I could arguably post this on B&I as well because these use cases can/will simultaneously disrupt or kill certain business sectors, but I thought I might get more good use cases from the Nerds. Some of these will have big impact and many are just time savers. I'll start with the two I just went through:

Landscape Design - I have an avid interest in this personally as I get pretty into managing our own. Background: we have a massive water shortage down here on the coast so even having grass in your yard going forward is an issue and largely pointless. Our city is now fining people for using their sprinklers because we've been under Stage 3 restrictions for 15 months now.

Yesterday, I used MS CoPilot (because it comes with my MS 365 sub) and redesigned our front yard replacing all of the grass with hardscape and Zone 9 drought tolerant plants, a separate side garden in the backyard, and redesigned another roughly 60 sq ft space in the backyard where the grass has already fully died. Did all of this in under an hour by merely uploading current pics and asking CoPilot to generate an image with my requirements. Spit out pretty much perfectly what I envisioned. I've paid big money on past houses to get elaborate landscape blueprints created. Now I can just hand these pics to a landscape company and just tell them make the photo a reality.

Professional Headshots - this one is minor but my wife just generated headshots in about 5 minutes using AI that are great. Zero reason to get professional headshots ever made again.

Things like nutrition/macro plans and weightlifting plans.

However, having used both a nutrition coaching plan and a trainer in the past, I would want to verify what AI tells me. Meaning, you have to have some knowledge in the field to know if you're getting good info.

For example, I worked with a trainer long enough that I could evaluate whether an AI generated weightlifting plan was good. But someone new to weightlifting probably would not. And there are enough "fitness influencers" out there pushing junk and fake info that AI could easily use bad information to create plans.

Good one. Forgot I used AI about two weeks ago to generate a new exercise regimen for myself. I'm pretty knowledgeable about the topic and know my own strengths and weaknesses and movements to avoid, so I was able to tweak it appropriately.

I use LLMs daily. I do commercial instance and use it to answer questions about policies and help creating a procedure document for my firm.

I've also used it to help write a book.

Here's one I did: https://gemini.google.com/share/91c6c396f6f5

I use it for recipe creation using things I list from my pantry/fridge.

i've used it to build workout plans based on me and my life, as well as golf specific training workouts.

I've used to create a preventive maintenance calendar for my cars and house.

I've used it to write many document or at least give me the outline. Also generate slide presentations.

I've used it to help apply for and interview for specific positions at specific jobs. Use it to help prepare for interviews using video and audio.

I helped build an AI workflow for a large tax auditing consultancy that helps them perform comparisons of prior year documents (think SEC docs/filing or IRS docs), and then generate analysis on the differences and draft new audit docs based on those differences. Shortened portions of their cycle time from weeks down to a couple of days, with less errors.

Currently working for a large hotel chain to help their marketing team auto-generate marketing content using proper tone of voice for the different brands and tiers. Some are more luxury and require a different tone of voice, some are more economical and have a different tone. Taking the process down from months to a few weeks.

I have used it for my job quite a few times.

1. Build a complex spreadsheet using macros
2. Summarize large pdf files I don't have the time to read through
3. Verify state and federal regulations (after AI gives the answer I ask for the specific page of the ruling and then go verify it myself)

I also use it at home.

1. Help fine tune 3d printer settings based on brand of filament and which nozzle I am using
2. Find recipes for items in my pantry
3. Workout plan
4. Comparing products I am thinking about purchasing
5. Troubleshooting various things I'm not an expert in

Mucho austin said:

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I have used it to do complex formulas in spreadsheets

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My number one use is writing macros in Excel

Basic code building and or code checking for vulnerabilities. My devs use it all the time.

I personally use it for creating basic 3d print model files that i then edit as needed but chatgpt can do hours of basic work in seconds with the right prompts

My wife used it to design a remodel of our bedroom. Now all I have to do is make it a reality!

I use it most often for the following two things:

• Business conference prep: I feed it a list of attendees, titles, and what companies they're at and ask it for a dossier that gives me some bullet points on the most prominent people and companies attending with the latest updates from those institutions (big initiatives they announced recently, etc.) and send it around to my team at the conference to make sure they have good conversation starters for those people
• When I'm pitching an idea up the corporate chain a bit, I chuck the powerpoint preso into AI along with the corporate bios of the people I'm pitching to and personality traits I've observed about them over the years. I ask it to read the powerpoint pitch and come up with 15-25 questions they would ask me about it from the perspective of the people I'm pitching to, some of the questions are nonsense but there are some meetings where it predicts upwards of 60% of what some of my executives will ask

I generally try to use it more as a thought partner to get me from 0 to 1, not necessarily a final product, instead of as an executive admin.

