Run a Small Business With AI Agents

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-agentic-AI-and-real-business-AI

1. Which sentence best captures the main idea of 'Run a Small Business With AI Agents'?

   1. Tools and goals are unnecessary for agent design
   2. Agents and chatbots are the same thing in every way
   3. Some teens run real small businesses. AI agents handle scheduling, customer messages, even pricing. Real income.
   4. Agents should always run without limits or oversight

2. Which of the following is part of 'Some examples'?

   1. AI agent answers FAQ from new customers.
   2. Hide tool calls from the operator
   3. Always run with no oversight
   4. Never log what the agent did

3. Which of the following is part of 'The rule'?

   1. Disable safety checks for speed
   2. Real businesses + AI = real leverage even for teens. With parents involved for money matters.
   3. Use the most expensive model regardless of fit
   4. Approve all actions automatically

4. Which of the following is part of 'You did it!'?

   1. Never log what the agent did
   2. Run unbounded retries on any error
   3. Great work — you just leveled up.
   4. Avoid taking any actions in the world

5. What is 'small business' in this context?

   1. A reason to skip all logging
   2. A core concept covered in Run a Small Business With AI Agents
   3. A way to disable the agent's tools
   4. A trick to bypass approvals

6. What is 'AI agents' in this context?

   1. A reason to skip all logging
   2. A way to disable the agent's tools
   3. A core concept covered in Run a Small Business With AI Agents
   4. A trick to bypass approvals

7. What is 'teen entrepreneurship' in this context?

   1. A reason to skip all logging
   2. A core concept covered in Run a Small Business With AI Agents
   3. A way to disable the agent's tools
   4. A trick to bypass approvals

8. What is the most important question to ask before deploying an AI agent in a real business?

   1. Is this the trendiest model?
   2. Can we hide the AI from customers?
   3. Will it impress investors?
   4. What happens when, not if, the agent gets something wrong?

9. Which agent task is usually the safest first business deployment?

   1. Drafting internal summaries that a human reviews before sending
   2. Pushing code to production
   3. Auto-approving refunds
   4. Posting to the company's public Twitter

10. Which is the clearest sign an 'agent' is really just a chatbot in disguise?

    1. It can remember last week's conversation
    2. It can call a search tool
    3. It only produces text and never takes actions
    4. It uses a system prompt

11. What is the safest first place to deploy a brand new agent?

    1. Production, against real customers
    2. On a public server with no auth
    3. Inside a critical billing system
    4. A sandbox or low-stakes task with reversible actions

12. Which of these is the strongest indicator that an agent workflow is ready to scale?

    1. It passes a repeatable eval, has cost in budget, and a rollback plan
    2. It runs without any logging
    3. It used the latest model
    4. It worked once for one user

13. What should an agent's trace let you do after a run?

    1. Reconstruct each step, decision, and tool call so you can debug or audit
    2. Replace the need for any tests
    3. Make the agent run faster next time automatically
    4. Hide what the agent did from the user

14. What does an 'eval' for an agent measure?

    1. How polite the model sounds
    2. The exact wording of every prompt
    3. The temperature setting
    4. Whether the agent reliably completes a defined task end to end

15. Why does an AI agent need 'tools' such as a browser, calendar, or code runner?

    1. Tools shrink the context window
    2. Tools let the agent take actions in the world instead of only producing text
    3. Tools replace the need for any prompts
    4. Tools make the model speak more naturally