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Ranked Model Tiers - Free Models from nano-gpt.com

S-Tier (Elite - Highest Capability)

Rank	Model	Provider	Strength
1	deepseek-v3.2:thinking	DeepSeek	Best reasoning, cost-effective
2	claude-opus-4:thinking	Anthropic	Top-tier reasoning & analysis
3	deepseek-v3.2	DeepSeek	Overall best value/performance
4	gemini-2.5-pro:thinking	Google	Strong reasoning, multimodal

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Grok + Claude 4.5 Supervisor System

Overview

A dual-agent AI system where Grok writes code quickly while Claude 4.5 supervises, tests, and corrects bugs in real-time.

Architecture

┌─────────────────┐         ┌──────────────────┐

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Full Inter-Agent Communication: Charm Crush ↔ OpenCode via ACP

There are two different ACP protocols - be careful not to confuse them:

Protocol	Purpose	Transport
OpenCode ACP (Agent Client Protocol)	Editor-to-agent integration	JSON-RPC via stdio
ACP (Agent Communication Protocol)	Agent-to-agent interoperability	REST/HTTP

For Charm Crush ↔ OpenCode communication, use the Agent Communication Protocol (ACP) developed by IBM/BeeAI under Linux Foundation.

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#!/bin/sh
# Alpine Linux System Setup Script - V2 (ROBUST FIX)
# Target: AMD Ryzen 7 H 255 (Zen 4) / Radeon 780M
# Alpine Linux v3.23+

set -e

echo "=== Alpine Linux System Setup ==="
echo "This script will install and configure packages for an AMD Ryzen APU workstation"
echo ""

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version: "3.8"

services:
  ollama:
    image: ollama/ollama:rocm
    restart: unless-stopped
    privileged: true
    dns:
      - 8.8.8.8
      - 1.1.1.1

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REFINED LLM Prompts: Xiaomi CyberDog 1 Disassembly Manual

Optimized for Gemini Imagen 3 - Tested & Validated

---

Image 1: Exterior Overview - Port Locations ✅ TESTED

Prompt:

Technical diagram of Xiaomi CyberDog 1 quadruped robot, side perspective view, clean white background. The robot body is matte black with smooth surfaces and four legs. Red arrows with labels pointing to key locations: "Power Button" on top back panel, "Touch Sensor" on center back panel, "Download USB-C Port" on left side near front leg, "Charging Port" on right side near rear leg. Isometric 3D perspective view. Technical instruction manual style. High contrast red arrows against black robot body. Sans-serif typography for labels.

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PROMPT: Build Pay-to-Reveal SaaS MVP (Self-Hosted + AI Moderation)

0. Non-Negotiable Constraints (Read First)

You are building a real, production-ready MVP that I will host on my own server.

• Hosting / runtime
  • Self-hosted on my Linux home server (Node.js).
  • Must run with:
• npm install

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Let’s say: “Build a full FastAPI backend + React frontend for a new SaaS.”

Design (ChatGPT Pro)

You: “Design architecture: entities, routes, DB schema, auth flow, deployment strategy.”

ChatGPT gives you:

Entity list

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#!/usr/bin/env bash
# Simple one-shot runner for Kokoro-FastAPI on macOS

set -e

# 1) Go to project folder
cd "${HOME}/Desktop/Kokoro-FastAPI"

# 2) (Optional) Create and use a virtualenv
if [ ! -d ".venv" ]; then

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//@version=5
strategy("Universal Adaptive Strategy V4 (ATR-Based)", overlay=true, process_orders_on_close=true)

// --- 1. SETTINGS & INPUTS ---

// TREND FILTER (The "Big Boss")
// We only trade if price is above this EMA. Keeps you out of crashes.
ema_len = input.int(200, "Trend Filter (EMA)", group="Trend")

// SUPERTREND (Entry Signal)