How are you using ChatGPT internally at your company?

I’m a company of one, and I use it every day, multiple times a day as a coding assistant. I’m using the excellent Code Genie (sp?) plug-in to VSC which puts a chat window directly in VSC and does cool things like allow you to highlight blocks of code and ask contextual questions / refactors / bug checks, etc.

I would say my efficiency is up ~20% since starting to use it, and my Google searches & StackOverflow visits are probably down 80-90%. At least with respect to this corner of the internet, they are both in mortal danger.

I'm wearing a lot of hats at the moment since we're still in startup mode so the list is pretty varied:

- I ask it to create list of questions that different personas might want to answer with our reports section. I then ask it to categorize those questions & to then provide suggestions for graphs & dynamic filters that would help answer those questions.

- I ask it for help translating emails and documents for international customers.

- I ask it to create markdown, formatted spec documents with really verbose context. Helps me as sort of a foundation for feature sprint kickoffs.

- I ask it to take internal documentation and to simplify it so that we're able to use it for public facing help center documentation.

- I use it as my first resource for asking questions about SQL queries, React patterns, explaining different things eg SVG properties and how to manipulate them. I gut check things with Google when I feel like it might be hallucinating but generally it does really well ~ 90% of the time. Saves lots of time compared to going to Google first.

- I ask it for help writing tests or help refactoring code

- I asked it for help in creating some policy & procedures docs that we needed for compliance. Essentially gives you a decent template to then build from & customize.

- Lots of other things. It replaced Google for so many things in my daily workflow. It also helps a lot when you're not feeling creative and you need some ideas.

I don't use it, it returns mostly incorrect code that makes me realize it's not worth it. I'm more productive and write better code ignoring ChatGPT 95% of the time.

We use it a lot at my job. A lot of tasks that used to hour long minor tasks are great for generating with ChatGPT and getting them done in a few minutes

Prompts like these

1. Generate me a build pipeline using GitHub actions that builds a java project with docker and posts JUnit test results to a PR

2. Write me a python program that copies all the Cloudwatch dashboards my production AWS account, replace all the instances of the word ‘prod’ and replace with ‘qa’ and and post the results to this AWS account.

These are two things I’ve done recently that aren’t particularly enjoyable but necessary parts of any software work.

I'm not in tech like most of y'all. I help out my dad with his consulting company for mostly public agencies. The other day a group we're working with wanted my dad to write some media notes for the unveiling of a project that's been in the works for a while. I gave chatgpt a quick prompt of what the project is, who the audience is, how it's important for a certain demographic and for the community, etc. My dad edited it and sent it over to the leader of this group for his speech the next day. Even though it was edited, I laughed because a chatgpt quote that wasn't edited made it on to the government's website for a pretty big announcement.

Other than that I used it this morning while editing a report we hired a team to create. It was helpful to reword some sentences that weren't very clear before sending it off to the client.

Other than that, I mostly use it to brainstorm ideas/give me related concepts to something I'm working on.

Also, not work related, but last week I used chatgpt to create an opening message for a dating app. I knew the gist of a joke I wanted to say related to this woman's interests, but had chatgpt word it for me. There was a lot more to our conversations, but she did at least respond to the opener and we got the conversation rolling. We actually went on a date this weekend, where I had to rely on my own brain's inefficient language model! It went pretty well though.

Extremely good at turning JSON into a Go struct. Just in general, as someone who has spent years writing Python, it’s helped me fill in gaps with Go. This is a killer feature for GPT.. if you’re proficient in one language it can help you rapidly get up to speed in another.

Working for a large international company I use ChatGPT mostly as a code generator for one time tools (for a variety of languages and shells) and also to generate boilerplate text for email answers and document templates. I'm looking at this form a technical perspective and anything that can help my creative side be a bit better is good. A 2023 way of the rubber duck method of debugging, or a 2023 method of generating "manager speak".

We have had strict instructions not to put any code/email/text into ChatGPT, just use it as a virtual person to talk to and get ideas from.

But: the moment ChatGPT v4 can run on-prem in my private cloud things will be going to be wild. One advantage of working in a large multinational is that for everything there is a procedure or a standard. I have 25 years of design documents, source code, test documents, user documents, and a ticket system with 25 years of problems & answers how each ticket was resolved. The moment I can feed that into my local ChatGPT instance the whole helpdesk/support system will dramatically change. I'm optimistic on the timeline: I think that within the next 2 to 3 years all commercial ticket tracking systems will have their own ChatGPT-like back-end.