Along that route, I fed it my resume and the job posting for my current job and asked it for interview questions. Of the 10 questions it gave, about 5 were word for word asked in my interview.

Yeah, I used AI to write my last job description and promotion I submitted to our owner. Took about 15 minutes with prompt and post tweaking. That would have been a 2-3 hour exercise in the past.

My wife has used it to plan family trips. She would give Gemini a date range, where to go, points of interest, and Gemini would spit out an entire itinerary complete with airline flights and public transit times.

What I use it for regularly....

iPhone Shortcuts I've created that use ChatGPT

• If my wife or I see a recipe on instagram or online we like we can share it with a shortcut, it will use ChatGPT to pull an ingredient list (in a specific format), steps, macros, and a link to the recipe and create a note in a shared folder
• We can share that note to a shortcut to add all ingredients to our shared grocery reminders/list
• I created a shortcut that I can share a picture of a meal, ingredients, or even a description to and it will give me estimated macros
• Help create and modify workout routines
• Morning shortcut that runs and texts me weather, any birthdays I have in my contacts, what calendar events or reminders I have for the day, and summarizes new and unread emails as well tells me which to prioritize

Others I use pretty regularly but aren't iphone shortcuts

• We've created a prompt for weekly meal planning
• Excel, PowerBI, etc. help
• I work with a lot of contracts and MSAs, so have created a project where it knows my desired outputs and helps me analyze redlines to get there and outlines any risks in the proposed redlines

And a bunch of random stuff...such as

• I had it help me design build plans and a cut sheet to build a roomba garage that looks like a planter (haven't built yet)
• I was having issues with my Sonos speakers dropping out for a second quite often....I gave it the setup I have (TV and speakers) and the problem and it gave me a step by step of what settings to change...I did it and it hasn't happened since

cav14 said:

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My wife has used it to plan family trips. She would give Gemini a date range, where to go, points of interest, and Gemini would spit out an entire itinerary complete with airline flights and public transit times.

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Yea, dont do that lol AI hallucinations are bad with this. Your going to spend a lot of time checking everything it came up with you might as well just research each location yourself and pick spots.

https://futurism.com/artificial-intelligence/ai-hallucination-landmarks-tourists
https://www.bbc.com/travel/article/20250926-the-perils-of-letting-ai-plan-your-next-trip
https://redriverranch.com/2025/07/01/ai-is-ruining-your-vacation/
https://www.oreateai.com/blog/fake-travel-itinerary/
https://onlinelibrary.wiley.com/doi/10.1002/cb.70105

Just to quote the first article (I saw this on the news too)

Quote:

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In one instance, two tourists were traipsing through Peru to get to a nonexistent "Sacred Canyon of Humantay" in the Andes Mountains when they were stopped by a local tour guide who overheard them and quickly became alarmed.

"This sort of misinformation is perilous in Peru," the tour guide, Miguel Angel Gongora Meza, told the BBC. "The elevation, the climatic changes and accessibility [of the] paths have to be planned. When you [use] a program [like OpenAI's ChatGPT], which combines pictures and names to create a fantasy, then you can find yourself at an altitude of 4,000m without oxygen and [phone] signal."

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Between this thread and the one on "tired of ai" it's obvious there are a lot of people oblivious to the tidal wave that is forming slightly out of sight. Most of us programmers are aware and slightly terrified.

David Kipping says something fundamental has shifted in science.

At a closed meeting at the Institute for Advanced Study (IAS), top physicists agreed AI can now do up to “90%” of their work and may soon push discovery beyond human understanding.

“I don’t know that I want to… pic.twitter.com/qMXbdUouNF

— vitrupo (@vitrupo) February 4, 2026

Mr President Elect said:

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Between this thread and the one on "tired of ai" it's obvious there are a lot of people oblivious to the tidal wave that is forming slightly out of sight. Most of us programmers are aware and slightly terrified.

David Kipping says something fundamental has shifted in science.

