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

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

The employer — they allowed AI tool usage at work 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

A freelance photographer manually enters all expenses into a spreadsheet for tax time, spending 3 hours each month. Which AI tool most directly eliminates this work?

An accounting tool like QuickBooks, FreshBooks, or Wave that automatically categorizes bank and card transactions and organizes them by category A calendar reminder to do expense entry weekly instead of monthly Xero's API for developer-automated accounting ChatGPT — by manually listing expenses in conversation

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

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

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

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

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

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

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 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 The AI will have removed all the key information from the paragraph

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 Verify the statistic independently — AI tools frequently fabricate specific data points and percentages Remove all statistics since AI cannot know current data Send it — AI models only include verified statistics

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

A freelance designer wants to automate the process of getting a new client to sign a contract and pay a deposit. Which combination of tools enables this?

ChatGPT to negotiate the contract terms automatically Calendly to schedule the contract signing meeting and collect payment QuickBooks to generate an invoice that automatically becomes a signed contract DocuSign or HelloSign for e-signature + Stripe for automated payment collection + Zapier to connect form submission to triggering both

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?

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

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

What is Zapier most commonly used for by small businesses?

Managing team schedules and vacation requests Automating workflows between apps — triggering actions in one app when something happens in another, without coding Building mobile apps using natural language Creating AI chatbots for customer service

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 fine-tuning on small business data produces measurably better results Whether the model will be available to the business for download Whether the model improvement will be visible to the business within 30 days

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?

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

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 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

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

In the vibe coding workflow, what is the human's primary role?

Translating existing code from one programming language to another Product designer and decision-maker — describing what they want, testing results, and steering the direction Writing the core logic while AI handles boilerplate formatting Reviewing AI-generated code line by line for security vulnerabilities

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

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 was most recently founded? 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?