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2026 List of Useful AI Prompts & Strategies

The CO-STAR Framework Use this structured method to provide all necessary context for a high-quality response: Prompts to Reduce Hallucinations These strategies help ensure the AI sticks to the facts rather than “improvising”: Few-shot prompting:… 

Tree of Thoughts (ToT) prompting

Tree of Thoughts (ToT) prompting is a technique where you ask the AI to generate multiple reasoning paths (branches), evaluate them, and then expand on the most promising ones. Unlike “Chain of Thought” (which follows… 

Revolutionizing Survey Design via AI Prompting

Designing a high-quality survey is about more than just writing questions; it’s about minimizing bias, ensuring logical flow, and maximizing completion rates. Here is a guide on how to use AI prompting at every stage… 

How to use AI to respond to difficult emails

Using AI for difficult emails is a superpower because it removes the emotional tax from the task. When you are stressed or defensive, it’s hard to write clearly; AI, having no ego, can draft a… 

What’s Cache Augmented Generation (CAG)

Cache Augmented Generation (CAG) is an architecture for Large Language Models (LLMs) that removes the need for real-time data retrieval by pre-loading a knowledge base directly into the model’s active memory. In practical terms, while… 

What’s LangGraph

LangGraph is a powerful, open-source framework for building and managing complex, stateful, and long-running AI agents. It provides a flexible and controllable way to create sophisticated AI workflows by representing them as graphs. At its… 

Ollama models that can be run on a laptop

Running large language models locally on a laptop is becoming increasingly feasible, and Ollama makes it accessible. The key to a good experience is choosing a model that matches your laptop’s hardware, primarily its RAM… 

RAG

RAG stands for Retrieval-Augmented Generation. It’s a powerful technique used in artificial intelligence to make Large Language Models (LLMs) like me more accurate, up-to-date, and trustworthy. The Simple Analogy: An “Open-Book Exam” Think of a… 

selective focus photography of brown camel

RAG with EmbeddingGemma with Python Code using Ollama

Retrieval-Augmented Generation (RAG) is a powerful technique that enhances the capabilities of Large Language Models (LLMs) by connecting them to external knowledge sources. According to Google Developer website, EmbeddingGemma is a compact, open‑source embedding model… 

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