AI Tools Best Practices Essentials

What we verified before publishing

Fact-check status: passed

The following claims were verified through Perplexity Sonar before the questions were finalised. The host can reference any of them during play:

• Generative AI is a type of artificial intelligence capable of creating original content such as text, images, audio, or software code in response to user prompts.
• A prompt is a piece of text, instruction, or input provided to an AI system to trigger a specific response or action from the model.
• Prompt engineering is the practice of crafting, refining, and optimizing inputs to guide generative AI models toward producing more accurate and relevant outputs.
• AI hallucination occurs when a generative AI model produces a response that is factually incorrect, nonsensical, or fabricated while presenting it as fact.
• Human-in-the-loop (HITL) is an architectural pattern where human oversight is integrated into AI workflows to provide feedback, verify decisions, or ensure safety.
• To protect data privacy, users should avoid sharing sensitive information like social security numbers, financial records, or confidential credentials with public AI tools.
• Data anonymization involves removing or masking personally identifiable information (PII) from datasets before using them with AI tools to reduce privacy risks.
• Many AI platforms may store user inputs to train or improve their models, so users should review privacy policies and opt-out settings if available.
• Multi-factor authentication (MFA) provides an essential layer of security for AI tool accounts, reducing the risk of unauthorized access to sensitive workflows.
• Effective AI workflows often benefit from clear task objectives, clean and structured data, and continuous monitoring to ensure accuracy and performance.