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

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 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 AI was trained on legal documents Whether the existing provider offers referral discounts

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

The tool requires a free trial signup before showing pricing 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 integrates with Zapier

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

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

What is the primary reason Meta makes its Llama models available as open-source at no charge?

Open-source is required by US government regulation for AI models To establish Llama as the dominant open-source standard, growing Meta's AI ecosystem influence and accelerating research adoption Meta's Llama models are too weak to sell commercially Meta cannot afford to run a paid API service

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 Switch to a more powerful AI model Each salesperson should develop their own unique prompting style

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?

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

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

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

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

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

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

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

Ask AI to list the critical assumptions the analysis relies on, then ask what would happen if those assumptions were wrong 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

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?

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

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?

The application layer encrypts data before it leaves the company 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

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

Brackets encrypt the variable so the AI doesn't see the actual 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 It makes the changeable elements visually obvious, so any team member can fill them in without needing to understand prompt engineering

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

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

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 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 ChatGPT Enterprise — data privacy is guaranteed by contract

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

'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?' 'Summarize this business plan in three paragraphs'

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

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

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

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

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?

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

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?

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 A standard terms of service acceptance by the clinic is sufficient Chatbots don't count as HIPAA-covered technology — only EHR systems do