Yes. It is a good clue engine. If I can’t solve a problem it will give me something to try. Sometimes misses the mark. Sometimes finds something I hadn’t thought of.

Also great for asking how to in Python questions and explaining ML concepts. Danger is I wont learn Python properly but just remember the prompts!

I try to use it as often as possible as a rubber duck. It feels sort of like pair programming with someone who has a pretty good idea of how most common libraries work, but where the details are fuzzy and a bit outdated.

The HR team uses it all the time to generate initial drafts for job descriptions and the like.

A member of the product team pointed our API documentation at it and asked it to write a simple query. 99% of the code was correct, except it used the wrong header for authentication. Lo and behold, that was something we hadn't documented very well!

We did an employee survey a few months ago on who was using AI tools and how, and I'm confident that usage has gone up significantly since then. I know mine has.

For a personal project, I used ChatGPT to help create a little design tool in P5.js to find balanced arrangements of 5 magnets for a new rotary magnetic bow design. (drag the vertices of pentagon) https://editor.p5js.org/spDuchamp/full/zgtkE2xik

Here is the final 3D printed wheel that balances beautifully. https://twitter.com/CommonStef/status/1654663207707979776?s=...

This is a project that I've been totally stuck on for a quite while and it was a breeze to finish with the help of ChatGPT. Using ChatGPT to make quick little design tools in P5.js is a total game changer for me.

I use ChatGPT for a wide variety of tasks throughout my day, but my favorite use case is generating one-off utilities quickly. A recent example of this was when I needed to move and reorganize approximately 1 million files from one hard drive to another over a six-week period. Unfortunately, the destination hard drive began to malfunction – I could access metadata, but file transfers to and from the drive would fail almost immediately.

With ChatGPT's assistance, I was able to create a utility that scanned the 1 million+ files on the faulty destination drive and then re-copied those files from the original source drive to a new destination drive, all while maintaining the updated directory and file structure.

Not allowed, because the privacy is non-existant, the licensing is questionable, Microsoft sees everything, and the responses are often wrong and require more work to verify. The risks are greater than the reward.

ChatGPT is the bomb. I use it to create content, to help me find weird words, to help me find films that I totally don't remember the name of but just describe one scene that I remember, just the other day, I needed to find out how to pound nails into my office walls, but my fingers were too big to hold the nail so I asked for a solution using common business items and it listed 10 of them and one of the solutions was to use a rubber band to hold onto the nail which I did and it worked like a charm. I was trying to jury-rig something, but couldn't think of anything. It thought up 10 solutions in 10 seconds. So I didn't have to fiddle fuck with it for 45 minutes, only to give up and have wasted all that time.

I'll ask what kind of electronic equipment to buy. So many things.

I have found a lot of bugs with it, too, though, so I'm getting educated. For example, at least for me, I will ask for a citation of something, and it just gives me urls that to to 404. Never once have I got an actual real citation. So I'm careful about that.

There have also been many funny things, to me, that I have asked and got weird responses that amused me.

We are in content business and one product is in the SAAS. We are using below AI products - ChatGPT - It's good for coming up with creative SEO Title, and checking grammer.

Chatbase - We recently started using GPT based support and seeing good results, users are interacting with the bot more.

AnySummary - A nice tool to upload any file in any format and chat with it, authors are using it to write articles from podcast and videos, Saving them a huge amount of time.

OpenTools AI - A website to find out new AI tools, my team always keep checking this site to find out new tool which can reduce the cost and time.

MidJourney - All of our images in the articles are from MJ now.

Hope this helps other.

ChatGPT is my new teammate! Well, sort of...

I hadn't coded in ages. I started a hobby project to see whether I could remember enough to "set up a cute chatbot over email" with ChatGPT's API.

At some point, ChatGPT asked me what added value users would get from the project. That was an interesting question!

It was also an excellent example of how this project became more of a collaboration instead of a one-way street of asking ChatGPT to do stuff. The back-and-forth brings in added value beyond each of our contributions.

