Vibe Coding Quiz: How Ready Are You for the New Software Economy?

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 using customer data for model training complies with the business's privacy policy and applicable data protection regulations — and whether customers consented 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

An employee sends a client email that was AI-drafted and contains incorrect information. Who bears professional responsibility?

No one — errors from AI tools are treated as force majeure events The employee — they are responsible for the accuracy and appropriateness of anything they send, regardless of how it was drafted The AI tool provider — they provide the drafting service The employer — they allowed AI tool usage at work

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 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

What is 'cash flow forecasting' and how do AI tools help small businesses with it?

Cash flow forecasting predicts when money will come in and go out; AI tools analyze past patterns and outstanding invoices to project future balances automatically Cash flow forecasting predicts stock market returns for a small business investment portfolio AI tools create cash flow reports by scraping competitor financial data Cash flow forecasting is only relevant for businesses with over $1 million in revenue

Which tool is specifically designed for non-programmers to build full web applications through natural language, with no local installation?

Cursor — a code editor requiring programming knowledge GitHub Copilot — requires a pre-existing codebase and developer workflow Bolt.new, Lovable, or v0 — purpose-built browser-based platforms for natural language app creation Python IDLE — a standard Python development environment

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 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 Never use AI for any customer-related communications

What is the vibe coding 'loop' after you receive an initial AI-generated app?

Test the output, describe what needs to change in natural language, let AI revise, and repeat Deploy to production immediately and gather user feedback Open the source code, fix bugs manually, then ask AI to add features Submit the code to a human developer for review and refinement

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 existing provider offers referral discounts Whether the new provider offers a lower price Whether the AI was trained on legal documents

You use an AI tool to draft a client proposal email. The AI includes a specific statistic — '73% of companies in your industry report cost savings from this approach.' What should you do before sending?

Add a disclaimer that the email was AI-generated Remove all statistics since AI cannot know current data Send it — AI models only include verified statistics Verify the statistic independently — AI tools frequently fabricate specific data points and percentages

What is the most effective first step when asking an AI to write a professional email on your behalf?

Provide the context — who the recipient is, what the goal is, and what tone is appropriate — before asking for a draft Write the email yourself first, then ask AI to make it longer Ask for the email without context and then copy it directly Use the AI's default style so it doesn't sound AI-generated