Prompt Engineering

The context window defines the short-term memory limit of an AI model. Understanding it is vital for founders building AI products to manage costs and performance effectively.

This article explains AI tokens as the fundamental units of language processing, detailing their impact on startup costs, technical constraints, and the nuances of building with large language models.

This article defines prompt engineering as the strategic design of inputs for AI models to ensure high quality outputs for various startup operations and business decision making processes.

Chain-of-Thought prompting forces AI to explain its reasoning steps. This technique improves accuracy for complex tasks, reduces hallucinations, and is essential for founders building reliable AI-driven products.