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27 contributions to Clief Notes
Wise Architects Corner Rung 1 is now live
As some of you know I have been working on a few modules for the classroom WELCOME TO THE WISE ARCHITECTS CORNER - THE LEGENDS · Clief Notes For a while now the sign on the door read 👷 Coming Soon 🚧 The First Rung Is Now Open Welcome. This is where we will demonstrate how AI works, where we build human-AI systems that last, and where the person at the keyboard stays the author of the whole thing. You do not need a technical background for any of it. You bring the curiosity, I bring the blueprints, and we build the understanding together. 🪜 Here is the climb This whole corner is one ladder, five rungs, and each rung raises what you can do with the machine: (1) Prompt engineering, talking to the model (2) Context engineering, giving it what it needs (3) Memory engineering, making it remember (4) Loop engineering, making it check its own work and then repeat (5) Graph engineering, running a whole system of them, with you in the chair You walk in asking "how do I even talk to this thing?" and you walk out running a system of them. That is the journey, and the top of this ladder is a system of machines, the bottom is one sentence, and the bottom is open today. 📚 What is open today The whole first rung, Prompt Engineering, all six posts: the Series 1 Overview, three classes, the payoff with its quick card, and my perspective on the rung everybody says is dead. 📆 A few things before you start One series a week. Rung two lands next week, rung three the week after, and this corner is going to grow fast, five weeks to the top. Follow these modules in order. You will find that each rung stands on the one below it, the second assumes you took the first, the third assumes you took the second, and the path only works if YOU climb from the bottom. Start at the map. The Start Here post shows you how every series in this corner runs and points you to the first door, the Series 1 Overview. Do not skip it (I know, you want the techniques, they are one door further and they are not going anywhere, the map is a short read, and it saves you a whole series of wondering where you are).
1 like • 15h
Hell yeah @Bas Rosario! I was waiting a long time for this. Thanks for putting this together. I can't wait to use this for what I am doing.
Not sure which model to use?
Ori Eval is live on OpenRouter. If you already route models through OR, this is the systematic version of "should we switch." Public benches and Twitter recs measure a fixed task set. They tell you how a model behaved on someone else's prompts, someone else's tools, someone else's budget. With 500+ models on OpenRouter, "just switch to the new one" is expensive guesswork. Same leak as picking a CMS because a roundup said it was number one. OpenRouter shipped Ori Eval for that. It is not a leaderboard. It is a way to score models on your app. What it actually does: - Scans the repo for every place a model gets called - Asks what you care about: accuracy, latency, cost, tool-call correctness, whatever you name - Writes a *.eval.ts file. You do not have to be an eval person - Runs your agent against candidate models through OpenRouter, so the comparison can cross labs - Pins the harness and the model for the run. If the score moves, it is the model, not the furniture shifting - Checks whether tools were called or not, and grades open-ended answers with an LLM judge - Can sit in CI so a worse model does not ship. Re-run when a new one drops The sample they show is a table: catch rate, p50 latency, dollars per PR, pass/fail against your criteria. Then a recommendation, plus a cheaper "value" pick if volume grows. I have not run this on my agents yet. Treating it as garage until someone in here drops a real table. Cost is real. It calls live models. OpenRouter's own skill says 10 to 30 minutes and it can spend more than the credit on the key. First pass lands in a throwaway workspace. The eval is not yours until you decide to keep the file. Try it Tell your coding agent: run curl -fsSL https://openrouter.ai/skills/spawn-ori-eval and follow the instructions in its output to get started Already on the OpenRouter MCP? /spawn-ori-eval By hand: curl -fsSL https://openrouter.ai/labs/ori/install.sh | bash
Not sure which model to use?
