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

Which layer of the AI stack contains products like ChatGPT, Microsoft Copilot, and Perplexity?

The foundation model layer The application layer The training data layer The API and platform layer

What is the biggest risk when an AI produces a confident-sounding analysis of your business?

The AI may refuse to complete an analysis if the business is in a regulated industry AI analysis is too long — it always produces 10+ pages AI may accidentally leak your business data to competitors AI doesn't know your actual organizational context — it analyzes the concept you described, not the specific realities of your situation

A small law firm uses an AI document tool that stores all case materials. They are considering switching providers. What vendor-related risk should they have addressed during onboarding?

Whether case documents can be exported in standard formats — allowing migration without data loss if they switch providers Whether the new provider offers a lower price Whether the AI was trained on legal documents Whether the existing provider offers referral discounts

A small physical therapy clinic wants to use an AI scheduling chatbot on their website. Patients will input their names, contact info, and appointment reasons (which may reference medical conditions). What is required before deploying the chatbot?

Chatbots don't count as HIPAA-covered technology — only EHR systems do A standard terms of service acceptance by the clinic is sufficient HIPAA only applies to clinics with more than 20 employees A Business Associate Agreement (BAA) with the chatbot provider, since the chatbot may process Protected Health Information under HIPAA

Which of these prompt template practices is MOST important for a large team to maintain quality over time?

Document expected outputs alongside each template so users know what 'good' looks like and can spot when quality has degraded Require every user to rewrite 30% of the template before use Lock down templates so only administrators can use them Rotate to a new AI model every quarter to keep outputs fresh

A healthcare startup wants to use AI to analyze sensitive patient records. Sending data to external cloud APIs is not permitted under their compliance policy. What type of deployment is most appropriate?

ChatGPT Enterprise — data privacy is guaranteed by contract Self-hosted open-source model (e.g., Meta Llama) on the organization's own infrastructure Google Gemini Pro — all Gemini data stays in healthcare-dedicated servers Whichever model has the highest benchmark score

A healthcare company is evaluating an AI vendor's product for processing patient records. The vendor's product is built on a closed-source foundation model API. What is the primary data privacy consideration?

Patient data will be transmitted to the foundation model provider's servers Closed-source models automatically comply with HIPAA The foundation model will permanently memorize patient data The application layer encrypts data before it leaves the company

A sales team writes a different prompt every time they need to generate a follow-up email after a meeting. What is the highest-leverage improvement?

Switch to a more powerful AI model Create a reusable prompt template with clearly marked variables for meeting date, client name, key discussion points, and next steps Only the most senior team members should use AI — it causes quality variance Each salesperson should develop their own unique prompting style

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

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

A team of 50 professionals already uses Gmail, Google Docs, and Google Sheets daily. Which AI path offers the lowest adoption friction?

Self-hosted Llama — requires technical setup Claude API — requires integration by a developer Google Gemini for Workspace — AI is embedded directly into their existing tools ChatGPT Enterprise — requires a new platform adoption