AI for Everyday Life & Work

A proposed outline for planning your class. Examples and depth are tailored to the audience; the final syllabus is agreed with the host.

1. Module 01

   What generative AI does

   Explain prompts, models and generated responses without technical jargon. Distinguish generating a plausible answer from finding verified information.

   In practice

   Compare an AI-generated answer with an instructor-provided source and identify what still needs checking.

2. Module 02

   Explore everyday AI tools

   Introduce model selection, image and video basics, assistants and goals, and practical examples for websites, marketing and deal research through ChatGPT demonstrations. This is an overview, not a promise of mastery or earnings.

   In practice

   Discuss a fictional everyday task, the appropriate tool and the checks needed before using its output.

3. Module 03

   Choose an appropriate task

   Explore outlining, brainstorming, rewriting and summarizing. Consider when a search, a checklist or a human expert is more appropriate.

   In practice

   Sort example tasks by usefulness, information sensitivity and the consequences of a mistake.

4. Module 04

   Ask, refine and review

   Give context, set an audience and request a useful format. Improve a draft through follow-up instructions and independent checking.

   In practice

   Turn a fictional activity brief into a short plan, then correct an omission.

5. Module 05

   Protect privacy and recognize phishing

   Discuss privacy, bias, uncertainty and human responsibility. Recognize suspicious messages and verify requests through an independent trusted route; AI output is not proof that a message is safe.

   In practice

   Review a fictional suspicious message, name an information boundary and explain a safe verification step.

A suggested 90-minute demonstration-led library introduction with guided everyday tasks and ChatGPT demonstrations. Live online via Google Meet or on-site in Arizona by agreement. Designed for 12–15 adults, with a maximum of 20; a three-session series can also be scoped. Request a quote covering preparation, materials, delivery and any travel. Dates, accessibility, format and fees are agreed before booking.

Timings are suggested lesson plans, not confirmed availability or fixed delivery commitments. Group size, access needs, breaks and prior experience shape the final schedule.

• An AI vocabulary and task-selection worksheet.
• A simple prompt structure and response-review checklist.
• A personal practice plan using low-stakes, non-sensitive examples.

Practice work uses fictional, public or approved material. Sample records and projects illustrate the method; they are not client results.

Explain one capability and one limitation, improve a basic request and identify a claim that needs verification. Learners leave with a next task they can try safely.

Learning checks guide feedback and next steps. Completion does not imply vendor certification, accreditation or academic credit.

• The host supplies participant registration; virtual delivery uses Google Meet. Coordinate platform, device and account requirements before booking.
• No AI account or paid AI subscription is needed for the demonstration-and-worksheet format. Any optional individual hands-on access must be agreed in advance.
• Use fictional or non-sensitive examples; do not bring passwords, personal records or confidential workplace material.
• Share audience experience, accessibility needs and relevant organizational policies. Confirm dates, applicable taxes and final scope before booking.

Before booking, we confirm the audience, learning goals, format, materials, instructor requirements and fee. Tool subscriptions or other third-party costs are identified separately when relevant.