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

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?

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

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?

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

Which of these vendor claims is a RED FLAG suggesting a tool may not have meaningful AI capability?

The tool integrates with Zapier The vendor has raised venture capital funding 'AI-powered' prominently featured in marketing but no specific explanation of what the AI does in the product The tool requires a free trial signup before showing pricing

A small business owner is considering three AI marketing tools, all with similar feature sets. Which evaluation question is MOST important for long-term cost management?

Which tool has the best-designed user interface? What is the pricing at the volume I'll be using? (Many tools have low entry prices that become expensive at scale) Which tool was most recently founded? Which tool has the most integrations in their marketplace?

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

A small accounting firm uses the free version of an AI chatbot to help draft client financial summaries. The summaries include client names and income figures. What is the primary data risk?

Free AI tools automatically encrypt all submitted data No risk — small accounting firms are exempt from data confidentiality regulations The AI chatbot will share client financial data with the IRS Free-tier AI tools may use inputs for model training, potentially exposing client financial data — this likely violates professional confidentiality obligations

A company wants to connect an AI assistant to its private internal knowledge base so it can answer employee questions. Which technique is most relevant?

Retrieval-Augmented Generation (RAG) Building a new foundation model Switching to an open-source model Fine-tuning the foundation model from scratch

Which prompting technique best helps a professional use AI to identify blind spots in their own analysis?

Ask AI to summarize the analysis back in its own words Ask AI to score the analysis out of 10 Ask AI to write a better version of the analysis Ask AI to list the critical assumptions the analysis relies on, then ask what would happen if those assumptions were wrong

A small business evaluates an AI tool and discovers it will fine-tune its model using the company's customer data to improve future recommendations. What is the most important consideration before agreeing?

Whether the model will be available to the business for download Whether the model improvement will be visible to the business within 30 days Whether fine-tuning on small business data produces measurably better results Whether using customer data for model training complies with the business's privacy policy and applicable data protection regulations — and whether customers consented

A company builds a prompt library in Notion with 30 useful templates. After 3 months, some templates produce worse results than they used to. What is the most likely cause and solution?

The team is using too many templates — reduce to fewer than 10 Notion is not a suitable storage tool for prompt templates All templates expire after 3 months due to API policy AI model updates changed behavior — review and update templates when models are upgraded, and record a version history

Which Gemini feature most directly reduces hallucination on questions about recent events?

Gemini's fine-tuning on Google's proprietary dataset Gemini's large context window Google Search grounding — responses can be anchored to live Search results Gemini Flash's lower latency

What is the primary benefit of marking variables in a prompt template using brackets like [CLIENT_NAME]?

It allows the template to work across different AI provider APIs The brackets are required syntax for AI models to recognize variable values Brackets encrypt the variable so the AI doesn't see the actual client name It makes the changeable elements visually obvious, so any team member can fill them in without needing to understand prompt engineering

A strategy team wants to use AI to stress-test a business plan. Which prompt is most effective for this goal?

'Summarize this business plan in three paragraphs' 'Tell me if this business plan will succeed' 'What improvements can you make to this plan?' 'Act as a skeptical board member. What are the three riskiest assumptions in this plan, and what evidence would change your view?'

A small business wants to use AI for drafting responses to customer complaints that include customer names and order details. What is the simplest way to reduce privacy risk while still using AI?

Ask the AI not to store the customer's name after the session Never use AI for any customer-related communications Use AI only on Tuesdays when server load is lower and data is more secure Anonymize the data — replace the customer name with 'Customer' and describe the order generically — before sending to the AI tool

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?

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

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

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

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

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

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?

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 Switch to a more powerful AI model

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

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

What does SOC 2 certification indicate about an AI tool vendor?

The vendor has undergone an independent security audit verifying their security controls, data availability, processing integrity, and confidentiality The vendor is approved by the US government for handling classified data The vendor stores data in the US and is subject to US law The vendor's AI models are certified as bias-free