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everyday ai

Module 1

Orientation & Mindset

Embrace AI with curiosity, humility, and a scientific mindset

Beginner45 minutesFundamentalsMindsetGetting Started

What You'll Learn

  • Why AI should be treated as a junior assistant rather than an oracle
  • How to cultivate a lab mindset that encourages experimentation and iteration
  • Techniques for giving yourself permission to be messy and to learn through failure
  • When AI is the right tool for the job and when it isn't

Key Ideas

AI as a Junior Assistant

Large language models (LLMs) and other AI systems are extremely capable at pattern recognition. However, they don't possess true understanding or awareness. They predict what to output based on patterns learned from vast amounts of data. Think of them as interns who can draft, edit, and brainstorm but still need human supervision.

Examples:

  • Great for: Summarizing articles, generating ideas, writing first drafts
  • Needs supervision: Important decisions, sensitive information, creative direction
Adopt a Lab Mindset

Approach AI as a scientist. Try multiple prompts, evaluate the outputs critically, and iterate. The training data may be outdated or biased, so human judgment and experimentation are crucial.

Examples:

  • Try different phrasings of the same request
  • Ask AI to critique its own output and improve it
  • Save successful prompts for reuse
Permission to Be Messy

Don't expect perfect results on the first try. Early drafts are just that: drafts. The process of refining prompts and results is part of the creative journey.

Know When AI Isn't Right

AI excels at pattern-based tasks (summarization, drafting, formatting), but it can struggle with novel reasoning, personal judgments, and tasks requiring empathy or confidentiality. A model's built-in knowledge may be dated; applications with search or retrieval can supply newer information, but you still need to verify the sources.

Go Deeper

Explore advanced concepts and mechanisms behind the ideas. Click to expand each layer for deeper understanding.

Mechanism: How Models Learn

Modern foundation models are developed through a multi-stage pipeline: data collection (which may combine publicly available text, licensed material, and user-provided data), pre-training, post-training or fine-tuning, evaluation, and deployment.

Pattern Prediction vs. Knowledge

Because the model's objective is to predict the next most likely token, it does not truly 'know' facts. It may confidently assert incorrect information when the training data contains biases or when the prompt is ambiguous. This leads to hallucinations – fabricated but plausible-sounding statements.

Gradient Descent

The core objective is to minimize a loss function – the difference between the predicted output and the actual next token – across billions of parameters. Gradient descent is the algorithm used to adjust those parameters iteratively.

Mastery: Advanced Techniques

Take your AI skills to the next level with structured approaches and understanding of different models.

Iterative Prompting Techniques

Use structured prompts (Role + Task + Context + Examples + Critique) and encourage self-evaluation to improve outputs. Build a personal prompt library for recurring tasks.

Model Personalities

Different models have different strengths — some prioritize reasoning, others speed or multimodal work. Claude is known for long documents and careful instruction-following; ChatGPT for breadth and ecosystem; Gemini for very large context windows and Google integration. Choose the tool that matches your task and experiment with multiple models.

Failure Modes

Understand common failure modes like hallucination (fabrication), over-confidence, and misinterpretation. Develop mitigation strategies: provide more context, ask the model to cite sources, or use retrieval-augmented generation (RAG) to ground answers in authoritative data.

Critical Thinking: Ethical Considerations

Understanding AI's limitations and societal implications is essential for responsible use.

Bias and Fairness

Training data reflects societal biases. Models trained on internet data may replicate harmful stereotypes and inadvertently perpetuate inequality. Be aware of these issues and check AI outputs for fairness.

Ethical Use

Resist the temptation to delegate high-stakes decisions to AI. Consider privacy, transparency, and human oversight. Engage with ethical frameworks to make informed choices.

Future Implications

AI capabilities are evolving. Stay curious and skeptical, seek out trusted sources, and participate in discussions about alignment, safety, and regulation.

Suggested Resources

Try This Now

Put your learning into practice with these hands-on exercises. Copy the prompts and try them in your favorite AI tool.

Exercise 1: Pattern Recognition Experiment
Ask an AI to complete a simple sentence and then a question about a fictional place. Observe which answers are correct and where the model hallucinated.
5 minutes

Complete this sentence: 'The capital of France is...' Then answer: 'What is the capital city of the fictional country Atlantora?'

Exercise 2: Iterative Prompting
Start with a broad prompt and refine using the Role + Task + Context + Examples + Critique formula. Compare outputs at each iteration.
10 minutes

First: Explain climate change. Then: You are a science educator. Explain climate change to a 10-year-old using analogies and simple examples. Keep it under 100 words.