So we (the AI and I) decided to document this collaborative journey on the project. So far, we've worked on:

1. Planning the project and pieces of it: excellent for frameworks, ideas, and feedback.

2. Coding + tech setup: we wrote about six superpowers, from choosing between options (like AWS vs. GCP vs. Zapier) to learning code best practices and more.

3. Building a website with ChatGPT and other AI tools in a day.

4. Making a video for social media.

And there are other parts we'll continue to write about. For anyone interested, you can read more at: https://dearai.substack.com/p/introduction

Not much, really. OpenAI blocks my company's VPN so I can't even get to ChatGPT.

I use copilot and chatgpt to help me write terraform code, which i’m still very new to. It’s decent at showing me which IAM role policy data attachnent thingy I need to add next.

It’s not that it’s particularly amazing, more that the google hits I get when searching for my problems are littered with SO mirrors and low effort blogspam. If this was ~7 years ago I think the search results could have gotten me just as far.

For a personal project it helped me work through an area of the code that would have otherwise been a mental blocker for me because I wasn’t sure where to start.

At work I’ve been using it a bit to improve feature/design concepts. It’s helped me come up with some unique improvements (and some really boring and generic ones too.)

Asked it to write Python code to dump data from Dataframe to GCS and it wrote a perfect function that I can immediately plug in my class.

Also asked it to write a few commands for BigQuery admin, so far so good but I always double checked due to the nature of those commands.

For my study I asked it to write a C program about processes. It got it almost right except for one place that costed me a while to figure out. But still faster than me banging random stackoverflow doors. It also helps a LOT giving me information of which kernel source code file ti find a random functionality.

My real concern is that I'd rely on it too much whenever I couldn't figure out something. That's fine for work because work is boring anyway and I want to end it asap, but not good for study because I want to grow grit.

We are a small team and those are just my use cases:

- Debugging - I just throw 100s of lines of logs and it's pretty good at figuring out what needs to be done

- Landing page copy generation and iterations on that copy

- Summarizing papers

- Extracting insights from user feedback

- Improving emails, fixing grammar

I’ve experimented with it a bit and found it can’t really do anything you might consider specialist.

If I ask it detailed questions about the topic I did my PhD on, it can’t answer correctly. I worked on fluid dynamics for a couple of years in my first role, and there is a well known algorithm called SIMPLE for computing time evolution of steady state problems, and it couldn’t generate code for this even with lots of playing with prompts.

I do web stuff more these days and I couldn’t get it to output a fully working React hook in Typescript that POSTs with Axios; there was always some sort of type error.

I've been using it a lot to think through development builds. I'll tell it the architecture that i'm thinking, the tech stack, and go back and forth with it. It saves a lot of time and helps me think through my process. That's my main use case (with copilot to finish the deal). The token limits are a pain for full code generation.

I'm working on a site right now where I use the API to generate me full summaries of AI sites. Features, excerpts, descriptions. It works really nice. I find it works best when you split the prompts up.

A few directors have sent emails lettings folks know it's ok to experiment with as long as they dont send passwords or PII.

I had it draft a thorny recursive SQL query for me one time (which I did write some extensive automated tests to validate)

One good idea I have is, since it’s a generative model, instead of asking it mechanical or electrical engineering questions, ask it to make a program to calculate something. And slowly ask it to improve upon.

Use majorly for programming and also to learn something by simplifying or digging deeper using questions.

Chatgpt as a debugging partner has been a adam and eve sort of match to me. It's a saviour!

We run a public crowdsourced forecasting site for the government here: https://inferpub.com. For our various stakeholders, we're using ChatGPT to summarize forecaster's rationales for their probabilistic forecast. We ask it to both summarize the arguments for the event happening, and against. We still need a human in the loop given who the information it's going to, but it's been an excellent starting point.

I'd say 80% of usage is focused on engineering tasks, while the rest are product/sales/customer success/marketing/HR.

The biggest issue we've seen is that folks don't really know how to use it. We created a Slack channel to share examples, encourage people to try it, and help each other out, which seems to be increasing usage (and memes).

Full disclosure: I built a ChatGPT for Teams tool with a friend, so most of the usage is sharing links/collaborating with that tool.

I use it to help kickoff the narrative form of rfp responses. It’s not a direct copy and paste but helps get started with questions like “why choose this platform over another”.

