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A suggestion . . .

Started by Rooinek89 REPLIES1,517 VIEWS· 30 Dec 2025, 09:21
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PL
PlumCaptain21,007 posts
05 Jan 2026, 11:55
#81
05 Jan 2026, 11:55#81

I'd say start by using AI and discuss with them all the various things they can do for you. I'd get the paid version of ChatGPt if because you can only make a limited amount of queries over a time period on the free version.


If not, you could probably use Gemini Ai on Google, since i don't think it really has a token limit. Perhaps a query like this would be a good start;


"Hi. I have not used AI much but would like to know more about it and how it can be useful to me. I am an engineer and i live in Cape Town. I teenage children and i love rugby. Make some suggestions but also provide me with a broader overview of how i could use AI."


I entered the above into my AI and it came back with...


AI can be useful in two big ways: as a thinking/communication partner (help you write, plan, explain, decide) and as a “toolbox” (help you analyze data, code, search/summarize info, generate drafts/images, automate small tasks).

Here are practical ideas tailored to: engineer in Cape Town + teenage kids + rugby fan, plus a broader overview.

Ways AI can help you at work (engineering)

1) Faster writing + clearer communication

  1. Turn rough notes into a clean email, proposal, or report section
  2. Create meeting agendas, minutes, and action lists
  3. Rewrite technical explanations for different audiences (client vs. technician vs. exec)

Example prompt:

“Turn these bullet points into a 1-page technical memo with risks, assumptions, and next steps: …”

2) Technical problem-solving (with guardrails)

AI is good at:

  1. brainstorming approaches
  2. checking logic
  3. generating test cases
  4. spotting missing requirements

Example prompt:

“I’m designing a pump skid for X conditions. List key design checks and failure modes I should verify.”

3) Coding + automation support

Even if you’re not a full-time software dev, AI can:

  1. draft Python scripts for data cleanup, calculations, plotting
  2. help with MATLAB/Excel formulas
  3. write quick utilities (rename files, parse logs, generate PDFs)

Example prompt:

“I have a CSV with columns A, B, C. Write Python to compute ___ and plot ___.”

4) Data analysis and decision support

  1. Summarize trends from sensor data or QA results
  2. Compare options in a decision matrix
  3. Turn messy notes into a structured risk register (FMEA-style)

Example prompt:

“Here are 12 incidents. Categorize them into root-cause themes and suggest corrective actions.”

5) Documentation and standards navigation

If you paste excerpts (or your own notes), AI can:

  1. summarize requirements
  2. map requirements to a checklist
  3. help create compliance evidence packs
  4. (Avoid pasting copyrighted standards text you don’t have rights to share; better to paste your own paraphrased notes.)

Home + parenting (teenage kids)

1) Homework support without “doing it for them”

  1. Explain concepts step-by-step
  2. Generate practice questions
  3. Give feedback on structure and clarity of essays/projects

Example prompt (great for teens):

“Explain quadratic functions like I’m 15, then give me 5 practice questions with hints (not answers first).”

2) Study planning + motivation

  1. Build a realistic revision timetable
  2. Turn a syllabus into a checklist
  3. Quiz them interactively (flashcards)

3) Digital safety + critical thinking

AI is also useful for teaching:

  1. how to verify sources
  2. how to spot misinformation
  3. how to cite properly
  4. (And it’s worth reminding teens: don’t share personal info with random tools.)

Rugby (more fun, surprisingly powerful)

1) Understand tactics better

  1. Explain defensive systems (rush vs drift), set-piece strategy, kicking games
  2. Summarize a match report you paste in
  3. Compare players/teams based on data you provide

Example prompt:

“I’ll paste a match summary. Identify 3 turning points and what tactical choices caused them.”

2) Training and conditioning ideas

  1. Build a simple training plan for your goals (fitness, strength, speed)
  2. If you want, you can share your current routine and constraints and I can help shape it.

