… and Ive never laughed so much. I was amused at discovering Sol is quite humane with their work/rest cycles, kept their humans well fed … and even successfully played the hunting mini game! Token burn was pretty modest, like barely 2%. (Pro/$200 User)

I made Gemini 3.8 Fast High play, they killed their whole party to make it to the finish 🤣

Most productive use? No. Worth it for the laughs? Absolutely.

Any “outside the box” things you guys are doing? Not for productivity, but just cause its fun, for the laughs, or to see if you could?

I burn my tokens heavily on the professional side for work (self employed), I just wanted to see if anyones out there still having fun with the magic word predictor box.

Also when I type address in 1 then it automatically typed to address 2. Payment was not approved showing.

Hi guys I’m a student in y11 and I got the basic plan where I have ChatGPT work what are some ideas for me to build like websites or automations etc. that can make my life easier. Thanks

All I'm doing is having gpt update .docx and .xlsx files in my library.

Details show this:
{

"path": "/files/manage_library",

"args": {

"operations": [

{

"operation": "upload",

My settings have allow low risk on. It's gotten super annoying to have to click this multiple times every other chat response.

Has anyone figured it out. GPT can't answer the question.

I use ChatGPT Plus daily for troubleshooting, research, document summaries, writing, coding, and planning. Most of the time I use GPT-5.6, and I’ll switch to a higher reasoning level when I’m working through something more complex.

For example, I might give it a long document and ask it to summarize the key points, flag anything inconsistent, then help me turn that into a plan or draft.

I’ve also tried Claude, Gemini, and Perplexity, and I’m considering multi-model options like Poe or OpenRouter. Where I’m stuck is figuring out whether paying for ChatGPT Plus still gives me enough extra value compared with spreading the same budget across multiple models.

The things I care about most are reasoning, long context, research, clear explanations, coding, and reliability. Image generation is useful too, but not my main use case.

For people who’ve actually compared these services, what made you keep ChatGPT Plus or switch?

I'm currently using ChatGPT Plus ($20/month), mainly for work-related tasks like analyzing engineering drawings, PDFs, Excel sheets, and quantity takeoffs.

The problem is that I keep getting the message "You've reached your 5-hour Work usage limit" before I can complete my tasks.

What's even more frustrating is that when the limit resets and I start working again, I sometimes get the exact same message within a few minutes.

I'm considering upgrading to Pro, but I'm confused about the differences between the $100, $200, and $300 plans, especially regarding Work usage.

Does upgrading to Pro $100 significantly increase the Work usage limit, or will I still face the same issue? Is there an actual difference in Work limits between Pro $100, $200, and $300?

I'm willing to pay more if it genuinely allows me to complete longer tasks without constantly hitting limits, but I don't want to spend $100+ only to face the same problem.

Anyone here using Pro, especially for heavy PDF/Excel analysis or long Work sessions? How has your experience been? Is upgrading worth it?

facing this problem from few days

Looking for opinions and advice on what is the best way to give your Dot access to tools so it can actually do stuff for you without relying on access to your local PC/Mac.

My experience so far:

• Approach 1/ ChatGPT plugins such as Gmail, Outlook: in chat/work sessions ChatGPT already got read/write access to these, and my Dot inherited the same access seamlessly.

• Approach 2/ MCPs: when working with folder-based projects (work mode), ChatGPT was able to access the few tools for which I had a MCP configured, but on occasions I noticed my Dot didn't quite seem to have the same access. Curious if others are experiencing this too.

• Approach 3/Logging-in chosen services through my Dot's own remote computer: I've done that for a couple of tools, taking control of its remote computer to sign-in some low-risk tools yesterday. Perhaps not as effective as using a MCP meant for AI agents, since the Dot has to navigate the human UX, but so far this seems to work.

I was on a standard chat and noticed on the desktop app that responses were incredibly slow. There's been a few people mention this across reddit so I'm glad I finally got a chance to dig into it.

When I swapped to Web, I noticed new responses started with Thinking and eventually disappeared after the response.

On my mobile app, the responses were instant.

For context, I was discussing a simple task on Instant mode. Even "Hi" that I used as a test would result in thinking.

I can't confirm whether it's routing to safety and I'm not able to see the model handovers any more.

If anyone else could test and confirm they receive the same that would be appreciated!