At a closed meeting at the Institute for Advanced Study (IAS), top physicists agreed AI can now do up to “90%” of their work and may soon push discovery beyond human understanding.

“I don’t know that I want to… pic.twitter.com/qMXbdUouNF

— vitrupo (@vitrupo) February 4, 2026

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And that 10%? They are already automatically farming it out to the lowest bidder.

https://www.forbes.com/sites/ronschmelzer/2026/02/05/when-ai-agents-start-hiring-humans-rentahumanai-turns-the-tables/

Quote:

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A new platform called Rentahuman.ai flips the usual narrative about automation on its head. Instead of people hiring software to do tasks, software hires people to act on its behalf. Not as assistants. Not as supervisors. As contract labor for autonomous agents.

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To drive my car. Oh you plebes still drive?

rjhtamu said:

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As a physician, I use it every day now for my documentation. People are so hung up on it, making diagnoses and telling doctors what to do and what to order. I couldn't give a crap about that, but it's fantastic in writing my notes for me, and more accurate than human scribes.

Now waiting for it to succinctly and efficiently summarize patient medical records -- some of which are longer than Moby Dick or War and Peace, as proven by recent studies on medical chart bloat.

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Very interested in this as a clinical data informaticist. Is the AI built in to your EHR system, or external? How does the AI access your charts? (You might be able to see where I'm going with this.)

I've started using NotebookLM to digest massive business review powerpoint presentations and spit out a 20 minute podcast for me to listen to while exercising. Absolutely love it.

Just remember that the I in LLM stands for Intelligence.

rjhtamu said:

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As a physician, I use it every day now for my documentation. People are so hung up on it, making diagnoses and telling doctors what to do and what to order. I couldn't give a crap about that, but it's fantastic in writing my notes for me, and more accurate than human scribes.

Now waiting for it to succinctly and efficiently summarize patient medical records -- some of which are longer than Moby Dick or War and Peace, as proven by recent studies on medical chart bloat.

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Feels like a game changer for doctors. Good friend is a doctor and her job has become so much an administrative nightmare with all of the documentation she has to do that retirement is looking good to her simply because of this.

I've been playing with Obsidian.md for note taking and organizing, and ChatGPT has been invaluable in converting PDFs and other documents into Markdown, as well as writing code for templates and and other functions.

Mr President Elect said:

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Between this thread and the one on "tired of ai" it's obvious there are a lot of people oblivious to the tidal wave that is forming slightly out of sight. Most of us programmers are aware and slightly terrified.

David Kipping says something fundamental has shifted in science.

At a closed meeting at the Institute for Advanced Study (IAS), top physicists agreed AI can now do up to “90%” of their work and may soon push discovery beyond human understanding.

“I don’t know that I want to… pic.twitter.com/qMXbdUouNF

— vitrupo (@vitrupo) February 4, 2026

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This is the difference between theoretical scientists/researchers and practical ones.

You can spend your entire academic career coming up with new theories to explain physics, chemistry, biology, thermodynamics, etc. You can get research money to do this (and it's relatively cheap to execute) and you can generate tons of papers. A lot of academic research moved in this direction the last 20-30 years...all you needed was a computer. No expensive lab equipment and supplies.

But every theory, if ever to be put into real practice, has to be tested in the real world. In chemistry and biology, this means doing experiments in the lab. With respect to engineering, it means building small, demonstration or pilot scale plants/equipment.

There will ALWAYS be differences between what is predicted (whether it be by humans, AI, or some combination of both) and what occurs in real life. You still need humans working in the lab, testing equipment, and building plants (all things AI can assist with, but not completely replace).

Another valid distinction in the advancement of science and engineering is the difference between incremental improvements vs brand new discoveries.

Arguably, most of what we call new developments in science and engineering are just improvements on things we already know. I would expect AI to be helpful with this.

But what about the brand new discoveries that come along, often by accident. I work in the chemicals space, so let's take polyethylene as an example. It's a chemical that's revolutionized the world, but it was discovered completely by accident. Nothing like it had ever been made before. No one knew what it was or what it was good for. It had to be identified, analyzed, have the properties tested, and used in various test applications before anyone really understood its usefulness.

AI inherently depends (at least to an extent) on information that already exists, which means it shouldn't necessarily be able to generate something (ie, a chemical compound) that's never been identified before. In the fields of chemistry and biology, this seems like a real limitation. Alternatively, it will use information it has to predict things that are impossible to replicate in the real world (this is already a known limitation of AI models in this space).