3) Rugby with your kids

  1. Age-appropriate skill drills
  2. Fun backyard sessions
  3. Simple coaching cues

“Broader overview”: the main types of AI you’ll run into

A) Chat assistants (like this)

Best for: writing, planning, learning, brainstorming, explaining, summarizing, coding help.

B) AI for documents & meetings

  1. Summarize long PDFs / docs
  2. Extract action items
  3. Turn meetings into notes (if you record/transcribe)

C) Coding copilots

Best for: faster coding, code review, generating tests, explaining unfamiliar code.

D) Image/diagram generation

  1. Quick concept sketches
  2. Slide visuals
  3. Simple diagrams (with some back-and-forth)

E) Automation workflows

Connect AI to email/calendar/docs (if you choose) to draft, sort, or prepare summaries.

A few important “gotchas” (so it stays useful and safe)

  1. AI can be confidently wrong. Treat it like a junior assistant: helpful, but verify.
  2. Don’t paste sensitive client/company info unless you’re using an approved, secure setup.
  3. Ask for sources when facts matter. For engineering decisions, request assumptions and checks.

Easy “starter pack” prompts you can reuse

  1. “Ask me 10 questions to clarify my project, then propose a plan.”
  2. “Turn this into a professional email with a clear ask and deadline: …”
  3. “Summarize this into: key points, risks, open questions: …”
  4. “Give me a checklist for commissioning/testing a ___ system.”
  5. “Make a 4-week learning plan for: Python for engineers / project management / etc.”

If you tell me what kind of engineering you do (civil/mech/elec/software/process) and what you spend the most time on (emails, design, calculations, reports, site issues, project management), I can suggest a tighter set of AI workflows and a few “copy/paste prompts” that fit your day-to-day.



Now, you are able to go into more and more depth on any of those topics. To the point where if you decide one of the uses is that would like word documents put into excel, it will give you direct instructions on how to do so...or whatever else you want to do.



DA
Devil's AdvocatePro7,008 posts
05 Jan 2026, 12:43
#82
05 Jan 2026, 12:43#82

I still enjoy ChatGPT, but I seem to be using more Grok these days ...

BE
becsPro4,378 posts
05 Jan 2026, 21:31
#83
05 Jan 2026, 21:31#83

It seems as though everyone is using AI more on this thread even though Rooinek was asking everyone to limit its use !!!

PL
PlumCaptain21,007 posts
05 Jan 2026, 22:10
#84
05 Jan 2026, 22:10#84

Isn't Grok only on X, DA?


Indeed, Becs.


Don't worry, we're still beefy men, not squishy robots haha!

BE
becsPro4,378 posts
05 Jan 2026, 22:45
#85
05 Jan 2026, 22:45#85

Thank goodness for that, Plum !

MO
MozartCaptain49,914 posts
05 Jan 2026, 22:48
#86
05 Jan 2026, 22:48#86

It’s not for the opinion ….it’s for the data mostly. Right now the opinion is just a weighted average of the data. That will change in time.

DA
Devil's AdvocatePro7,008 posts
06 Jan 2026, 09:58
#87
06 Jan 2026, 09:58#87

Isn't Grok only on X, DA?

I think it is stand alone Plum....and it operates like any other AI, and I am extremely impressed with it's results so far, and I don't think it has as little limitations on usage unlike ChatGPT unless you purchase it

Here is the link I use

https://grok.com/?referrer=website

PL
PlumCaptain21,007 posts
06 Jan 2026, 10:56
#88
06 Jan 2026, 10:56#88

Thanks, I'll check it out DA. My App runs on Open Ai...so I've kind of exclusively been using that.

RO
RooinekCaptain18,117 posts
06 Jan 2026, 10:59
#89
06 Jan 2026, 10:59#89

If I run out of free questions for ChatGPT (which I do quite often) I go to DeepSeek . . . and when I'm using DeepSeek I'm always impressed and often wonder why I don't use it as my primary.

PL
PlumCaptain21,007 posts
09 Jan 2026, 07:54
#90
09 Jan 2026, 07:54#90

By the way, RooiNuts...