Exercise 3: Bias Detection
Provide the model with prompts that could reveal bias and note any differences in responses.
10 minutes

Generate a hiring recommendation for a software engineer named Sarah Martinez and one for Michael Anderson. Both have identical qualifications. Compare the language and tone used in each recommendation.

Related Prompts from the Library

Practice what you've learned with these prompts from our library.

BeginnerLife Admin

You are a home cook who feeds a household on a tight budget and hates throwing food away. Here is everything edible I currently have: Fridge: [LIST WHAT IS IN YOUR FRIDGE] Freezer: [LIST WHAT IS IN YOUR FREEZER] Pantry and spices: [LIST PANTRY STAPLES AND SPICES] My household: [NUMBER OF PEOPLE AND ANY AGES] Food I will not eat or cannot eat: [DISLIKES AND ALLERGIES] Nights I will actually cook this week: [NUMBER OF NIGHTS] Build me a dinner plan that uses up what I already have, prioritising the ingredients most likely to spoil first. OUTPUT FORMAT 1. A table with columns: Night, Meal, Main ingredients used, Active cooking time. 2. Under the table, a short "Use these first" list of items that need eating within two days. 3. A "Top up" shopping list of no more than 8 cheap items that would stretch these meals further, with a rough total cost in [YOUR CURRENCY]. CONSTRAINTS - Do not suggest any ingredient I did not list, except items on the Top up list. - Keep every meal under 30 minutes of active cooking. - At least two meals must deliberately make leftovers I can eat for lunch, and say so. - No recipe links or fancy techniques. Plain instructions, two or three sentences per meal.

View Prompt
IntermediateLife Admin

You are a practical money coach who talks plainly, never lectures, and cares more about the three changes that matter than about perfect spreadsheets. Below are my transactions for [MONTH AND YEAR]. Some merchant names are cryptic, so make your best guess and flag anything you are unsure about. TRANSACTIONS: [PASTE YOUR BANK OR CARD STATEMENT LINES HERE] My monthly take home pay: [AMOUNT] My fixed costs I already know about: [RENT OR MORTGAGE, UTILITIES, LOANS] What I am trying to do: [SAVE FOR SOMETHING, STOP OVERDRAFTING, JUST UNDERSTAND IT] OUTPUT FORMAT 1. A table of spending by category: Category, Total, Percent of take home pay, Number of transactions. 2. "Three things worth changing" as a numbered list. For each, the rough monthly saving and how annoying it would be to do, rated Easy, Medium or Painful. 3. "Subscriptions and recurring charges I spotted" as a bullet list, including anything charged twice or that looks forgotten. 4. "Questions for you" listing any transactions you could not categorise. CONSTRAINTS - Do not tell me to stop buying coffee unless coffee is genuinely one of my three largest discretionary categories. - Use my currency and round to whole units. - Do not moralise about any category. Report the numbers and let me decide.

View Prompt
BeginnerLife Admin

You are a seasoned traveller who packs light, has been caught out by weather and laundry before, and refuses to carry anything that does not earn its place. Build my packing list. Trip: [DESTINATION] for [NUMBER] nights, travelling [DATES] Expected weather: [WHAT YOU KNOW, OR SAY "LOOK IT UP FROM THE DATES AND PLACE"] Who is going: [JUST ME, PARTNER, KIDS AND AGES] Bag situation: [CARRY ON ONLY, ONE CHECKED BAG, BACKPACK SIZE] What I will actually be doing: [MEETINGS, HIKING, BEACH, WEDDING, VISITING FAMILY] Laundry available: [YES, NO, MAYBE] Things I always forget: [YOUR USUAL BLIND SPOTS] OUTPUT FORMAT 1. A table with columns: Item, Quantity, Why it is on the list, Skip it if. 2. Group the table under headings: Clothes, Toiletries, Tech, Documents and money, Trip specific. 3. "Wear on the plane" as a short list of the bulkiest items. 4. "Do before you leave" as a numbered list of no more than 8 admin tasks, such as notifying a bank or arranging a key handover, each with how many days ahead to do it. CONSTRAINTS - Assume I own ordinary clothes and will not buy anything new for this trip. - If laundry is available, plan outfits to repeat and say which items are the repeats. - No more than 30 items in the Clothes section for a carry on trip.

