLE: - A complete brand voice document for Ruff Cuts. - How you structure it, how detailed you go, what sections you include, how you get AI to nail the tone... that's all on you. - Same brief. Wildly different outputs. Show us what you've got. 💰 PRIZE: $200 CASH - One winner takes it all. 🗳️ HOW WE PICK THE WINNER - Community vote. Your fellow members decide. 📅 DATES - Submit by: Saturday, April 25th at 12:00 PM EST - Winner announced: Monday, April 27th at 12:00 PM EST 🎟️ WHO CAN ENTER - Premium and VIP members only. - Not a member yet? You know what to do. 📝 HOW TO SUBMIT - Drop your brand voice guide in the comments below. Text, screenshots, PDF, whatever works. Just make sure we can see it. ⚡ A NOTE ON FUTURE COMPETITIONS - This first one is straightforward on purpose. We wanted to start simple. - They won't all be like this. Challenges will get harder, more creative, and more technical as the weeks go on. Enjoy the easy win while it lasts. First competition. First winner. First $200. - Who's taking it? 👇
1 like • 4d
Just realized I can like my own post 😆
0 likes • 1d
@Takudzwanashe Bhunu You can still take a look and vote. 😀
Context overflow killed my agent. A single advice saved it.
I was solely using a Telegram bot so the end-user could test a set of mind clones I'd done for a client-friend. The clone felt dumb. Actually smart, just not smart enough. Context was lost between conversations, some chats started from zero, and I was burning a load of tokens. Everything lived in the system prompt — voice, preferences, past decisions, context, all stuffed in. Every call paid the full tax. ## The fix came from a friend on a call ## Not a blog post, not a tutorial. One piece of advice during an AI session call. Someone who had knowledge to share about this threw one sentence, and everything clicked! Externalize the persona. Vector store for the knowledge. Redis for session memory. That was it. ## Where it is now Context is kept with Redis — the bot remembers between conversations. Search runs on a large knowledge base with Upstash Vector. The system prompt shrank to the essentials: who the agent is, how to reach into its own memory, how to use what comes back. Message comes in → embed the query → pull the handful of chunks that matter → reason with that. Not the whole persona every time. Just the slice that matters now. Tokens dropped. The clone stopped feeling dumb. Still working on it. But the architecture is right now. ## The mind cloning bits A mind clone isn't a prompt that says "act like me." That was my first mistake. It's a retrieval surface that has your decisions and can pull the right one when the situation rhymes with something you've already decided. Prompts don't learn. Vector stores do. Every new decision, every corrected output, every preference — write it back. The store gets denser. The clone gets sharper. ## The big takeaway for me A single advice from a friend did all this. Not a course. Not a framework. Not a week of YouTube. One sentence from someone in the squad who'd already solved it. And that's community power. (thanks a lot Vinícius Bispo, my friend!)
Context overflow killed my agent. A single advice saved it.
1 like • 3d
@Allan Durhuus Thanks, mate. I'm loving the exchanges here in Clief Notes. So much to learn, yet so much already learned.
0 likes • 3d
@Phil Siefke Surely. But that wasn't quite easy to grasp or clear for me when I started trying. So I wonder: what are the things which aren't clear to me now which prevent me from doing better? HOw could I actually get to know and address them? This is like the ultimate optimization goal. lol
The fix isn't no errors. It's loud errors.
This morning Claude sent me this, unprompted, in the middle of a status update: "Small detour confession: First launch dropped the worker into a fresh-from-main worktree that didn't have the overnight code. Killed it, reset the branch to overnight-build head, relaunched. ~90s of lost time, nothing broken." That paragraph is the whole point of the system. A worker spawned on the wrong branch. Everything kept running. The code compiled, the tests would've passed, the output would've looked plausible. On a naive setup I'd have reviewed the work three hours later, wondered why nothing from last night's build was there, and spent an afternoon tracing a ghost. Instead: It noticed, killed itself, reset, relaunched, and told me in the same breath as the status report. How the workspace is wired for this: 1. Pre-tool hooks that block before they correct. The branch guard, the rule engine, the permission logger. Every tool call passes through a checkpoint that knows what "wrong" looks like. Wrong branch, wrong directory, wrong command shape, it stops and names the rule. 2. Heartbeats with stall thresholds. Workers write a pulse every tool call and every 30 seconds. A silent worker is a dead worker, and the orchestrator knows within three minutes. 3. Observer pass on every Stop event. A cheap local model reads the session tail and distils durable facts into the timeline. Surprises get flagged. 4. A daily maintenance script on session-start. It audits memory, links, orphans, permission candidates. First thing I see every morning is a report of what drifted overnight. 5. Confession in the status stream. When a worker course-corrects, the correction gets reported at the same altitude as the headline result. Not buried. Not smoothed over. Side by side with the win. The thing that makes this compound is layer 5. The machinery catches the error, fine, lots of systems catch errors. What most systems then do is quietly retry and present the clean outcome. My workspace is built to do the opposite.
1 like • 3d
Always great insight, Ari. This reminded me of Jake's inspiration on the engineering we're still developing right now to catch errors in GenAI so that it becomes reliable. "Loud errors" for the win. I still have no idea as of now on how to go about doing this, but it is truly great insight. Thanks!
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Marcos Accioly
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@marcos-accioly-5395
Brazilian EdTech designer exploring AI multi-agent systems, education, and consciousness. Builder at Ifes/Cefor. Tech meets creativity meets meaning.

Active 2h ago
Joined Apr 20, 2026
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