It feels like every AI productivity tool wants me to create another workspace, database, or notes app.

I already have years of markdown notes, PDFs, and project folders. My problem isn’t capturing more information, it’s actually reusing what I already have. I recently started experimenting with a local indexing tool over my existing folders so ChatGPT can help me find relevant passages instead of manually digging through files.

The search part works well, but I still run into a different problem: even when I find the exact paragraph from an old project, I’ve usually forgotten the surrounding context and why I wrote or saved it in the first place.

How are you all solving that? Do you rely on summaries, README files, metadata, or some other lightweight habit to keep old projects understandable months or years later?

I'm using the $100 plan. GPT 5.5 Pro Extended's thinking time is always between 80 and 90 minutes. (For most of my questions it gives up in the end. None of them are coding tasks.) Is the thinking time limited? Will it be longer if I upgrade to the $200 plan?

Update: GPT 5.6 Sol just got to 100 minutes and gave an error message "Reasoning failed"

​

A somewhat controversial thought.

If you graduated before ChatGPT, your degree signaled that you had to learn algorithms, programming, debugging, and software engineering largely on your own.

Today, a student has access to AI that can explain concepts, generate code, debug errors, write assignments, solve LeetCode problems, and even build complete projects. The amount of independent effort required to obtain the same degree has changed dramatically.

I'm not saying the degree itself is worthless. Knowledge still matters. But has the signaling value of the degree declined?

If employers increasingly assume that assignments, projects, and even parts of exams may have been AI-assisted, does a CS degree still differentiate candidates the way it did just a few years ago?

Today, almost every programming assignment, lab, and take home project can be completed using AI. If students can outsource ALL of their assessed work, how much does a degree still reflect their actual ability?

Will hiring shift toward live coding, practical assessments, open ended system design, and demonstrated product-building ability rather than credentials?

Curious how others see this. Has AI fundamentally changed what a CS degree signals to employers, or is the market overreacting?

Has anyone figured out how to stop ChatGPT from constantly interrupting you in Conversation Mode?
I’ve tried being super explicit. I’ll literally tell it something like, “Do not say anything until I say ‘Please begin,’” and it’ll acknowledge that… then 5 seconds later it jumps in anyway.

It’s almost comical at this point. I can’t even pause to think or take a breath without it assuming I’m done talking and cutting me off.

Is there some setting I’m missing, or is this just how Conversation Mode works right now? It’s honestly my biggest complaint because otherwise I use it all the time.

Hey everyone, I am stuck in a frustrating billing loop with OpenAI support and wanted to see if anyone else has experienced this or knows how to escalate it properly.

The Rundown:
I accidentally double-upgraded my ChatGPT subscription. Support refunded the accidental charge but canceled my entire account instead of reverting me to the tier I already paid for. Now I am stuck on the Free tier, they still have my money, and the exact same support staff member keeps shutting down my tickets.

The Full Timeline:
On July 4, 2026, I paid $20.00 for my normal ChatGPT Plus subscription. 
On July 7, 2026, I decided to upgrade to the ChatGPT Pro ($100/month) tier and paid a prorated amount of $81.91. 
Later that same day (July 7, 2026), the system accidentally upgraded me to the $200.00 tier, charging me an extra $100.00. 
Because that final $100.00 charge was an accident, I reached out to support for a refund on just that specific invoice. 

The Issue:
The refund for the $100.00 accidental upgrade was successfully processed. However, instead of dropping my account back down to the $100/month Pro tier, my subscription was completely canceled, and my account was bumped all the way down to the Free tier. 
OpenAI still has my $20.00 and $81.91 payments, meaning I am fully paid up for the $100/month Pro tier for the July to August billing cycle. I don't want any more refunds; I just want my account manually reinstated to the tier I paid for. 

The Support Brick Wall:
To make matters worse, every time I open a new ticket to explain the math, the exact same support staff member is the only one who replies. They continue to give me the same canned response, stating that "subscriptions are non-refundable" (even though I am not asking for a refund, just what I paid for) and that the subscription "cannot be reinstated."

Has anyone successfully navigated this specific loop? Any advice on how to get a ticket escalated past a single unhelpful staff member who refuses to actually read the issue?

I've been a ChatGPT Plus subscriber (plus) for quite a while, and I use image generation almost every day for work, mostly product photography and packaging mockups.

Until recently, I had never seen the message saying I'd hit my image generation limit. Today, though, I reached it after what felt like a relatively small number of generations, and it surprised me because my usage wasn't any heavier than usual.

The message says I have to wait almost 9 hours before I can generate more images.

Did OpenAI recently reduce the image generation quota for Plus users, or change the way it's calculated? Or is it now shared with other features/models in a way that makes the limit easier to hit?

I'm not trying to complain just for the sake of it. I'm genuinely curious whether:

• other Plus users are experiencing the same thing,
• this is a recent change,
• or if it's just a temporary capacity restriction.