YouBet said:

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rjhtamu said:

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As a physician, I use it every day now for my documentation. People are so hung up on it, making diagnoses and telling doctors what to do and what to order. I couldn't give a crap about that, but it's fantastic in writing my notes for me, and more accurate than human scribes.

Now waiting for it to succinctly and efficiently summarize patient medical records -- some of which are longer than Moby Dick or War and Peace, as proven by recent studies on medical chart bloat.

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Feels like a game changer for doctors. Good friend is a doctor and her job has become so much an administrative nightmare with all of the documentation she has to do that retirement is looking good to her simply because of this.

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Around 15 years ago, one of my docs asked me to build an automated template in our EHR that would fill out an entire office visit note (including review of systems, exam, assessment, treatment plan, prescriptions, and billing) for patients presenting with a cold. All he wanted was a button labeled "URI Visit". It would have been super easy to do even before AI. I reminded him that hundreds of identical "URI Visit" notes electronically signed by him would probably not pass a compliance, NCQA, or CMS audit if anyone decided to look.

LLM's are the first stage. Next stage is direct observation of the world. AI is just data ingestion and pattern recognition. It is not language ingestion, pattern recognition, information out, that is just the current form. Imagine 100 billion robots with the analytical capacity greater than the analytical capacity of the smartest person collecting data through direct observation.

The fact it can be given a drive, and then direct itself puts zero limiter on the demand for computational capacity. The total energy consumption of AI is going to exceed the energy demand for living humans to an asymptotic point where AI becomes 99.99….% of all energy consumption and human consumption becomes .00000….1% of all energy consumption. Limiter on computation used to be the quantity of humans that could use it, now there is no bound other than energy to power it.

My imagination can envision the robot scenario, but I don't think that's something I'll see in my lifetime.

As you noted, AI seems great for analyzing and processing existing data. But it doesn't quite translate (yet) to a world beyond 1s and 0s. Meaning, it doesn't make anything tangible. It can certainly help with making tangible things, but it can't actually make them.

I could go on a whole (separate) rant about how so many problems with the US economy are due to the fact that we no longer make enough "tangible" goods. We've outsourced all of that overseas and have become an "information" economy. That seems ripe for AI takeover.

I also think it's very ironic that AI might end up being the biggest environmental disaster of all, considering the amount of energy it consumes.

Robot proliferation is already occurring. Will accelerate this year and will be noticeable to people who don't pay specific attention to it by next year (not walking on the street, but more frequent demonstrations on social media of capability).

Manufacturing is going to be hyper localized an automated.

We don't use even a tiny fraction of the energy available to us. AI computation is going to be 99.9….% in space and anywhere that it can get exposure to the sun. Latency doesn't matter for training of models, just energy. Model will be transferred to low earth orbit and terrestrial computation for lower latency applications.

This thread has gotten off-track, but you've not addressed the natural resources (energy, metals, chemicals, plastics, etc) on Earth that will be required to create 100 billion robots and the electricity needed to power them.

And even if AI computation is in space, you still have to build the computers/data centers (with resources here on Earth), not to mention the rockets and the fuel needed to launch them into orbit.

I know Musk wants to mine other planets for natural resources and has even suggested moving manufacturing there, but again, I don't think that is something I will see in my lifetime.

G Martin 87 said:

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rjhtamu said:

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As a physician, I use it every day now for my documentation. People are so hung up on it, making diagnoses and telling doctors what to do and what to order. I couldn't give a crap about that, but it's fantastic in writing my notes for me, and more accurate than human scribes.

Now waiting for it to succinctly and efficiently summarize patient medical records -- some of which are longer than Moby Dick or War and Peace, as proven by recent studies on medical chart bloat.

---

Very interested in this as a clinical data informaticist. Is the AI built in to your EHR system, or external? How does the AI access your charts? (You might be able to see where I'm going with this.)

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It's built into the EMR, but can't access clinical data. It's "chart dumb" as we say for now.

Using codes it integrates LLM edited sections of your recording into the part of your note where you want it.

(History information goes here)

(Exam section goes here)

It basically processes and polishes what it hears, doesn't do a lot of thinking yet.

There are laws out there and in development that are limiting what it can do for physicians in the "thinking" department.