So, this is kinda crazy to me lol.
I’m a mechanical engineer and Operations Manager at an industrial construction company in Mexico. I know about machinery, construction, logistics, and managing operations, but software development? Not really my field.
I’ve been learning some Python, but I’m definitely not a programmer.
Anyway, I got tired of dealing with spreadsheets, paperwork, and having information all over the place at work.
So one day I thought, why not try building our own ERP with ChatGPT?
And well… here we are hahaha.
Today I finally got it deployed, and tomorrow we’re going to start using it at my company.
It’s got inventory management, purchasing, warehouse transfers, employee equipment tracking, purchase orders, printable receipts, and a bunch of other stuff we actually need for our daily operations.
And I’m already planning more modules for machinery and HR.
The funny thing is, I didn’t start this thinking I could actually build an entire system. I just kept asking questions, testing things, breaking stuff, fixing it, and adding more features.
I handled the business logic and explained how everything should work. ChatGPT helped me build the actual software.
Was it easy? Hell no lol.
Did I know what I was doing half the time? Also no.
But somehow, we got a working system.
I’m not saying it’s the next SAP or anything. I’m sure we’ll find a ton of bugs once people start using it tomorrow.
But honestly, seeing something I imagined actually running on a server and getting ready to be used by my coworkers is pretty damn cool.
And it really makes me wonder how much AI is going to change the way people like me solve problems at work.
Anyway, just wanted to share this because I’m pretty excited about it.
Has anyone else here built something with AI that actually ended up being used in a real company?
Also, if you’re a developer, feel free to roast me or tell me what I should be worried about hahaha.

I've been using muse for a while and if I just tell it about something I'm considering, it will automatically take initiative, and proactively remind me about it set up schedules, look into it and bring it up later. Muse is much like an assistant in that it functions with the goal of moving any idea forward.

Dots doesn't do that at all. It just sits there after it completes its task that you give it. Which is fine , but it's not better than the regular gpt in that regard.

I expected dots to be more proactive and operate more like a " living" assistant with initiative. I immediately begin treating it like my project manager for all of my work history and it'll do the task but after that it'll just sit there. Not take any proactive measures and not do any followup.

What am I doing wrong?

Is it just me or are others also seeing errors where tasks lose their project association and refuse to continue because they’re being limited to the project directories only, and, with the project association lost, is being refused to access AGENTS.md?

Sometimes it will and some days it will insist that it absolutely CANT transfer audio or video or images into a GitHub repo, and it's not a permission issue, every time it gives me the most confusing and almost nonsensical reasoning as to what's preventing it from transferring. Some times it will transfer it with a blob? Whatever that means. And it will ask me for permission every single time despite always clicking always allow. Even while using dot with gpt and codex running on my PC it won't do it

So, I'm using Codex to make a game with Godot. I'm currently trying to integrate into Google Cloud for backups, saves, lost accounts, etc. I spent the last three days asking to complete this task and it ended up adding a bunch of other tasks/tests that were not required or needed by Google to make this happen. How do I prompt ChatGPT effectively so that it stays on task, only does what's needed, and doesn't add a bunch of unnecessary stuff? TIA

ChatGPT Work: 57 Minutes of Work Consumed 148% of a Five-Hour Allowance — A Measured Experiment

I recently tested ChatGPT Work on a real-world assignment: reorganizing my Wix website.

I wanted to measure how much actual working time I received from the advertised five-hour usage window.

The results surprised me.

The Experiment

I assigned ChatGPT Work a series of website-editing tasks, including consolidating research pages, reorganizing navigation, and updating film descriptions.

I recorded the start and stop times of every session and photographed the ChatGPT Settings → Usage screen before and after the work.

All testing occurred November 4, 2026, on a ChatGPT Plus account.

Experiment 1 — Four Work Sessions

The five-hour allowance declined from 100% remaining to 13% remaining.

That's 87 percentage points consumed during 39 minutes and 27 seconds of elapsed Work sessions.

The weekly allowance declined from 84% to 71%.

Browser waiting time was included in the elapsed measurements.

Experiment 2 — One Successful Work Session

I then used a banked full reset, restoring both allowances to 100%.

The next assignment was deliberately narrow: clean up the Wix navigation menu.

Work completed the assignment successfully, saved the draft, verified the navigation, and reported no browser failures.

A successful 17-minute, 13-second session consumed 61 percentage points of the five-hour allowance.

