How to get a strategic advantage in the age of AI
AI is evolving at rocket speed. Instead of chasing every new tool, focus on foundational skills that will remain relevant as technology advances. This roadmap takes you from beginner to advanced in the skills that matter most.
Key Philosophy
Don't chase the new tools, focus on studying the fundamentals.
Understand how AI works
To get ahead with AI, you need to understand how AI actually works under the hood.
Artificial Intelligence
Understand how the machine learning behind artificial intelligence actually works. This foundation helps you choose the right AI tools for specific tasks and troubleshoot when things go wrong
Generative AI
Understand how generative AI works. Knowing the difference between creation and traditional AI helps you set realistic expectations and use these tools effectively
Large Language Models
Understand how models like GPT, Gemini, and Claude process text. This knowledge lets you write better prompts and understand their capabilities and limitations
Multimodal AI
Understand how AI systems process multiple content types. Multimodal capabilities are becoming standard and will define the next generation of AI applications
What You Need to Know
The key terms and concepts used in AI. The difference between traditional AI and generative AI. How modern AI models work at a high level.
Prompt Engineering
Prompt engineering is how you actually communicate with AI models. This is the highest ROI skill you can develop as it is foundational to anything else you can do with AI.
Here are two of my favourite frameworks:
TCREI Framework
"Tiny Crabs Ride Enormous Iguanas"
- Task: Define clear objectives and desired outcomes
- Context: Provide relevant background information
- References: Include examples, templates, and references
- Evaluate: Assess the quality of results
- Iterate: Refine and improve your prompts
RSTI Framework
"Ramen Saves Tragic Idiots"
- Revisit: Review and rethink your approach
- Separate: Break into shorter, clearer sentences
- Try Alternatives: Use different phrasing or analogous tasks
- Introduce Constraints: Add specific limitations and requirements
The Goal
Deeply understand and use these two frameworks. Do this, and you'll be better at prompting than 98% of people.
AI Agents
AI agents are currently the most exciting area of AI, because they allow you to build systems that will autonomously complete your tasks. This is where AI becomes truly powerful for business and productivity.
AI Agent Definition
Software systems that use AI to pursue goals and complete tasks on behalf of users autonomously
Six Essential Components
Models
First you need to pick your model, the intelligence engine powering reasoning and decision-making for your agent
Tools
Understand how the agent interacts with all the different tools and interfaces to connect with external systems and APIs
Knowledge & Memory
Understand how it stores and retrieves information through systems for managing context and memory
Audio & Speech
Tie in audio and speech capabilities to make it easier to interact with your agent through voice-based interaction
Guardrails
Ensure your agent doesn't go off track and produces the output you want through safety mechanisms
Orchestration
Systems to deploy, monitor, and improve agents in production environments
Golden Insight
"Literally every company that is a SaaS unicorn you could imagine there's a vertical
AI Agent unicorn equivalent."
From the Y Combinator panel discussion
"Vertical AI Agents Could Be 10X Bigger Than SaaS."
AI-Assisted Software Development ("Vibe Coding")
Master the new paradigm of development where you "embrace the vibes" and let AI handle implementation while you focus on direction and architecture.
Coined by Andrej Karpathy (OpenAI Co-founder)
"A new kind of coding where you fully give into the vibes, embrace exponentials and forget that the code even exists"
This might sound cringe, but it is the future of coding.
Five Essential Skills
Thinking
Create clear Product Requirements Documents (PRDs). Know exactly what you want to build before asking AI to build it.
Frameworks
Guide AI toward the right tools: React, Tailwind, Three.js. Learn common patterns for different types of applications.
Checkpoints
Always use Git/GitHub for version control. Things will break, don't lose weeks of work by skipping this step.
Debugging
Copy-paste error messages to AI. Provide screenshots for visual issues. Be methodical and patient with fixes.
Context
More context = better results. Include mockups, examples, detailed specs, and clear requirements.
Remember: "Tiny Ferrets Carry Dangerous Code"
Thinking → Frameworks → Checkpoints → Debugging → Context
The Vibe Coding Mindset
You're either implementing features (provide context, mention frameworks, iterate) or debugging code (understand structure, provide error messages). Master both modes for effective AI-assisted development.
Key Trends to Watch
Focus on these underlying trends rather than chasing every new tool announcement.
Integration into Workflows
AI is being embedded into existing tools and processes. Focus on learning how to improve your current workflows with AI assistance rather than replacing everything.
Massive Productivity Gains
AI-assisted coding and automation tools are dramatically reducing the barrier to building. Technical and non-technical people alike can create more than ever before.
Agent-First Applications
The future belongs to applications built around autonomous agents. These provide personalized, 24/7 experiences at much lower costs than traditional approaches.
Command Line Renaissance
CLI tools are experiencing a revival as developers seek faster, more integrated AI workflows. Tools like Claude Code represent this shift toward terminal-native AI.
Want to get ahead in your career using AI in 2026?
Join the waitlist for AI Agent Bootcamp below to be the first to know when we launch.
Last time all 100 spots sold out in under 48 hours to the waitlist before we had a chance to open it to the public
Remember This
"The future belongs to those who focus on learning the fundamentals of AI, not just chasing the latest new tools."