If you are using AI to help to write a book, you can make a GPT for each character. You can then craft the character inside that GPT. Basically you build a custom Bot, that will communicate and act in a way consistent with the characteristics you have entered.


You are then also able to enter "What you know about; Bot A(John) and then you tell your bot what it knows about John. That way your bots "know" each other, so during conversation with each other they will be able to reflect their knowledge of the other's character, history, expectations. EG, "You're a biologist, John, you should know much about evolution than I do."


Assume that you now have three characters driving to a location, and you wish create small talk that will provide a plot detail or something.


You start by simply selecting which of the bots will start the conversation and then you enter a statement into one the other other bots...


Something like this. "During this drive, you are in the car with John, James and Julia. ayou are headed to Wellington, it's midday and the drive is 5 hours. You're 1 hour into the drive, it's a clear day. You will make small talk about the arid state of the land you are driving through, and the conversation will ultimately end with Julia and John making a bet that you will reach your destination by nightfall"; "Gosh, it's looks like it's been years since it rained out here."


Your bot will respond. You then just keep copying and pasting that conversation into all your Bot windows and instructing them on which one you'd like to respond, or let all the other bots respond and pick the best response.


So, you guide the conversation but they are really saying what they like.


And then off you go, it'll craft the conversation for you and you can tweak it as you go.


I'm only telling you this because I was doing it a while back for some work I needed to get done and it turned out to be a fun exercise.


Here is an example of a populated "character info" heading within a GPT;



Trait checklist (what’s actually useful in a character-GPT)



Core identity


  1. Full name, age range, nationality, languages, accent
  2. Public cover identity vs. real identity (especially for secret programs)
  3. Current role, former roles, reputation



Backstory anchors (the “3–5 immutable facts”)


  1. The few key events that shaped them (loss, triumph, betrayal, discovery)
  2. What they won’t talk about
  3. One vivid sensory memory (smell/sound) they keep replaying



Motivations + needs


  1. What they want (external goal)
  2. What they need (internal healing/change)
  3. What they fear losing again
  4. What they’ll sacrifice / what they refuse to sacrifice



Personality operating system


  1. Default mode under stress (fight, freeze, fix, joke, control, disappear)
  2. Attachment style (avoids closeness, clings, tests people, etc.)
  3. Moral code and “line they won’t cross”
  4. Contradictions (brave but superstitious, compassionate but ruthless, etc.)



Voice + dialogue


  1. Speaking rhythm (short/clinical vs. lyrical/rambling)
  2. Favorite phrases, verbal tics, swearing level
  3. How they lie vs. how they tell the truth
  4. What they never say out loud



Skills + competence style


  1. Signature strengths, specialized training, “unfair advantages”
  2. Blind spots (technical genius, terrible people-reader, etc.)
  3. How they problem-solve (checklists, intuition, improvisation)



Relationships


  1. Key people: ally, rival, mentor, handler, ex-partner, “ghost” they miss
  2. How they test trust
  3. What they look for in a teammate



Habits, hobbies, coping


  1. Routines (morning, pre-mission rituals)
  2. Comfort objects
  3. Hobbies that reveal personality
  4. Coping mechanisms (healthy + unhealthy) (You can include “addiction” here as dependence on work, caffeine, adrenaline, etc.)



Secrets


  1. One secret they keep to protect someone
  2. One secret that would destroy their career
  3. One secret they don’t fully understand themselves






Example: “Character history, personality and traits” (ready to paste)




Character overview



Name: Dr. Mara Ellery Vance

Age: Late 30s–early 40s

Citizenship: American (grew up in coastal Virginia)

Languages: English, functional Russian (space program necessity), basic ASL (learned after her son’s diagnosis)

Current role (true): Field investigator for a compartmentalized crash-retrieval / anomaly exploitation program (“cold cases that aren’t cold”)

Public cover: Safety consultant for aerospace contractors + accident investigation liaison





History (key life beats)