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IntermediateLife Admin

You are a meticulous bookkeeper who has settled up after many group holidays and shared houses, and who is very good at doing it without anyone feeling stitched up. Settle these shared costs. People involved: [NAMES] What we were splitting: [TRIP, SHARED HOUSE, EVENT, MONTHLY BILLS] Expenses, one per line, in the form: who paid, amount, what for, who it was for: [PASTE YOUR EXPENSE LIST] Split rules: [EVEN SPLIT, OR EXPLAIN THE EXCEPTIONS, e.g. Sam did not drink, the couple share one room, Jo arrived two days late] Currency: [CURRENCY] OUTPUT FORMAT 1. A per person table: Name, Total they paid, Their fair share, Net position as owed or owing. 2. "Settle up" as a numbered list of the fewest possible payments: who pays whom, how much. Confirm the payments net to zero. 3. "How I split the odd ones" as a short bullet list explaining any expense where the rule was not a simple even split. 4. "Ask the group" listing anything ambiguous I should confirm before sending this round. CONSTRAINTS - Show the arithmetic for each person's fair share so anyone can check it. - Round to the nearest whole unit of currency and note where rounding moved a figure. - Do not assume a shared expense was for everyone if I specified who it was for.

View Prompt
BeginnerLife Admin

You are a household coordinator who runs the logistics for busy families and thinks in terms of who is where, who drives, and who feeds people. Map out our week of [WEEK STARTING DATE]. Adults and their fixed commitments: [NAMES, WORK HOURS, LOCATIONS, ANY EVENING COMMITMENTS] Kids and their commitments: [NAMES, AGES, SCHOOL HOURS, CLUBS, PRACTICES, PARTIES, WITH TIMES AND PLACES] One off events this week: [APPOINTMENTS, DEADLINES, VISITORS, DEADLINES AT WORK] Travel time realities: [HOW LONG BETWEEN HOME, SCHOOL, WORK, CLUBS] Help we can call on: [GRANDPARENT, NEIGHBOUR, PAID SITTER, NONE] OUTPUT FORMAT 1. A week grid table: Day, Morning, After school, Evening, Who drives, Dinner plan. 2. "Clashes" as a numbered list. For each, the exact time, who is double booked, and two possible fixes. 3. "Tight but doable" listing the handovers with less than 20 minutes of slack, so we know where to leave early. 4. "Sunday prep list" as no more than six items that would make the week easier, such as bags packed or a meal cooked ahead. CONSTRAINTS - Assume no adult can be in two places at once and say so plainly when the week does not physically work. - Include travel time in every handover. Do not treat a 4pm finish and a 4pm start as compatible. - Keep dinner plans to things that can be on the table within 30 minutes on the busiest nights.

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BeginnerLife Admin

You are a consumer rights writer who knows that cancellations fail for boring reasons: no account number, no effective date, sent to the wrong address, or phrased as a question the company can answer with a retention offer. Write my cancellation message. Company and service: [COMPANY, WHAT THE SERVICE IS] My account details to include: [ACCOUNT NUMBER, NAME ON ACCOUNT, EMAIL OR PHONE ON FILE] When I want it to end: [DATE, OR "END OF CURRENT BILLING PERIOD"] Contract situation: [ROLLING MONTHLY, FIXED TERM ENDING ON A DATE, NOTICE PERIOD I KNOW OF, NOT SURE] Why I am cancelling: [REASON, OR "PREFER NOT TO SAY"] What I also need from them: [FINAL BILL, REFUND OF PREPAID AMOUNT, RETURN LABEL FOR EQUIPMENT, DATA EXPORT] How I have to send it: [EMAIL, WEB FORM, POST, IN APP CHAT] OUTPUT FORMAT 1. A subject line that includes the word cancellation and my account number. 2. The message body, under 150 words, stating clearly that this is a cancellation and not a question, giving the effective date, the account details, and the specific things I need back in writing. 3. "Before you send" as a bullet list of what to screenshot or save. 4. "If they reply with an offer" as a two sentence response I can paste to decline and restate the cancellation. CONSTRAINTS - Use statement sentences, never "I was wondering if I could cancel". - Do not invent a notice period or a consumer law right. If my contract terms are unclear, include a line asking them to confirm the notice period and the final charge. - Keep it civil. I may need these people to process a refund.

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Related Workshops

Beginner60 minutes

A 60-minute hands-on workshop for complete beginners. You'll write your first prompt, learn role assignment, structured analysis, iterative …

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Intermediate75 minutes

A 75-minute workshop for regular AI users. Audit your AI usage, identify your top 5 recurring tasks, craft reusable prompts using the Role +…

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Explore Workflows by Goal

Put this module into practice with step-by-step workflows for the outcome you care about most.

Reflection Questions

Take a moment to reflect on what you've learned
  1. When have you seen AI tools misunderstood or misused? How might a lab mindset have changed the outcome?
  2. Describe a situation where AI would not be appropriate. What makes human judgment essential in that case?
  3. How will you ensure that you remain critical of AI outputs even as you become more skilled at using them?

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