AI Landscape Quiz: Do You Know the Models That Matter?

A startup builds an AI writing assistant that is entirely a UI layer on top of the GPT API. Why is this business model vulnerable?

OpenAI could add similar UI features directly to ChatGPT, instantly competing with the startup's core product Users prefer to use APIs directly rather than through a UI layer The startup will be banned from using the OpenAI API for commercial products GPT API pricing makes it impossible to charge customers enough to be profitable

What is 'micro-SaaS' in the context of vibe coding?

Software built by large companies for internal micro-services Highly focused software products serving small niches that were previously uneconomical to build — now viable because development costs are near zero AI tools that perform micro-tasks for users Software sold at very low monthly prices to maximize volume

Why can many different AI products (e.g., a writing tool, a customer service bot, a code assistant) feel similar in capability?

AI models can only do one type of task well They may all be using the same underlying foundation model via API Foundation models are open-source and freely copyable They all copy ChatGPT's training data

Based on 2025 labor market trends, which segment of software developer demand is most under pressure?

AI/ML engineers building and deploying models Junior developers doing routine implementation tasks — which AI tools can now perform at lower cost Security engineers performing vulnerability assessments Senior architects designing large-scale distributed systems

What is 'outcome-based pricing' in AI services?

A pricing model where customers pay more as their revenue grows Charging customers based on measurable results the AI delivers — not per seat or per month Free-to-use pricing with premium upgrades for advanced features Pricing based on the number of AI model parameters used