🧠 Artificial General Intelligence (AGI)—the intelligent machine humans have been dreaming of for years—feels closer than ever. With tools like Roo Code, Boomerang Tasks, and Gemini Pro 2.5 MCPS, we’re witnessing an evolution in AI’s ability to automate complex workflows seamlessly. This breakdown explains how these innovations work, why they matter, and even dives into a real-world application of building a WordPress website from one single prompt. Get ready to explore how these systems can simplify AI creation like never before.
🚀 Roo Code: Breaking Down Big Tasks with Subtasks
Have you ever tried giving AI too much to handle? Chances are, the results were disappointing because the AI got lost in the magnitude of the task. Enter Roo Code, an innovative AI framework that splits tasks into smaller, manageable subtasks—each with its own dedicated context window. This approach makes workflows cleaner, faster, and staggeringly efficient.
How Roo Code Works
Instead of one large prompt, Roo Code uses “boomerang tasks” to divide tasks. For example:
- A general prompt (e.g., “Build a WordPress directory for plumbers”) gets broken down into subtasks like:
- Research plumbers in Dublin 🏙️
- Define CSV structure for storing data 📋
- Design a landing page 💻
- Format and populate with SEO-friendly content 🔍
Each subtask has its specific goal and does not get bogged down by the overarching task, freeing the AI to execute with clarity and precision.
💡 Real-Life Example
Imagine asking AI to build a brewery directory website. Instead of struggling with the entire prompt, AI splits it down: gathering brewery locations, structuring data for a CSV, writing SEO content, and designing the interface—in distinct steps. While humans often panic over task complexity, Roo Code creates order out of chaos effortlessly.
✨ Fun Fact
The context window in Roo Code can hold 300,000 tokens, allowing it to retain an incredible amount of task-relevant data while operating efficiently.
Practical Tip
When working with Roo Code, include as much detail as possible in your subtasks. Use clear descriptions, like: “Search for reviews on plumbers in Dublin” or “Add geo-coordinates to all business listings.” This specificity makes each subtask laser-focused.
🔄 Boomerang Tasks: Orchestrating Workflow Like a Pro
If Roo Code is the muscle, Boomerang Tasks are its brain. These tasks reassign themselves dynamically based on what the AI needs next to finish the overarching project.
Why Boomerang Tasks Are Revolutionary
- Adaptive Workflows: Tasks can shift in priority depending on the AI’s current state, ensuring smoother execution.
- Optimized Context Switching: With each task slotting into its specific context window, it avoids unrelated distractions.
- Time-Saving: You could literally leave the process running overnight and wake up to major progress.
Example in Action
In the video, the creator initiates the AI to build a one-prompt WordPress website directory. AI first researches, then formats data into CSV, generates SEO content, and produces visuals—all autonomously, thanks to boomerang tasks constantly reshuffling priorities.
🙌 Fun Fact
Boomerang Tasks essentially mimic an assembly line, where each machine (task) focuses singularly on its contribution.
Practical Tip
If a subtask stalls or falters, intervene briefly to correct it. Don’t be stubborn about making the AI achieve perfection—allow for human input where necessary.
🔗 Gemini Pro 2.5 MCPS: Context Meets Power
Gemini Pro, paired with Multi-Contextual Processing Settings (MCPS), is like leveling up an AI’s cognitive abilities: it processes layers of overlapping context simultaneously while retaining the flow of the overarching prompt. In short, your AI not only understands your request but also applies dynamic thinking to refine results.
Features That Stand Out
- Massive Context Window: Gemini 2.5 allows the AI to use larger datasets without losing focus.
- MCPS Support: This feature lets the AI “temporarily pause” and focus deeply on a single subtask while keeping the bigger picture intact.
💡 On Boomerang Mode + Gemini, AI upgraded itself to solve:
- Broken website display issues.
- The need for functional plugins installed on WordPress.
- Mismatched CSV importing issues.
🌀 Fun Fact
This combination is so powerful that AI can generate a website, complete with embedded data and SEO-friendly content, in less than 20 minutes.
Practical Tip
Enable MCPS when handling complex workflows or heavily data-dependent prompts. It provides precision by narrowing the focus, while still creating the foundation for the next step.
🏗️ Real-Life WordPress Application
In the video demonstration, the creator builds a plumber directory from scratch using these tools. Here’s the process:
- Draft Prompt: A universal prompt template starts the build.
- Example: “Create a plumber directory for Dublin using geo-coordinates and visuals.”
- AI Workflow Initialization: Boomerang Tasks divide objectives into subtasks, such as:
- Gather sample plumber data.
- Create CSV file formats.
- Define landing page elements (maps, filters, listings).
- Execution: Within 20 minutes, the AI builds a rudimentary WordPress site with imported plumber data, but also highlights issues needing refinement.
Challenges Encountered
- CSV importing glitches required manual intervention.
- Poor design aesthetics needed further prompting to enhance visuals.
💡 Even with imperfections, the sheer speed and automation behind building an entire directory website with one prompt are groundbreaking.
Practical Tip
Pair AI-generated websites with professional plugins to clean up any rough edges. For importing data efficiently, tools like WP All Import can be helpful.
🌟 The Big Question: Is This AGI?
While Roo Code paired with Gemini Pro 2.5 MCPS isn’t true AGI, it’s perhaps the closest we’ve come to simulating autonomy. Its capacity to split workflows, maintain extremely large context windows, and adjust dynamically makes it feel incredibly intelligent.
Key Features Resembling AGI
- Dynamic task reassignment mimics problem-solving skills in humans.
- Layered context processing ensures robust execution of complex projects.
- Hands-off workflows allow users to focus less on managing AI and more on enjoying its results.
Practical Tip
Each AI setup has limitations. Push the boundaries but maintain realistic expectations—true AGI may still be several years away.
💼 Resource Toolbox
Here are tools to help you maximize your AI automation journey:
- Skool – AI Automation School: Access updated SOPs, prompts, and complete workflows.
- Free Prompt Template: Customize universal prompts to fit your project.
- RankMath: This WordPress plugin ensures SEO optimization for AI-generated websites.
- Local WordPress: Ideal for developing and testing AI-built sites off the live internet.
- WP All Import: Streamline the process of CSV data import for directory sites.
- Roo Code Documentation: A resource to dive deeper into Roo Code’s multi-tasking framework.
- Gemini Pro Tool Info: Learn more about its massive context window capabilities.
- Hamish’s SEO Services: Automate your agency’s SEO workflows with cutting-edge AI.
🌈 Why This Matters
These AI breakthroughs promise to change the way we interface with technology, automating labor-intensive projects and offering results faster than ever. From creating directories to refining workflows, Roo Code, Boomerang Tasks, and Gemini Pro 2.5 MCPS represent the future of streamlined creativity.
💥 Final Thought: Whether you’re building websites or dreaming of AGI, the tools discussed today pave the way for limitless innovations. Are you ready to incorporate them into your projects?
