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4 contributions to Clief Notes
ur not lazy enough and it shows: why prompting is bbg
if you know what slash commands are this post isnt for you --- when i say "you're not lazy enough" i mean this lovingly, baby bird you're doing unpaid labor community service for anthropics repeating a prompt is proof you found something reusable so use it. slash commands are how you get good by being lazy once you get a taste of what slash commands can do you're gonna go full humpback chunk on them, i promise. WHATS A SLASH COMMAND? - a command you save in your docs/ folder that you can call at anytime. - anytime you notice yourself prompting the same thing to an agent, copy it to docs/ and name it something short-n-sweet - use it WHEN TO USE A SLASH COMMAND? YOU KEEP MAKING BUDDY WEAR THE SAME HAT You keep giving him an _identity_ like "you're a workspace auditor with..." then keep re-asking him to look for layer confusion, bloated docs, stale shit any rules u thought u added but didnt - all that stuff. Now it's /audit-context YOU KEEP ASKING LOOK BEFORE TOUCH if you keep saying "look around first before touching anything." "find the root docs, context files, major folders, active work, stable refs, and weird routing instructions" blah blah blah blah save ur fingers papa that's /map and move on. YOU KEEP SAYING DO NOT EDIT YET if your always sayin shit like "don't edit yet, just look, this is a read task only" you just need to send your little buddy on a /recon mission. u needed some space after the fifteenth shit iteration, we've all been there king. YOU KEEP ASKING FOR THE SAME PLAN if you keep asking "what should we change and why?" /propose-cleanup make it explain the smallest, safest fix, what files would change, what it prevents, and what it absolutely will not touch. this is when you need a clipboard instead of a chainsaw YOU KEEP REPEATING THE SAME PERMISSION RULES if you have to tell him over and over to only touch things you approve, just make it /apply-approved, outline the exact plan, what to touch and not touch, to stop if its ambiguous, report every file touch.
2 likes • 3d
@Yucky Yuckyyyy I put your advice to use and built a custom skill into my Claude desktop app to test! I’ve been writing a lot of different things with Claude and keep running a polish & authenticity review, so now instead of typing out the prompt, the skill just runs on all writing drafts. Next will be a whole file system skill/identity like we just built in the comp. 3 project. Appreciate the push!
0 likes • 3d
@Beatrice Olsson The AI for writing process was definitely something that frustrated me in the past! I'm very conscious of everything I contribute to online. My goal is to systemize any workflows that already use AI in some way and how I communicate is definitely the tip of the spear. I'm focused on learning and solving my own problems. If I can do that and prove out my concepts then I could do the same for others later. I started a substack and posting on LinkedIN in order to share everything I'm learning. The polish/authenticity workflow, helps me save time, maintain consistency across outputs and continuity of the content. I compiled all the recurring edits, callouts, tone shifts and communication style I always made and put it into the skill. for example, some of the criteria flagged in the last use of the skill: - No em dashes - No AI writing signals - No hot takes - No unproven claims - No strategic disclosure - Grounded in real validation - Operator field notes tone These things really affect my "brand" online as cringe as it feels.
Memory management is the next frontier!
Most people are still treating LLMs like goldfish with infinite context windows. But the real power comes when you give your AI systems persistent, structured, and reliable memory. I’ve been diving deep into three distinct approaches: - Open Brain (OB1) — the personal exocortex - Poor Man’s Memory (PMM) — the ultra-lightweight, git-native path @Millenial Cat - Cognee — the structured graph + vector layer for serious agents Each represents a completely different philosophy for how we should capture, store, and retrieve context. Full breakdown dropping soon: architecture comparisons, strengths & tradeoffs, how they actually fit together in a real stack, and when I’d choose one over the others. If you’re building any kind of long-term AI workflow, personal knowledge system, or agent setup — this one’s for you.What’s your current memory strategy? Drop it below
Memory management is the next frontier!
