Adapting Software with AI
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Artificial Intelligence (AI) is transforming industries by automating tasks, enabling better decision-making, and unlocking new capabilities. This Knowledge Item explores how AI is used in different sectors, including common use cases, benefits, and real-world challenges.
These three terms are often used interchangeably, but they refer to different concepts with varying levels of complexity and capability.
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Product management isn’t a straight line — it’s a cyclical process designed to continuously evolve the product by responding to user needs, market shifts, and business goals. Here's the full loop:
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Prompt engineering is more than just writing instructions — it’s the art of shaping interaction with language models to unlock insight, precision, and creativity. To bring clarity to this rapidly evolving field, we've organized prompt techniques into eight custom categories, each representing a different dimension of interaction.
🧰 Prompt Structuring
🧙‍♀️ Spellweaver’s Grimoire – Product Thinking Overview
General AI (also called Strong AI or Artificial General Intelligence - AGI) refers to a type of AI that can understand, learn, and apply intelligence across a wide range of tasks, just like a human.
Narrow AI (also known as Weak AI) refers to artificial intelligence systems that are designed and trained to perform a single, specific task.
Prompt engineering is the art and science of designing effective natural language instructions (prompts) to guide large language models (LLMs) like ChatGPT to produce useful, accurate, and creative responses.