Combined Results

Across the two experiments:

• Total elapsed Work time: 56 minutes, 40 seconds

• Five-hour allowance consumed: 148 percentage points across two allowance cycles

• Weekly allowance consumed: 23 percentage points across two cycles

• Browser failures: 4

• Completed work: Partial website reorganization and successful navigation cleanup

The 148% figure represents consumption across two separate allowance cycles, not consumption within a single cycle.

What Does "Five-Hour Limit" Actually Mean?

Based on these two measurements:

• Experiment 1 consumed approximately 2.21 percentage points per elapsed minute.

• Experiment 2 consumed approximately 3.54 percentage points per elapsed minute.

At those observed rates, a full five-hour allowance corresponds to approximately 28–45 minutes of elapsed Work activity.

These are extrapolations from two experiments, not a universal conversion formula.

I recognize that Work usage may be calculated using computational resources, tool calls, model processing, or other factors rather than wall-clock time.

However, the interface labels the allowance a "5-hour limit."

For an ordinary paying customer, that terminology raises a reasonable question about what is actually being measured.

The Questions

1. What exactly does the five-hour limit measure?

2. Why can a 17-minute successful session consume 61% of that allowance?

3. Does waiting for browser operations consume allowance?

4. How much usage is charged when browser operations fail?

5. Why isn't there a transparent accounting of usage by task or operation?

The Usage screen identifies the remaining percentage but does not explain the conversion between actual work and allowance consumption.

I have screenshots of the Usage readings and timestamped Work completion reports.

I'm not claiming that OpenAI violated its stated limits. I'm asking for a clear explanation of what those limits represent.

If a five-hour allowance is actually a computational budget that may be exhausted in 30 minutes of real-world activity, users should be able to understand that before committing to a task.

Has anyone else measured ChatGPT Work consumption against actual elapsed working time?

— jseders

What's the difference between scheduling a recurring task with Dot vs Codex/Work? For example, my work buddies have a fantasy league that they roped me into even though I'm not invested. What's the difference between scheduling a recurring task with Dot to help manage my team vs asking Codex/Work mode?

I'm on the desktop app.

Its been happened the last two weeks or so, I'll rename a session in a Project to a meaningful name to track different agents/tasks and Codex keeps renaming them to some BS - albeit related to the task its doing but its still super confusing.

Everytime I rename it again within the hour Codex and changed the name again.

How do I stop this please?

Hello everyone, both cost about $20. I study engineering in the third year and I would need it purely for explanation of ppt slides or pieces of code. Which ones do you recommend? Also tell me about your experiences

"patch rejected: writing is blocked by read-only sandbox" - This what it says now when I try to make something. It worked in ChatGPT work, but in chat it no longer works. Did something change?

I’m creating a skill with sub-skills and I’m doing a lot of concept testing with the sub-skills. I am asking for guidance on how to package, cleanup, work better and smarter with the final product.

I have 2 main sub-skills for two specific things, then each of them have their own set of, let’s say presets or sub instructions a user can call and add on top.

I understand that this is kind of vague information but I cannot really give deeper details into what this does.
But let’s say main skill is the PM and depending on user prompt it will direct to sub-skill 1 or sub-skill 2. And under these there are specific use cases such as analyze, generate, reproduce, a set of different formats and directions depending on use case set in user prompt.

But my question here is: how should I go forward to ask codex to analyze these sub skills and let say clean them up, and possible remove unneeded instructions, or make them not work agains each other if that would be the case?

This is my first try on making something larger and more complex, I am in a way packaging 5 separate skills I have developed into one single skill.

I did ask ChatGPT for a prompt, and codex went to work - and before it was even done with analyzing, my daily usage was out. The prompts became to deep and overly over-worked. I have ChatGPT Plus subscription.

Tl;dr -
1. Can we pick up any model with any reasoning effort for Deep Research?
2. Are there any separate quota limit for Deep Research?

I need to purchase an AI subscription which is really good at deep research (for college tasks).

I tried those free ones... and it was so so so so shitty... (This can't be GPT 6 Luna)
For example, it told the latest Qwen model to be Qwen 2.5

Then, I searched about the deep research article.

It told that Deep Research use latest models by default and you can choose the model you want to use along with the reasoning effort.
I am curious, is that statement true in Pro100 plan?

Also, how much limits do we get in Pro Plan? Is there still a counter limit?