If you've been following along from our first post on foundational prompting techniques, you're already seeing better results from your AI interactions. But here's where things get really exciting—we're about to dive into the cutting-edge techniques that are reshaping how professionals, creators, and innovators work with AI in 2025. These aren't just incremental improvements. We're... Continue Reading →
Making the Most of Limited Free “Deep Research” on LLMs: A Step-by-Step Guide
If you’ve ever tried using Perplexity’s Deep Research or OpenAI’s Deep Research, you know how powerful these tools can be for tackling complex questions, compiling reports, or gathering insights from across the web. But with free tiers offering only a handful of premium queries each month, every Deep Research credit is precious. So, how do... Continue Reading →
Five Frameworks to Write Effective AI Prompts
If you’ve ever found yourself staring at a blinking cursor, wondering how to get the best out of ChatGPT or any AI assistant, you’re not alone! Crafting the right prompt is an art-and a science. Recently, I came across a fantastic post by How to AI on LinkedIn that breaks down five frameworks for writing... Continue Reading →
Mastering Prompt Engineering: Key Insights from Google’s Must-Read Whitepaper
This whitepaper recently shared by Lee Boonstra of Google serves as a comprehensive guide for leveraging LLMs effectively in production environments, highlighting techniques, strategies, and best practices that are shaping the future of AI applications. The whitepaper can be downloaded here. Looking for a quick wrap-up of the whitepaper? Here goes! Here are the key... Continue Reading →