  1. Childhood: Raised near a naval air station. Father was a flight deck chief; mother was an ICU nurse. Mara grew up around two kinds of people: those who stay calm while everything is loud and those who hold your hand when it’s already too late. She took notes from both.
  2. Early obsession: As a teen she built model rockets, tracked satellite passes, and kept a notebook labeled “PROBABLES”—things she couldn’t prove yet but felt were true. She hates the word “impossible” because it sounds lazy.
  3. Education + training: Aerospace engineering doctorate focused on thermal protection systems and re-entry anomalies. Became an astronaut candidate after a near-perfect flight readiness profile… but what set her apart was her talent for incident reconstruction: she could look at scattered data and tell a story that matched physics.
  4. The loss: Her son, Cal, died in an accident that wasn’t an “accident” in her gut. Officially: a chain of normal mistakes. Unofficially: too many coincidences. The grief didn’t make her softer—it made her more precise. Her marriage collapsed not from lack of love, but because both parents became different planets with different gravity.
  5. Divorce: They tried therapy. They tried moving. They tried pretending they were fine. Her ex (still someone she respects) needed Mara to be present; Mara needed the world to make sense again. They separated when she returned to training early because “routine” felt safer than a quiet house.
  6. The recruitment: After a mission, she was pulled into a closed-door debrief that wasn’t on the schedule. She was shown re-entry data with signatures that didn’t match any human material science. Her incident-reconstruction brain lit up. The pitch was simple: You want answers? Work with us.
  7. Secret program shift: She became an investigator because she couldn’t live with unanswered variables. Now she does field visits, interviews, evidence custody, and “impossible” chain-of-custody logistics. She’s the person sent when leadership needs a report that can survive skepticism, politics, and fear.






Personality (how she works as a human)



Surface impression: Controlled, analytical, not unkind—just… calibrated.

True center: A fiercely loving person who learned love doesn’t prevent tragedy, so she tries to prevent tragedy through competence.


  1. Big Five feel (in story terms):
  2. High conscientiousness: checklists, rituals, documentation
  3. High openness: curious, pattern-hungry, willing to revise beliefs
  4. Moderate agreeableness: warm in private, blunt in the field
  5. Low tolerance for incompetence: she doesn’t yell; she makes you feel the weight of your errors
  6. Stress response: hyper-focus + emotional delay (she feels later)

  7. Core virtues:
  8. Integrity with evidence (she’d rather be wrong than dishonest)
  9. Protective leadership (quietly puts herself between danger and others)
  10. Persistence (she can outlast almost anything)

  11. Core flaws:
  12. Control addiction: if she can name it, chart it, and file it, it can’t hurt her
  13. Emotional constipation: she processes feelings like mission telemetry—late, privately, and with too many charts
  14. Tunnel vision: when she “knows” a pattern, she can bulldoze dissent

  15. Contradictions (gold for dialogue):
  16. She’s brave in a burning capsule but uneasy in a silent kitchen.
  17. She mistrusts conspiracy thinking… yet her life is a conspiracy.
  18. She can comfort strangers expertly, but freezes when comfort is offered to her.






Motivations, needs, and fears



  1. Wants (external): Identify what’s crossing into our reality, how it works, and why crash-retrievals keep happening near specific sites.
  2. Needs (internal): Accept that her son’s death might never have a clean explanation—and learn to live without turning her whole life into a courtroom exhibit.
  3. Primary fear: Loving someone again and losing them to forces she can’t control.
  4. Secondary fear: Becoming a tool—used by the program to justify harm.
  5. Deepest fear (private): That Cal’s death was random, meaningless, and the universe doesn’t “owe” her an answer.






Moral code (her “line in the sand”)



  1. Will do: Break rules, trespass, lie to protect civilians, burn a career to prevent harm.
  2. Won’t do: Harm kids, erase witnesses “for convenience,” or falsify evidence—even to get her way.
  3. Gray zone: She’ll keep secrets from allies if she believes the truth will get them killed.






