Build anything with Grok 4, here's how

Key Concepts

Grok-4, Grok-4 Heavy, Multimodal AI, Reasoning Model, Context Window (256k), Multi-Agent System, Benchmarks (GPQA, AGIEval, HumanEval), Repo Prompt, Cursor, Vectal, AI Agents, Tool Calling, Prompt Engineering, Context Engineering, UI/UX Design, Git Commands, Productivity, Task Management.

Grok-4: The World's Best AI Model

• Introduction: David Andre introduces Grok-4, claiming it surpasses OpenAI, Anthropic, Meta, and Google in AI model performance. He emphasizes the Grok-4 Heavy version, a multi-agent system, and demonstrates its use in Cursor and for building applications.
• Benchmark Performance: Grok-4 significantly outperforms competitors on benchmarks like GPQA (Google-Proof Question Answering), AGIEval (Advanced Math), and HumanEval (Coding).
• Key Specs and Features:
  • Multimodal: Handles text and images.
  • Reasoning Model: Strong logical inference capabilities.
  • Context Window: 256k tokens.
  • Function Calling: Integrates with external tools.
  • Structured Outputs: Provides data in organized formats.
• Grok-4 Variants:
  • Grok-4 Base: The standard version.
  • Grok-4 Heavy: A multi-agent system where multiple agents work in parallel to solve problems, with a consensus mechanism to choose the best solution. XAI claims it outperforms PhD-level benchmarks.

Grok-4 Heavy: A Multi-Agent System

• Collaborative Problem Solving: Grok-4 Heavy launches four agents in parallel, each experimenting with different problem-solving approaches.
• Consensus Mechanism: The system chooses the best solution based on agent consensus. If one agent finds a novel solution missed by others, Grok-4 selects that solution.
• Comparison to Codex: Unlike Codex's independent variations, Grok-4 Heavy agents collaborate.

Grok-Free Theory

• Unrestricted AI: David Andre theorizes that Grok's initial unrestricted behavior, answering any question without limitations, was a strategic marketing tactic by Elon Musk or his team to generate hype.

The Urgency of Building with AI

• Rapid AI Advancement: Elon Musk states that AI is advancing so rapidly that they are "running out of tests" to challenge it, indicating that everything has become trivial to ask AI.
• Call to Action: The video urges viewers to move beyond consuming AI content and start building AI-powered startups and agents.

Grok-4 and Business Applications

• Running a Business: Grok-4 has the potential to run simple businesses, such as managing vending machines.
• Vending Bench Test: Grok-4 was tested on the Vending Bench benchmark and achieved impressive results, ranking at the top.

Future Developments

• Coding Model (Next Month): A specialized, fine-tuned version of Grok-4 for coding.
• Multimodal Agent for Video (September): An agent proficient in video understanding.
• Video Generation Model (October): A model capable of generating video content.

Building with Grok-4: A Practical Demonstration

• Tools Used: Cursor (IDE), Repo Prompt (context engineering tool), Vectal (task management platform).
• Objective: Improve the UI design of the Kanban board in Vectal.
• Step 1: Codebase Analysis with Grok-4 in Cursor:
  • Select Grok-4 in Cursor settings (enable it under "View All Models").
  • Enable "Max Mode" for the 256k context window.
  • Use "Agent Mode."
  • Prompt Grok-4 to analyze the codebase and list the seven most relevant files for the Kanban board UI.
• Step 2: Context Engineering with Repo Prompt:
  • Load the relevant files (Kanban card, column, view, task manager, task list, types, constants) into Repo Prompt.
  • Craft a detailed prompt for Super Grok (Grok-4 Heavy) to improve the Kanban card design: move the priority badge, remove unnecessary padding, and reduce the card height.
• Step 3: Executing the Prompt in Grok-4 Heavy:
  • Copy the prompt from Repo Prompt and paste it into grok.com to access Grok-4 Heavy.
  • Grok-4 Heavy launches four AI agents in parallel, each working on the problem.
• Step 4: Evaluating and Refining the Changes:
  • Copy the updated code from Grok-4 Heavy back into Cursor.
  • Assess the changes and identify areas for further improvement.
  • Iterate on the design by providing additional instructions to Grok-4, such as repositioning elements and removing unnecessary padding.
• Step 5: Using Git Commands:
  • Create a new branch ("kanban-redesign").
  • Commit the changes with clear messages.
  • Push the branch to GitHub with upstream tracking.
  • Create a pull request (PR) to merge the changes into the "dev" branch.

Grok-4 in Vectal

• Integration: Grok-4 is integrated into Vectal, providing Vectal Pro subscribers with access to the model for $20/month.
• Benefits:
  • Access to advanced AI models within a task management platform.
  • AI agents that can interact with the UI, assign tasks, and move them between projects.
  • Custom system prompts for each project, providing context to the AI agents.
• Call to Action: Switch from task management software like To-Doist, ClickUp, Trello, monday.com, or Notion to Vectal to leverage AI-powered productivity features.

Grok-4 Heavy: Is It Worth the Cost?

• Cost: $300/month.
• Recommendation: The default Grok-4 is sufficient for most users. Grok-4 Heavy is suitable for those who require maximum reasoning power for advanced programming issues and are willing to pay the premium.

Key Takeaways

• Grok-4 is a powerful AI model that surpasses competitors in various benchmarks.
• Grok-4 Heavy's multi-agent system offers unique problem-solving capabilities.
• AI is rapidly advancing, making it crucial to start building AI-powered applications.
• Vectal integrates Grok-4, providing users with access to advanced AI models for task management and productivity.
• Prompt engineering and context engineering are essential for achieving optimal results with AI models.
• Upskilling with AI is the key to maximizing its benefits and achieving personal and professional goals.
• Basic Git knowledge is crucial for efficient software development.
• Vectal Team plan offers personal onboarding and support for teams transitioning to the platform.