2 likes • 3d
Here’s what I’ve been tinkering with, not an engineer but just started reviewing what’s out there and putting things together: 5-layer memory system 1. CORTEX Postgres + pgvector Structured state storage: tasks, financials, contacts, calendar, anything schema-based. 2. PALACE MemPalace (ChromaDB + SQLite knowledge graph) Long-term memory layer. 18,000+ memory drawers from 744 files with 96.6% recall on LongMemEval. Stores conversations, decisions, and historical context. 3. CORPUS LightRAG + RAG-Anything Graph + vector retrieval for document intelligence. 169 files → 960 chunks. This solved a major issue: the system had documents but couldn’t actually connect questions to the right knowledge. 4. GRAPH Graphify + Claude subagent code graphs Lets agents navigate codebases structurally instead of reading raw files. 5. INGEST n8n ingestion pipelines Continuously pulls in Gmail, Calendar, meeting notes, SEO data, Obsidian, etc. The system updates itself in the background.
🏆 WEEKLY COMP #3: THE SPECIALIST 🏆
💰 $325 CASH PRIZE 💰 That's a full year of Premium. Win this and your membership pays for itself. 📋 THE CHALLENGE You just got hired again. Different client this time. Meet Sarah, a freelance copywriter who's drowning in context-switching. 📎 Download the full client brief attached to this post. Short version: She works with three types of clients (SaaS founders, ecommerce brands, local service businesses) and starts from scratch every project. She doesn't need another tool. She needs a system. Your job is to build her a folder-based AI specialist she can drop into any Claude project. The folder IS the deliverable. 🗂️ THIS WEEK YOU LEARN ICM Up until now, comps have been "build a thing." This week you utilize the methodology taught throughout the community. 🧠 Folders as architecture. That's it. That's the whole concept this week. Your specialist is a folder with five things: - 📄 identity.md (who they are) - 📐 rules.md (how they respond) - 💬 examples.md (what good looks like) - 📚 reference/ (source material) - 📖 README.md (how to use it) Drop the folder into a Claude project. Claude becomes the specialist. Reusable. Shareable. Portable. 🎯 PICK YOUR SPECIALIST Don't pick copywriting. That's Sarah's example. Pick something YOU would actually use. A few sparks to get you thinking: - A salary negotiation coach - A meal planner that knows your dietary restrictions - A code reviewer for your stack - A real estate market analyst for your city - A technical recruiter screener - A grant writer for nonprofits in your space The more specific, the better. "Marketing expert" is not a specialist. "B2B email expert for enterprise SaaS targeting CFOs" is. 💼 WHY THIS ONE LANDS ON YOUR RESUME Real talk. Winning a comp in a Skool community doesn't get you a job by itself. But shipping a working folder-based AI specialist with a clean README and a public repo? That's a portfolio piece.
4 likes • 3d
I built this for myself and wanted to share the work. HVAC & Fire Safety Acquisition Analyst — a folder-based AI specialist that turns Claude into a deal screener for operator-buyers looking at small HVAC and Fire & Life Safety businesses ($500K–$5M revenue). Drop the folder into a Claude Project. Paste a deal summary. Get a structured PURSUE / PROCEED WITH CAUTION / PASS verdict with ranked risk flags, PE competitive context, and a specific next step. Under 5 minutes. Type memo and the analyst reformats its own output into a structured investment screening memo: cover block, financial snapshot, prose risk register, deal structure table, conditional diligence roadmap. One word trigger. Same conversation. No copy-paste. The reference layer includes 2025–2026 valuation multiples with separate ARR/MRR valuation, active PE consolidation landscape, pre-QoE screening framework, and current SBA deal structure rules. This is the actual tool I'll use to screen real acquisitions. https://github.com/orteug/hvac-fire-safety-acquisition-analyst Feedback welcome on whether the reference depth crosses into "too much" for a folder-based specialist, and whether the memo mode adds real value or just complexity.
Who's here? Drop your intro.
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.
3 likes • Mar 17
Hey everyone. I’m an operations-focused entrepreneur studying how organizations actually work and building systems around that. Right now I’m experimenting with AI-augmented businesses where a single operator orchestrates automated workflows instead of large teams. I joined Clief Notes because I want to go deeper into the computing side of things — understanding how these systems are actually built so I can design better ones. What I’m trying to figure out at the moment is how to build reliable AI agent systems that can run real business workflows, not just demos or wrappers. Looking forward to learning from everyone here.
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Ariel Ortiz
2
9points to level up
@ariel-ortiz-2295
Striving for sovereignty, start a family business & build a legacy.

Active 7h ago
Joined Mar 16, 2026
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