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Stop Hitting Claude Code's Token Limit | 11 FREE Fixes
My usage limit used to die inside the first hour on the 5x Max plan. Same work now finishes with the meter around 30 percent. 🔗 Official links from the video: ➡️ rtk: https://github.com/rtk-ai/rtk ➡️ caveman: https://github.com/JuliusBrussee/caveman ➡️ The CLAUDE.md from this video is attached to this post. I go through the eleven changes that took my Claude Code token usage down about 70 percent on the same work. Two of them are free repos you install once, rtk for what goes into the context window and caveman for what comes back out. The other nine are habits that are already sitting in your terminal and cost nothing. I show the before and after on my own usage screen, the exact numbers each change moved, and where I think the honest ceiling is on each one. 💡 What you'll learn ✅ How to install rtk so a 2000 token command dump comes back as 400 ✅ How to add caveman so Claude answers in facts instead of a wall of text ✅ How to read /context and find the MCP chunk that is eating your window ✅ How to run /compact yourself at 60 percent instead of letting it fire at 100 ✅ How to hand a long session over to a fresh one without losing your context ✅ How to keep the prompt cache alive by staying on one model per session ✅ How to keep CLAUDE.md under 200 lines and feed it markdown instead of PDF ✅ How to set /model opusplan so Opus writes the plan and Sonnet writes the code The attached CLAUDE.md has all eleven already written up as rules, including the always on rtk line and the handoff command. Drop it in the root of any project and Claude Code reads it on every turn. It is 158 lines, because rule eleven is keeping it under 200. If you only do one thing before watching, run /context and look at what is actually filling your window. Mine was an MCP block from servers I connected months ago and never used once. Book a free Consultation: 🔗 https://cal.com/genovaflow-ai/discovery-call
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Claude Fable 5: First AI to BREAK 90% on Agentic Tasks
🔗 Official links from the video: ➡️ Claude Fable 5 & Mythos 5 announcement: https://www.anthropic.com/news/claude-fable-5-mythos-5 ➡️ Claude Mythos: https://www.anthropic.com/claude/mythos In this video, I break down everything Anthropic just announced about Claude Fable 5, the first model in the new Claude 5 family and part of the Mythos-class tier that sits ABOVE Claude Opus. Fable 5 is beating Opus 4.8 almost everywhere, and it's the first model ever to break 90% on complex agentic tasks. I'll walk you through the benchmarks, the even more powerful Claude Mythos 5 model, how to switch to Fable 5 inside Claude Code, and the pricing and token costs you need to know before you start using it. 💡What you'll learn ✅ Why Claude Fable 5 beats Opus 4.8 on agentic coding, tool use, and long-running tasks. ✅ How Fable 5 became the first model ever to break 90% on complex agentic tasks. ✅ What Claude Mythos 5 is and how Project Glasswing fits into the rollout. ✅ How Anthropic made Fable 5 safe for public use by limiting its cybersecurity capabilities. ✅ The exact benchmark numbers for Fable 5, Mythos 5, and Opus 4.8 side by side. ✅ How to update Claude Code and switch to the Fable 5 model with a single slash command. ✅ The full Fable 5 pricing breakdown and why it burns your tokens 2x faster than Opus 4.8. This breakdown gives you the full picture of Claude Fable 5 and the Mythos-class models in 2026, the benchmarks, the safety story behind the cybersecurity limits, the real pricing per million tokens, and exactly how to start using Fable 5 today. Whether you're building agentic workflows in Claude Code or calling the Claude API directly, you'll know precisely what's changed and how to make the most of it. Book a free Consultation: 🔗 https://cal.com/genovaflow-ai/discovery-call Let us build your project: 🔗 https://genovaflow.com/#book
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Hey everyone! 👋 I'm Takeichi, an AI & Full-Stack Engineer based in Japan. I've spent the past 10+ years building production software, with the last several years focused on AI systems and automation. Most of my work has been around: - 🤖 AI Agents & Agentic Workflows - 🧠 LLM Applications & RAG Systems - ⚡ Workflow Automation - 🐍 Python (FastAPI, Flask), TypeScript/Node.js - ⚛️ React & Next.js - 🔗 API integrations and backend architecture - 👁️ Computer Vision & OCR I've built AI research agents, document intelligence platforms, multi-agent workflows, AI voice systems, and automation tools that integrate with third-party services and enterprise systems. I'm here to: - Learn from other builders - Share ideas and technical knowledge - Exchange AI automation workflows - Connect with people building real-world AI products Looking forward to meeting everyone! Feel free to say hi or reach out if you're working on AI agents, automation, or LLM-powered products. 🚀 Portfolio: https://contra.com/takeichi_inoue_65rexfis/about Email: [email protected] Telegram: https://t.me/HustorAI WhatsApp: +81 80-9299-0062
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