Prompt engineering has become the most practical AI skill you can learn today. Whether you’re using ChatGPT, Claude, or Gemini, the quality of your prompts directly determines the results. The barrier to entry is low. You don’t need programming experience to start. But knowing how to ask AI ...

For the modern AI developer productivity is often tied to a physical location. You likely have a ‘Big Rig’ at home or the office—a workstation humming with NVIDIA RTX cards—and a ‘Travel Rig,’ a sleek laptop that’s perfect for coffee shops but struggles to run even a quantized Llama-3 variant. ...

When a company claims to have created what’s essentially the holy grail of batteries, there are bound to be some questions. Interest has been swirling since Donut Lab, a Finnish company, announced last month that it had a new solid-state battery technology, one that was ready for large-scale ...

I just watched a guy whose content is about Fart Maxxing on Instagram. His entire platform is built around gut health and demonstrating, in real time,…

Who has ever had a great idea about an application, only to be confronted with the reality of the development dread, which may take weeks, or even months. The path between the idea and a working product can be tiresome. Imagine that you could fit that whole procedure into the amount of time you ...

In this tutorial, we build an advanced Griptape-based customer support automation system that combines deterministic tooling with agentic reasoning to process real-world support tickets end-to-end. We design custom tools to sanitize sensitive information, categorize issues, assign priorities with ...

Have you ever asked an LLM a question, changed the wording a few times, and still felt the answer wasn’t quite right? If you’ve worked with tools like ChatGPT or Gemini, you’ve probably rewritten prompts, added more context, or used phrases like “be concise” or “think step by step” to improve ...

You probably solved Bayes’ Theorem in college and decided you’re “good at statistics.” But interviews reveal something else: most candidates don’t fail because they can’t code. They fail because they can’t think probabilistically. Writing Python is easy. Reasoning under uncertainty isn’t. In ...

Building an LLM prototype is quick. A few lines of Python, a prompt, and it works. But Production is a different game altogether. You start seeing vague answers, hallucinations, latency spikes, and strange failures where the model clearly “knows” something but still gets it wrong. Since everything ...

We share our AI model’s proof attempts for the First Proof math challenge, testing research-grade reasoning on expert-level problems.

Just 3 months after the release of their state-of-the-art model Gemini 3 Pro, Google DeepMind is here with its latest iteration: Gemini 3.1 Pro. A radical upgrade in terms of capabilities and safety, Gemini 3.1 Pro model strives to be accessible and operable by all. Regardless of your preference, ...

In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define clear response schemas, wire in tools via dependency injection, and ensure the agent can safely ...