Many current AI applications rely on a simplistic approach to “context,” often represented as lengthy logs of conversation. While functional, this method has its limits, leading to issues such as: No memory control: AI lacks the ability to recall past interactions effectively. No role awareness: The AI struggles to understand its position or purpose in … Read more
Exploring Innovative AI Solutions The rise of artificial intelligence is reshaping how we work and communicate. Here are three standout applications: 1. Personal AI Workspaces A writing assistant that not only helps with drafting but also remembers your unique style, tasks, and tone over time. This ensures your writing remains consistent and authentic, saving you … Read more
MCP: Final Wrap-Up — From Prompts to Protocols: The MCP Era Begins You’ve just delved into the Model Context Protocol (MCP) through three insightful episodes, and now it’s time to reflect on the key takeaways: Episode 1 highlighted why MCP is crucial: context enhances AI intelligence and reliability. Episode 1.1 connected MCP to agentic AI, illustrating its … Read more
In the fast-paced realm of technology, a thought-provoking notion has emerged: “apps are dead, prompts are the future.” This idea presents an enticing vision where users interact with AI through simple conversations, relegating traditional apps to the sidelines. However, the reality is that apps continue to hold significant importance, and AI relies on them more … Read more
Unlocking the Power of Agentic AI In a world where most users treat AI as a mere search tool, Agentic AI emerges as a transformative ally. This article shines a light on how people are transitioning from simply querying technology to truly delegating tasks. “The shift isn’t just technical — it’s cultural.” While conventional AI … Read more
The Bottom Line ChatGPT may seem off-base at times, but it’s more about being context-blind than anything else. It lacks real understanding of your world—and it heavily relies on the clarity of your questions. “It responds to how you ask — not what you meant to ask.” For instance, a question like “Where should I … Read more
Why I Wrote This Article If you’re a developer, designer, or anyone who loves their morning coffee, you know the brew is both a comfort and a productivity booster. However, it might also be the culprit behind your sudden bathroom sprints during meetings. “It’s not just you. Your gut is doing exactly what it was … Read more
Embarking on a New Era of Coding Having navigated the tech landscape since the Apple II, the shift towards using natural language for machine teaching feels revolutionary. The author, a seasoned coder, hints at a paradigm shift: the principles of great coding are now vital for crafting effective AI prompts. “We needed to stop thinking … Read more
Have you felt nostalgic for the precision of assembly code? The journey from machine communication to natural language prompting has evolved dramatically, but not without challenges. In our fast-paced tech landscape, we often find ourselves backtracking into ambiguity, reverting to a less structured approach with AI tools like GPT-4. “We’ve regressed from precise machine communication … Read more
In a world where predictability reigns supreme, particularly in API design, leveraging structured data formats like JSON and YAML for AI interactions can dramatically enhance reliability. “Send a POST request with the right JSON schema, get back exactly what the documentation promises.” However, many still rely on vague prompts, leading to inconsistent outputs. Consider a … Read more