HI, have you guys heard of Jev Ai - it is super fast and fraction of the cost of regular LLMs. I applied and got access. https://typesafe.ai/

Most free AI courses are a teaser. A few videos. Then a paywall. Anthropic’s Academy is not that. Thirteen courses. Listed at $0. Built by the team that ships Claude. No subscription. No upsell after the last lesson. That is worth an evening. Not because a certificate will hire you. Because the work teaches how the model fails, not just how to chat with it. If you just landed in Clief Notes and you still treat Claude like a smarter search box, start here. You do not need to be a developer. You do need one loop you can finish. Three tracks - AI Fluency. How to think with the model. Where it lies. Where it helps. Everyone starts here. - Developer. API, Claude Code, MCP. User to builder. - Specialized. Students, educators, nonprofits, AWS, Google Cloud. Only after 101. The instinct to kill: skipping Fluency and jumping to agents. That instinct is wrong. You will ship slop faster. Where to start tonight New to AI: Claude 101, then AI Fluency: Framework and Foundations. Want to build: Building with the Claude API, then Introduction to MCP. Education or nonprofit: Claude 101, then your specialized course. Most courses are 1 to 4 hours. Two in a weekend is enough. How you get in 1. Open Anthropic Academy on Skilljar. 2. Make a free account. 3. Pick a course marked $0. 4. Finish the lessons. 5. Download the certificate if you want the paper. https://anthropic.skilljar.com/ The certificate is a bonus. The useful part is a working sense of when Claude is wrong. That is the skill that compounds. Do Claude 101 this weekend. Bring back one thing that broke your current prompt habit. Drop it under this post. I want the boring version, not the certificate screenshot.

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

@Ry Mac did a GREAT job simplifying things down. Recommend taking a look. Has his own group too! https://skool.com/buildmarketclose/about

This is for people who are not technical. Someone with a normal job who saw something on YouTube and wants to be able to make something similar for practical use. Live with Danney Trieu · Four months ago I had never made a single AI video. I'm not a deeply technical person and never done any film in my life before, I'm just very passionate about this space. I figured out where the decisions live — which ones you hand to the machine, and which ones you take back. Then I found Jake & ICM just like many of you. Once I saw his method, everything got easier. More valuable than that, I found this awesome community that keep motivating me and supporting me. I like to give it back 🙏. Every Saturday, I'm hosting a Skool webinar here *UPDATE (09/14): Session records: https://drive.google.com/drive/folders/1TNk-42gZajrTWw-2tD3Fbn760UE-BeM_ Reelix explainer: https://danneytrieu.github.io/vibe-film-sessions/index.html Higgsfield affiliated link: https://higgsfield.ai/?fpr=nguyen61 My discord channel: https://discord.gg/EKab83ZGB Youtube: https://youtu.be/dryW_H54Rss ━━━━━━━━━━━━━━━━━━━━ Here's what I'm covering -> 🪜THE SIX LEVELS OF AI FILMMAKING 1 · PROMPT — you type it, the model decides everything else 2 · REFERENCE — you stop describing the look and start showing it 3 · MEMORY — your world lives in folders, so you stop re-explaining it 4 · BLOCKING — you decide where the camera goes, not the model 5 · DNA — your taste, written down, applied automatically 6 · AUTOPILOT — you point it at your work and it hands you the shot list Most people are stuck somewhere between 1 and 2 — and have no idea there's a 3. ━━━━━━━━━━━━━━━━━━━━ 💬 ONE ASK BEFORE SATURDAY Drop a comment below: which level are you on right now, and what are you trying to make?