🦈 **Shark Tank Proof**: 14 free Claude skills that test a business before you spend money on it Most AI startup tools are yes men. Ask "is my idea good?" and they say yes. So I built a pack that disagrees with you. **What it does** • **/shark-board**: a board of directors that argues about your idea and hands back a verdict • **/truth-serum**: 100 simulated buyers who aren't polite, so you see the objections early • **/burn-test**: your CFO. Margins, break-even, and how much cash you need • **/litmus** and **/dealbreaker**: the right price, and an offer that's hard to say no to • **/signal**, **/straight-talk**, **/reality-check**, **/prove-it**: marketing, brand, operations, launch • **/kill-or-build**: the full business plan, with a verdict the math decides, not me • **/handshake** and **/first-dollar**: the pitch for your next yes, plus funding that fits you **The part I care about most** Every claim gets a label: MEASURED, THEY SAID IT, PLANNED or SIMULATED. A simulated buyer can never count as proof. Your plan only says "Profitable" after a real person pays, signs or books. It's built on the Next Yes evidence folder from our sessions, and the Lyceum funding list (42 places to look) is built into /first-dollar. 🔗 https://github.com/peaknr35/shark-Tank-proof Try it on your idea and tell me where it breaks. 🙏

It’s live. Starting today, everyone in Clief Notes has access to the new Clief Notes AI. The easiest way to use it? Don’t overthink it. Ask it the question you would normally ask me. “Where should I start?” “What should I focus on next?” “Where did you talk about [topic]?” It’ll use what’s already inside Clief Notes to help answer you and point you toward the right lesson or resource when there’s something worth going deeper on. The goal isn’t to give you another AI tool to play with. It’s to make everything already inside this community easier to actually use. If you want Access to it Comment "READY" and we'll send you access to it!

Let’s say if I wanted to build my own specialized Chatbot or Claude or whatever a customized bill for specific specialty in my case for Toyota would ICM folder structure could do something like that. If so, how can I build something like that? Any thoughts the main goal is how can I build a specialized data driven based off of specific businesses a custom AI

EDIT: WE HAD OVER 100 PEOPLE SIGN UP IN TEN MINUTES....GOING TO BE ROLLING OUT ACCESS ON SLOWER BASIS NOW SO I DONT RUIN MY BANK ACCOUNT WITH TOKEN SPEND FOR YALL (im covering ai costs for everyone) but keep applying we are keeping track and will be letting more people in and reaching out about getting you all access one by one especially VIP. Our Platform is here, the thing a lot of you have been asking for and I have been teasing Take your ICM folders and second brains, put them in the cloud, and work on them together in real time. You upload your folders and files. One strong model with a good harness reads the map and becomes the agent you need. No new agents to build, no zip files to pass around. Each workspace runs in its own container. It renders your markdown, edits your files, installs packages, runs Python and Playwright, and multiple people can work in the same space at once. No Mac Mini needed to keep your data separate either. We're opening it to VIP and alpha testers first, and I'm covering the AI cost while we test so cant do a full role out yet. Free AI use which is great for those users, not great for my bank account haha. ✍️ Sign up for access: https://docs.google.com/forms/d/e/1FAIpQLSdSnToxclxt8EgoB2GizrEvHP7gzOedVcRXdCkpi1SZwR8ZfA/viewform 🔗 Questions, or want to work heavier with this? Email info@eduba.io

This might sound stupid but I just want to know ICM (Interpretable Context Methodology) is a workflow framework that structures AI agent tasks using numbered folders and markdown files instead of complex multi-agent code frameworks. It’s a way to organize AI work. Key words using some sort of ai agent (Claude Gemini etc). Would it be possible to create a python script that does icm but take away the ai agent?? create something like icm_framework.py — a lightweight implementation that: 1. Parses workspace structures — discovers stages from numbered folders (01-research, 02-analysis, etc.) 2. Reads stage contracts — parses CONTEXT.md files into structured inputs, process steps, outputs, checkpoints, and audits 3. Resolves inputs — automatically locates files from previous stages, config directories, or user-provided sources 4. Handles section scoping — extracts only relevant sections from markdown files (e.g., “Voice Rules” section) 5. Executes pipelines — runs stages sequentially and writes outputs to the correct output/ directories