I'm building a p2p AI sharing platform, which runs in browser using webRTC. Basically a glorified chat room where everyone has access to the same AI.

I use it for coding the site but also for creating the user sessions, which right now include a group trivia game and a D&D session, both managed by GPT-4.

I've added in image generation using DALLE (somehow Midjourney still has no API) and it makes for unique sessions each time. With good prompting, it's a fun group experience.

I've particularly enjoyed saving loads of time by having it convert API responses to typescript classes.

And once I was done, asking it to write up some functions for the way they interact worked out very well.

In general, I've made a habit of asking it coding questions (usually how to do something in a complicated framework) before bothering teammates. Probably about 80% success rate.

I use it to document my work week so that I have a record of what I am doing several years down the line. https://cruit.coralworks.ca

I have to work with four different programming languages and I forget the syntax, so I use it to build me simple code snippets

Coding aid for unittests. Debugging aid for languages / frameworks I'm not particularly familiar with. Work that requires reformatting. Translating from rough drafts to more polished / professional language. Learning more about domains I don't have much expertise in where I need specific conceptual questions answered.

Copywriting content creation, job postings, translation, rough drafting code. So far it's all topical usage by employees but we've already got plans to do much deeper product integration in the future.

Letting people get a free taste directly with ChatGPT was definitely a smart move from OpenAI. The execs are already on board because of it.

It's completely replaced StackOverflow in my workflow. Devs are using Copilot for in-IDE assistance, and ChatGPT for summarizing/bootstrapping/review of a research topic, like "show me an example of a custom Predictor class to use with vertex AI," etc.

Hi, there! At our company, we're using GPT development for those who are interested: https://www.ratherlabs.com/gpt-development

I found that AI 'augments' the truth, easily verifiable - http://dx.doi.org/10.13140/RG.2.2.34838.01603

i use it for some small projects or features where i know what i want, but not sure the best way to implement it. for instance i had a project where for scanning purposes, i needed to copy roughly 50 container images from google container registry to an in house azure container registry. the process was taking quite a while as we transferred roughly 70gb worth of images.

i asked chat gpt to take my script and modify it to utilize multi threading. i had used threading in a project years ago, but couldn’t remember exactly how to implement it. it gave me some snippets that got me 95% of the way there, just a couple small tweaks and it was good to go

I use it for almost everything but mainly for programming.

I built a solution to take my ChatGPT Plus subscription every with me on the computer. Juggling browser windows was frustrating.

I’d really appreciate feedback from you guys. Hope it’s helpful.

www.constitute.ai

Using for academic research. It is especially useful for translating long strings of numbers in classical Chinese sources into Arabic numbers. It's not perfect, but well over 90% accurate and saves much tedium.

At our company, we've been using ChatGPT as a fun, creative and engaging tool that feels like having a quirky, digital sidekick! Picture this: we're brainstorming and optimizing ideas, and suddenly, our very own AI assistant comes in, adding a splash of color to our discussions. It's like having an extra team member who never tires, always ready to enhance our prompts with fresh ideas and boundless creativity. And the best part? It's ChatGPT itself that's writing this story for you! No matter the challenge, ChatGPT has our back, making work not just efficient but also a truly enjoyable experience.

My company uses it to parse terms and conditions documents into structured JSON. It's saved us from hiring another person to go through these documents which is a massive benefit for a small company

Naming things

a few people use it as a general-purpose SQL query generator, i personally use it for debugging, and i have the impression that some people are using it to draft emails

I am a single person running a company, and I used ChatGPT to create prompts for ChatGPT. The outcomes have been good up until now.

I could not really use it for code, as the quality mostly sucks, but it gave me good ideas at least.

Our boss uses it to formulate emails better

We just used it the other day to easily walk us through filing a trademark application, and saved money on lawyer fees.

I’m running a global pilot to see how we can effectively use it for internal data at a multinational investment bank

We are using it for summaries, newsletter research, website copy , product research and more.

Mostly using for content generation.

Aparently refactoring the BE from JS to TS, I'm not involved in the effort though so dont know the details.

Coding, marketing tweets/posts based on rough ideas, website content rewrites.

we built our own AI chat, it’s not that hard. It’s wired up to our internal data, with nlp search, and a few tools using swagger.

I'm not. It is not a useful thing.

Refraction'ing light

Saudex

refactoring code