0 likes • 23h
@David Vogel this is something I did personally in my ICM lately, so this is good timing. I took OpenCode models and Modelstudio models, then built a table of strengths and weaknesses of each model in each (with the Claude models as well), to use against certain tasks I have to run on a day-to-day basis. Then Claude built a model router for me in the ICM to route to the strongest model for the job. It's been working great, and even to help me save on the Claude weekly limit Haircut recently. 😅
I went looking for who else runs a maintained knowledge base with an agent on top. Found almost nobody. Tell me I'm wrong
A founder asked me a question this week that I couldn't answer on the spot: do other businesses have a system like this? So I went and looked. Short version: outside this room, I can't find them. Everyone here runs some version of it already, a folder of markdown that Claude reads and maintains, and I'd stopped noticing how unusual that is. I'd like the room to tell me where the others are hiding, or whether we're further ahead than we think. The system in question is the one I've been installing at a three-person shop since August. The part that's now real: a knowledge base in a git repo that their own Claude reads before it does any work, a file register that watches their Drive and logs every arrival and every move, and a pitch engine that runs a brief through four human approval gates with the gaps written on the slide. Every filing carries who approved it or which rule filed it. Every page carries where it came from. When something ends up in the wrong place, the record says whether a person put it there or our rule did. None of the pieces are exotic. Markdown, git, a spreadsheet, an Apps Script, skills. What's different is that the knowledge is compiled and maintained, not retrieved. The agent doesn't search a pile of PDFs every time. It reads pages it helped write, with the provenance on them, and the rules for what it may and may not do live in the same repo. Here's what I found when I went looking for who else does this. The big holding companies in that industry have "operating systems" now. Real ones, sold to clients as the reason to hire the group. That's a data platform with agents on it, top down, owned by the group. Not a thing three people could own. Everyone in the middle has AI on top of files. The numbers from this year's surveys: about two thirds of agencies run brief generation in production, a third draft client reports with it, and the single biggest problem the independents report is getting AI into their actual workflows. Every "AI knowledge base" guide I read describes the same thing. Search over the shared drive. A memory server. Chat with your documents. Useful. Also not a record of anything.
0 likes • 9d
@Mira Bradshaw Which models are you using instead? I've seen a degradation as well, even with Fable. When I first started using Fable about 4 months ago, it was so awesome, now I find its watered down.
0 likes • 4d
@Mira Bradshaw Ah ok, cool. I had to do something today to mitigate this 25% boost, dropped down from 50% on Claude. I decided to use OpenCode models to run my tasks to remove the weekly limit expenditure velocity. So, now I am using Claude Fable as the Orchestrator and the sub-agents, based on strength tables, to delegate to either the OpenCode or Anthropic sub-models based on task. It's working pretty well actually, with the ICM system. I am not burning through tokens like I was. I'll monitor for a week to see what happens with my work.
Grandma passed and my uncle has cancer
Hey y'all, not a sympathy post. This isn't me saying I'm taking time off for anything. In fact it's the opposite. My grandma passed away last week and I was cleaning out her apartment with my mother and talking to my aunt (both of them it was their mother). I can tell they're struggling. It's why I work so hard honestly on the software community on everything else. Almost none of the money goes to me. I give it to my family, my wife my friends. It's what makes me happy. I'm building a company specifically so my family doesn't have to struggle. Been helping out where I can but obviously been focusing a lot on the business. My uncle also has cancer and so my aunt has been taking care of him and also at the same time dealing with a death of her mother . Best way I can contribute has been through cash and some love here are there. With that though means I don't always have the time to do what I need to do. So honestly, I'm asking for your help if you're willing to donate to my aunt's GoFundMe on top of the help that I'm giving. I've just donated a bit and would love other people to help out. To me, if I work hard I can make sure that my whole family is taken care of. But in the small ways I can help where I can I will do my best too And that goes with asking for help from others. So if you all could help me out help them out. That would be amazing https://gofund.me/45b6655ba
0 likes • Aug 16
Condolences. I know the feeling.
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Phill MacDonald
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Always grinding and hustling. Been in the SEO industry for well over 18 years and worked with many luxury realtors and developers.

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