Issue 39: Smarter by Thursday
Smarter by Thursday
One practical AI win, every week. No jargon required.
Spring cleaning and giving useful feedback may seem like unrelated tasks. One is about clearing out a home; the other is about helping a person improve. But both become easier when you stop trying to hold every detail in your head. AI can turn a vague intention into a practical checklist - and help you say something important clearly, fairly, and without unnecessary friction.
Try at least one before Sunday. That is the whole assignment.
Use Case 1 of 2
Use Case 1: Spring cleaning using a checklist AI creates
At 8:15 on Saturday morning, April Morgan stood in her kitchen with a cup of coffee, three overfull drawers, and no idea where to begin. She had promised herself she would “finally get the house sorted out” before her daughter visited in May. The trouble was that spring cleaning sounded like one enormous job. Should she start with the closets? The windows? The pantry? The garage? By 9:00, she had wiped down one counter and spent twenty minutes looking for a missing vacuum attachment. April did not need a motivational speech. She needed someone - or something - to break the project into sensible pieces, account for her available time, and tell her what to do first. That is precisely the kind of planning AI handles well.
Here is the exact prompt to use:
Copy and paste this into ChatGPT or Claude:
```text I want to create a practical spring-cleaning plan for my home.
My situation: - I live in a [one-story/two-story] home with [number] bedrooms and [number] bathrooms. - The main areas I want to address are: [list rooms or areas]. - I have approximately [number] hours available each week. - I want the house to feel noticeably cleaner by [date]. - My physical limitations or preferences are: [for example, avoid ladders, cannot lift heavy boxes, prefer short sessions]. - The areas causing me the most stress are: [list them]. - I already have these supplies: [list supplies]. - I do not want to buy specialized products unless absolutely necessary.
Create a spring-cleaning checklist that: 1. Breaks the work into sessions of no more than 45 minutes. 2. Starts with the highest-impact tasks. 3. Separates decluttering, cleaning, organizing, and tasks that may require another person. 4. Includes a short list of supplies needed for each session. 5. Gives me a realistic schedule for the next four weeks. 6. Uses simple checkboxes and plain language. 7. Includes a “good enough for today” stopping point for every session. 8. Flags any task that could be unsafe or physically demanding.
Do not give me general cleaning advice. Build the plan around the specific information I provided. If you need information that would materially change the plan, ask me no more than three questions first. ```
Why this prompt works: The strongest part is not the phrase “spring-cleaning checklist.” It is the information surrounding it. The prompt gives AI a home, a deadline, a time limit, physical constraints, priorities, and a preferred format. It also tells the system what *not* to do: offer vague advice or assume unlimited energy. The request for 45-minute sessions and a clear stopping point turns cleaning from an intimidating project into a series of manageable appointments with yourself.
Use Case 2 of 2
Use Case 2: Giving feedback to a team member
At 4:40 on Tuesday afternoon, Michael Chen opened a draft report from a team member named Laura and felt his stomach tighten. The report was late, several figures were incorrect, and the recommendations were difficult to follow. Laura was capable and hardworking, and Michael did not want to discourage her. At the same time, the report was going to a client the next morning. He had ten minutes before his next meeting and was tempted to write, “This needs a lot of work,” then fix the document himself. That would solve tonight’s problem but teach Laura very little. Michael needed help turning his frustration into specific, respectful feedback: what happened, why it mattered, and what should change next time. AI can help organize that message, but only if Michael supplies the facts and preserves his own judgment.
Here is the exact prompt to use:
Copy and paste this into ChatGPT or Claude:
```text Help me prepare respectful, specific feedback for a team member.
Context: - The team member’s name is [name]. - Their role is [role]. - The work I am reviewing is [describe the project or deliverable]. - The intended audience was [client, senior leadership, internal team, etc.]. - The deadline was [date and time]. - My relationship with this person is [manager, project lead, peer, mentor]. - I want the feedback to be delivered [in writing/in a conversation/both]. - My main goals are to correct the immediate problem and help the person improve next time.
Here are the facts: - What worked well: [specific examples]. - What needs to improve: [specific observable examples]. - The impact of the problem was: [missed deadline, confusion, rework, client risk, etc.]. - The standard or expectation was: [describe it]. - The change I need next time is: [describe the desired behavior or result]. - Any relevant circumstances I know about are: [include context, but do not excuse the problem unless appropriate].
Please do the following: 1. Separate observations from assumptions or interpretations. 2. Identify the two or three most important points. 3. Draft feedback in a calm, direct tone that does not sound harsh or vague. 4. Include one genuine acknowledgment of what worked. 5. Explain the impact without exaggerating. 6. State the expected change clearly. 7. End with one question that invites the team member’s perspective. 8. Provide both a short written version and a version for a five-minute conversation. 9. Do not diagnose the person’s attitude, motivation, personality, or intentions. 10. If my notes are too vague to support fair feedback, tell me exactly what information is missing. ```
Why this prompt works: It forces a useful distinction between what you observed and what you inferred. “The report contained three incorrect figures” is actionable; “you were careless” is a judgment. The prompt also names the audience, the impact, the standard, and the desired change, giving AI the ingredients for feedback that is fair rather than merely polite. Asking for two versions makes the result practical: one can be sent, and the other can guide a real conversation.