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

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

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 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 is only relevant for businesses with over $1 million in revenue

A small business owner asks ChatGPT for advice on which business entity structure to use for tax purposes. What is the appropriate way to use this output?

Use the AI explanation to understand the concepts and questions to ask, then consult a CPA or tax attorney for the actual decision Ask AI a second time to confirm the recommendation before acting Ignore AI entirely for financial questions — it cannot be trusted Implement the AI's recommendation directly — ChatGPT knows current tax law

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

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

A manager asks AI to 'rewrite this paragraph to sound more empathetic.' The AI produces a warm, caring-sounding response. What is the remaining risk before sending?

No risk — tone adjustment is a task AI handles reliably The AI will have removed all the key information from the paragraph Empathy-based language is prohibited in business communications The AI doesn't know the actual relationship — the rewritten tone may not match what the recipient expects from this person

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?

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

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

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

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

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

A restaurant owner uses QuickBooks and wants to know whether they should add a new menu item. How can AI most helpfully assist this decision?

Predict with certainty whether the new item will be popular Help analyze the food cost percentage, compare to current menu margin benchmarks, and model the break-even and revenue impact — as a thinking aid, not a final decision Access the restaurant's sales data automatically from QuickBooks Provide guaranteed advice on pricing strategy under local restaurant law

A personal trainer spends 5 hours per week trading emails to schedule client sessions. What AI-powered solution most directly eliminates this?

A scheduling tool like Calendly that lets clients book directly based on the trainer's availability — eliminating scheduling email threads entirely A spreadsheet that clients fill in with their preferred times An AI tool that analyzes the emails and suggests responses An AI chatbot that discusses scheduling via email but still requires the trainer to confirm each booking