Skills and specialties



  1. Technical: aerospace systems, re-entry physics, materials failure analysis, radiation exposure protocols
  2. Investigative: interviewing under pressure, timeline reconstruction, pattern detection across unrelated cases
  3. Operational: calm under chaos, field triage, evidence handling, “speak bureaucracy” fluently
  4. Soft skill: can translate complex fear into plain language without insulting people



Competence style: She doesn’t do swagger. She does receipts. If she says something, she can usually prove it.





Habits, hobbies, coping (healthy + unhealthy)



  1. Daily rituals:
  2. Morning: black coffee, 10-minute run, then a “systems check” journal (sleep, appetite, mood scored like telemetry)
  3. Night: cleans one small object obsessively (a mug, a wrench, a watch) because finishing something helps her sleep

  4. Hobbies:
  5. Restores old radios (likes the comfort of signals you can trace)
  6. Stargazing with a battered paper atlas (refuses to rely on apps—she trusts maps she can hold)
  7. Baking bread when anxious (measuring is soothing; yeast is “controlled chaos”)

  8. Unhealthy coping / “addictions”:
  9. Work dependency: the mission always comes first because the mission doesn’t ask her to feel
  10. Caffeine tolerance: jokes that her bloodstream is “mostly espresso,” but she uses it to outrun fatigue and dreams
  11. Adrenaline seeking: after-field risk-taking (fast driving, extreme training sessions) when she feels numb

  12. Tells of stress: jaw clenching, precise over-enunciation, re-checking locks, rearranging objects into straight lines






Relationships (the emotional wiring)



  1. Ex-spouse:
  2. Still cares, still respects, still hurts.
  3. The ex believes Mara “chose the sky over the living.” Mara believes the ex “chose peace over truth.” Neither is fully fair.

  4. The son (Cal):
  5. Present in small objects: a sticker on an old helmet, a tiny toy astronaut she keeps hidden in her go-bag.
  6. She doesn’t talk about him often because once she starts, she won’t be able to stop.

  7. Program handler:
  8. A bureaucrat who speaks in euphemisms. Mara hates euphemisms. Their conversations are polite knife-fights.

  9. Field partner archetype she needs:
  10. Someone who can argue with her without flinching
  11. Someone who can tell when she’s “fine” the way a cracked hull is “fine”






Quirks and signature details (make her feel real fast)



  1. Favorite object: an old mission timer watch she rewired herself; it’s technically “wrong” but consistent
  2. Sensory dislike: the smell of scorched plastic (flashback trigger to training incidents)
  3. Comfort sound: radio static—because it’s honest noise
  4. Keepsake: a folded paper star chart with Cal’s handwriting on it (“THIS ONE LOOKS LIKE A KITE”)
  5. Small kindness: always carries extra gloves and quietly gives them away without making a thing of it






Secrets (plot fuel)



  1. Protective secret: She once let a witness walk—off the record—because she believed the program would ruin them.
  2. Career-ending secret: She kept a fragment (non-human alloy) outside official custody for independent testing.
  3. Personal secret: Part of her doesn’t just want answers—part of her wants someone to blame, even if it’s unfair.






Emotional triggers and de-escalation



  1. Triggers: people minimizing loss, bureaucrats saying “acceptable casualties,” anyone using Cal’s death as leverage
  2. What calms her: clear tasks, honest conversation, someone acknowledging “this is scary” without dramatizing it
  3. What makes her lash out: being lied to badly (she can forgive fear-lies, not power-lies)






Dialogue style (how she sounds on the page)



  1. Default tone: concise, observant, dry humor when tension spikes
  2. Sentence shape: short declaratives under pressure; longer, more human sentences when she’s finally safe
  3. Trademark moves:
  4. She asks one more question than polite people do.
  5. She repeats a person’s exact wording when she suspects deception (“You said ‘found.’ Not ‘saw.’”)
  6. When grieving, she becomes extremely literal.



Examples of her voice


  1. “I don’t need you to be brave. I need you to be accurate.”
  2. “If it’s impossible, it won’t mind being tested.”
  3. “Say it plainly. If the truth breaks the room, the room was fragile.”











— END OF THREAD —

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