GLM Coding Plan ($3) + Frontend Skill + KingMode + Goose: This $3 Coding Setup is ALL YOU NEED!
How to Create an All-in-One AI Workflow for Under $36 a Year
Introduction to the All-in-One Stack
- The speaker introduces a new video series focused on combining various AI tools into a cohesive workflow.
- The all-in-one stack is designed to be cost-effective, especially for students, costing only about $36 per year.
Components of the Workflow
Step 1: Choosing the Engine - GLM 4.7
- GLM 4.7 is highlighted as the brain of the operation, with recent updates making it more accessible and effective.
- Users receive approximately 120 prompts every five hours, which is deemed sufficient for most users.
Step 2: Setting Up Goose as the Interface
- Goose is chosen as an open-source AI agent CLI that operates across multiple platforms (Windows, Mac, Linux).
- Goose can access shell commands and supports MCP's model context protocol, enhancing its functionality.
Enhancing Goose with MCPs
- Two specific MCPs—Vision MCP and Web Search MCP—are installed to improve capabilities without increasing costs.
- These enhancements allow Goose to analyze screenshots and browse documentation effectively.
Customizing Instructions for Better Output
Brain Transplant in Goose
- The speaker combines two previously discussed prompts: King Mode Prompt and Front-End Design Skill.
- King Mode forces deeper analysis before code generation while Front-End Design Skill enforces strict design aesthetics.
Visual Design Integration with Tweak CN
- Tweak CN is introduced as a tool for customizing visual elements like themes before coding begins.
- By using Tweak CN variables, users can ensure their designs align perfectly with desired aesthetics without guesswork.
Demonstrating the Full Workflow in Action
Building a Movie Tracker App Example
- The speaker demonstrates how to build a movie tracker app using Next.js and Superbase through Goose.
- The combination of tools results in high-quality output that mimics professional development standards at minimal cost.
Conclusion on Value Proposition
Cost Efficiency of the All-in-One Stack
- This setup provides enterprise-level capabilities at a fraction of traditional costs, making it ideal for budget-conscious developers or students.