No plugins, no code. Three folders on your computer — Inbox, Brain, Output — plus one file called CLAUDE.md that tells the AI where everything lives. Here's why it matters 👇 You're sitting on years of pricing, proposals, SOPs, client notes and meeting recaps that AI can't touch, because it's scattered across a laptop, three inboxes and a Drive folder nobody's opened since 2024. So every chat starts with you re-explaining your own business. The fix is the file everybody skips. CLAUDE.md is what Claude reads first, every time — what your business is, what's in each folder, and which file is the real one when you've got five versions of your pricing. Skip it and it opens your folder and guesses, then quotes a 2024 price to a live lead. I put together a short step-by-step guide with the exact folder setup, a copy-paste CLAUDE.md template, the prompt that sorts your whole Inbox into a clean Brain, and the one rule that makes every answer name the file it came from. 👉 Grab it here: https://claude.ai/code/artifact/f4da52f7-5dc8-4d41-a06a-6b88ac5755eb Build it, then tell me the first question you'd ask it about your own business 👇

There's a free, open-source tool called OmniRoute that installs on your own machine and sits between Claude Code and 290 model providers — 90+ of which have free tiers. Here's why it matters 👇 You're mid-build, it's going well, and then the 5-hour window runs out. Now you either wait or upgrade — and either way you've lost the thread of what you were doing. That's the real cost. Not the money, the 90 minutes of context you have to rebuild. With this wired in, the session doesn't stop. Your Claude plan is still first in line — but the second it's spent, the next request goes to a free model and the work keeps moving. It also compresses what you send before it leaves your machine, so you burn through your paid window a lot slower too. One honest thing: this does NOT make Claude unlimited. Your Anthropic limits don't change. What survives is the *tool* — a different model does the boring 80% while you save your good model for the hard part. I put together a short step-by-step guide — the two-command install, the lane setup that decides what runs free vs paid, and the one data rule you don't break (free providers still see your prompts). About 10 minutes. 👉 Grab it here: https://flicker-celestite-7b6.notion.site/Never-Hit-a-Claude-Code-Limit-Again-The-Free-Fallback-Lane-OmniRoute-3acd180d8c808148a2f2e7eed821b17b?source=copy_link What kills your sessions more — hitting the limit, or losing context when it dies? Tell me below 👇

Fable 5 is the smartest AI ever built. It's also about 3x the cost of a normal model. So if you plug it into everything, your bill explodes. Here's why it matters 👇 Most of what you ask AI to do is grunt work — reading emails, cleaning a spreadsheet, sorting files. You do NOT need the best model on earth for that. But that's exactly what people point it at, and then they're shocked by the invoice. The fix is three lanes. A cheap model (Haiku) does all the reading and squeezes it into one short briefing. Fable 5 never sees the pile — it only reads the briefing and makes the judgment call. Then an agent (Hermes) goes and does the work. The rule that ties it together: you only tag Fable in when judgment changes the outcome. Not to read. Not to fetch. To decide. I put together a short step-by-step guide that shows you exactly how to set it up — the copy-paste reader prompt, the Fable "judgment-only" rule file, and a spend-preview gate that tells you the cost and asks before it spends a cent. 👉 Grab it here: https://flicker-celestite-7b6.notion.site/The-3-Lane-AI-Setup-Put-Fable-5-on-the-5-That-Matters-Pennies-on-the-Rest-3a5d180d8c8081468010e8828d5e08ea?source=copy_link What's the one task you'd hand a cheap model tomorrow to stop overpaying? Tell me below 👇

Most people trying to make money with AI do this: they learn every tool, watch every video, collect prompts like trading cards… and never ship one thing a business would pay for. The fix is boring and it works: pick one painful, repetitive job a business already pays a human to do, and automate that one thing end to end. Here's the filter I'd use: → Is it repetitive? (done the same way every time) → Is it painful? (someone hates doing it) → Is it already costing them money? (a salary, missed leads, slow follow-up) Answering the phone. Following up on quotes. Booking appointments. Sorting inbound. Those aren't glamorous — which is exactly why they're worth money and nobody else is fighting you for them. Build that one thing until it works. Then find ten businesses with that exact pain. That's a business. Everything else is a distraction from that. If you want the actual build training, the outreach scripts, and people who'll unstick you when the build breaks — that's AI Accelerator+. $72/mo before 70 members. Soon moving to annual-only (annual signup guarantees a client within 90 days) → https://www.skool.com/theaiaccelerator/about?utm_source=skool&utm_medium=zero-to-first-build

The install is 10 minutes. The training is the 90% nobody films. This week I built the agent that runs my whole business — sales, ops, admin — free, open source, on my own computer, zero code. The reframe: you're not buying a tool, you're hiring your first employee and training it. - What it is + how you train it. Hermes Agent by Nous Research — open source, a desktop app with no terminal, and unlike ChatGPT or Claude Cowork it lives on your machine and remembers your whole business across sessions. Connect Telegram + Zapier (Gmail, Calendar, ~9,000 apps), then write it a memory file: it interviews you on what you sell, your pricing, and your tone. Same proposal prompt that came back generic now sounds like you — same model, only the training changed. - Give it real jobs. Hand it a call transcript and it writes a full proposal, checks its own work against the call (~2 hrs → ~4 min), then saves the process as a reusable skill. Hand it a goal ("find 10 leads, draft each in Gmail") and it runs till done. Text it 3 jobs from your phone and it runs them in parallel. - It clocks in on its own. One sentence sets up a 7am brief to your Telegram; it keeps its own schedule, spins up sub-agents for big jobs, and stacks every skill it learns. Point the same 3 moves — train → build a skill → schedule — at any department. My take: you're not buying AI, you're buying an outcome. First draft only (you hit send), and since it only runs while your computer's on, park scheduled jobs on an always-on machine. 📎 Full guide PDF pinned below — every step, every prompt, and the memory-file + proposal-skill templates. 👉 Which department would you point your first agent at — sales, ops, or admin? Drop it below. [Watch the video here ▶️]