GLM Coding Plan ($3) + Frontend Skill + KingMode + Goose: This $3 Coding Setup is ALL YOU NEED!

The All-in-One Stack: A God-Tier AI Development Workflow

Key Concepts:

• GLM 4.7: A large language model (LLM) offering strong visual and reasoning capabilities, benchmarked to compete with Sonnet 4.5 and Opus.
• Goose: An open-source AI agent CLI (Command Line Interface) enabling shell access, file creation, and support for Model Context Protocols (MCPs).
• MCPs (Model Context Protocols): Protocols allowing agents to access external tools and data, specifically Vision MCP (image understanding) and Web Search MCP.
• Tweak CN: A design tool for generating CSS variables and themes, providing granular control over visual aesthetics.
• King Mode Prompt: A system prompt designed to force the LLM into detailed analysis and planning before code generation, enhancing logic and architecture.
• Front-End Design Skill: A set of instructions (markdown file) enforcing a specific, non-default aesthetic (editorial/brutalist) in generated designs.
• Ultrainking: A process where the model deeply analyzes a request before generating output, ensuring thorough consideration of requirements.

1. The Problem & The Solution

The video addresses the challenge of building a powerful, end-to-end AI development workflow without incurring high monthly costs. The presenter proposes “the all-in-one stack,” a combination of affordable intelligence (GLM 4.7), a versatile open-source agent (Goose), and a high-quality design system (Tweak CN). The key benefit is accessibility, with a student cost of approximately $36 per year, not per month. The presenter highlights the increasing number of individual AI tools available and the need for a cohesive workflow to maximize their potential.

2. The Engine: GLM 4.7 & ZAI Pricing

The foundation of the stack is the GLM 4.7 language model, accessed through the ZAI platform. Recent changes to ZAI’s pricing structure offer an annual plan for around $36, providing access to GLM 4.7. The presenter’s benchmarks indicate GLM 4.7 outperforms Sonnet 4.5 in visuals and rivals Opus in reasoning. The plan allows approximately 120 prompts every 5 hours, deemed “effectively unlimited” for most users. The first step is obtaining an API key from ZAI to serve as the “brain” of the operation.

3. The Body: Goose – An Open-Source Agent

Goose is selected as the agent interface due to its open-source nature, cross-platform compatibility (Windows, Mac, Linux), shell access, file creation capabilities, and crucially, support for MCPs. After downloading Goose and configuring it with the GLM 4.7 API key, the presenter emphasizes the need for upgrades via ZAI-provided MCPs: the Vision MCP and the Web Search MCP. These additions enable the agent to process screenshots and browse documentation without generating inaccurate information ("hallucinating").

4. The Brain Transplant: King Mode & Front-End Design Skill

To enhance GLM 4.7’s performance within Goose, a “brain transplant” is performed using two prompts previously discussed in other videos: the King Mode prompt and the Front-End Design Skill.

• King Mode Prompt: This prompt forces the model to “ultraink” – to thoroughly analyze architecture and data relationships before writing code, preventing laziness and promoting robust logic.
• Front-End Design Skill: This markdown file defines a specific aesthetic, prohibiting generic design elements like rounded corners and default blue buttons, instead enforcing an “editorial or brutalist” style.

These prompts are added to Goose’s system instructions, creating an agent with cheap processing power, visual input, and a sophisticated design sensibility.

5. The Visual Layer: Tweak CN for Granular Control

While the Front-End Design Skill provides a stylistic foundation, Tweak CN is introduced for finer-grained visual control. The process involves selecting a theme on tweak.com (e.g., Doom 64 for a high-contrast retro look), adjusting sliders to achieve the desired aesthetic, and copying the generated CSS variables. This ensures consistent and precise visual styling.

6. Workflow Demonstration: Building a Movie Tracker App

The presenter demonstrates the complete workflow by building a movie tracker app using Next.js and Superbase.

1. CSS variables from Tweak CN are pasted into a globals.css file (10 seconds).
2. The following prompt is entered into Goose: “Ultraink. Build a movie tracker app using next.js and superbase. I have already defined the theme variables in globals. Use the vision MCP to look at this screenshot of the linear homepage for layout inspiration, but keep the Doom 64 color scheme. Use the front-end design skill for the component structure.”
3. Goose initiates “ultra thinking,” analyzing the database schema and planning the application architecture.
4. Goose autonomously creates files, runs npm install, and configures the Tailwind theme.
5. The resulting design incorporates the Doom 64 color scheme, a masonry layout, and monospace typography, demonstrating the successful integration of all components. The Vision MCP is used to replicate the sidebar layout from a referenced screenshot.

7. Pro Tip: Designer Recipes in Goose

The presenter highlights a useful feature in Goose: the ability to save prompt stacks as “designer recipes.” This allows users to quickly load the King Mode and Front-End Design Skill context with a simple command (e.g., “designer make me a blog”), streamlining future projects.

8. Cost & Value Proposition

The presenter reiterates the exceptional value of the stack, emphasizing that it delivers capabilities comparable to $200/month enterprise plans for a cost of only a few coffees per year. This makes it an ideal solution for students and developers on a budget.

Notable Quote:

“You are getting the capabilities of the $200 per month enterprise plans for the price of a couple of coffees a year.” – The Presenter

Conclusion:

The “all-in-one stack” offers a compelling solution for developers seeking a powerful and affordable AI-assisted workflow. By strategically combining GLM 4.7, Goose, Tweak CN, the King Mode prompt, and the Front-End Design Skill, users can achieve professional-quality results without significant financial investment. The workflow streamlines the development process by separating visual and architectural decisions, allowing the agent to focus on code generation and execution. The emphasis on open-source tools and accessible pricing makes this stack particularly attractive for students and budget-conscious developers.