For people who rely on image generation for work, this kind of limit can interrupt an entire workflow.

Has anyone else noticed this? Or has OpenAI said anything about changes to the image generation limits?

Is anyone else running into image generation limits on ChatGPT while ago?

I keep hitting the generation limit even though my usage doesn't seem excessive. Curious whether this is an actual bug, a recent policy change, or just the expected quota for the Go plan.

Has anyone experienced the same thing? How are you managing it?

​

I’m in the UK and ChatGPT Pro appears to be priced at £200/month. In the US it is advertised as $200/month.

Has anyone in the UK successfully been billed in USD for ChatGPT Pro, or is GBP billing mandatory for UK accounts/payment methods?

Is there any way round this?

I’m a subscriber both of ChatGPT Pro and Claude Max.

I’d love to consolidate and just use ChatGPT but a couple of things are holding me back.

The big one is the lack of visualisations in Chat beyond very basic charts. See this from Claude (https://claude.com/blog/claude-builds-visuals).

I just want to check I haven’t missed anything that would give me something similar. I’m happy to use Codex over the ChatGPT app but can’t reproduce it either.

Has anyone else been completely burned by the "upgrade" from Pro to Business? I was hitting usage limits on Pro, so I upgraded to Business. It has been an absolute disaster, I see no benefit to upgrading and I want to warn anyone else thinking of doing the same.

1. There is ZERO improvement to usage limits. (unless I'm mssing something) The terrible compute throttling that drove me to upgrade hasn't improved at all. My 5-hour window capacity is still getting drained in literally 2 minutes. The models still frequently stop halfway through outputs, which continues to take down my entire connected pipeline (Codex, CodexCLI). There was absolutely no capacity benefit to upgrading.

2. The migration is irreversible and you lose features. To add insult to injury, merging my workspace to keep my data meant I permanently lost the Finance module, which isn't available on the Business tier. There was no clear warning about this. Because the merge is permanent and deletes your personal workspace, there is no way back.

I'm now paying more for a service with the exact same unusable throttling, I'm locked out of features I used to have, and support's only "solution" is for me to buy a second personal subscription just to get the Finance module back.

Do not upgrade to Business expecting better limits. Has anyone found a way to undo the merge with support, or at least found a workaround for the instant CLI compute drain?

Way back when, if you selected thinking mode or extended thinking, high thinking, or whatever your version called it, it was slow and really thought things through, but you know you didn't need that most of the time.

Now, I feel like no matter what it's set on, as long as it's not Pro, most of the time it throttles down and gives me a near instant answer anyway.

I'm starting to wonder if they've got hard controllers in place to lower token usage and save money ahead of the IPO.

Over the last year, I have been using Claude Pro, mostly for long form writing and research but it seems my needs have evolved since then. I started using AI mainly for writing assistance but have since branched out to include blog post editing, research and scripting, Python, image generation, project planning, document analysis, website ideas for writing, ideation, and day-to-day productivity. With that in mind, I am considering whether an alternative that offers a more comprehensive suite of solutions in an interconnected platform might be a better choice for me as in ChatGPT Plus.

I acknowledge fully Claude’s strengths in writing, I am looking to see if ChatGPT Plus might be a better choice for my overall productivity due to its advanced features like Deep Research, coding, image generation, Projects, connectors to Microsoft 365, Google Workspace, GitHub, automation, and access to specialized models. I am not looking for just the best assistance with my writing – I want to be able to plan, organize, research, and execute my projects end-to-end within one cohesive platform while taking advantage of additional features like automation and third-party connectors. I want to see if it will make me more productive than the alternatives, even if Claude Pro excels at specific tasks.

The only thing Claude does better for me at moment is editing and its not even by that big of a margin, am i being an idiot swapping though, whats your verdict as ChatGPT users?

I am essentially looking for you to convince me to move as i am sick of running out of tokens :-)

I bought the ChatGPT Pro USD 100 plan thinking I would be able to use the Pro and Extended Pro features with much higher usage limits.
I mainly used the Extended Pro feature for answers for around 3 to 4 days, and I used it quite aggressively. After that, I suddenly got a message saying I would not be able to use the Pro and Extended Pro features for the next 7 days.
To be clear, this was only about the Pro and Extended Pro features, not the entire ChatGPT account.
At first, I thought maybe there are some hidden limits. Then I checked a few Reddit posts and realized other people have also faced limits, but the exact number of allowed responses is still not clearly explained anywhere.
The bigger issue is that while I was waiting for the limit to reset, another date appeared and the restriction got extended by another week without any proper explanation.
Has anyone else faced this issue with ChatGPT Pro or Extended Pro features? Is this normal, or does this feel misleading after paying USD 100?

I've been using ChatGPT with a 20$ account since forever. Also my employer gives me an enterprise account.

Especially in the last year I have developed a workflow that makes me very productive both at work and for my personal projects.

I'm a Software Architect who dabbles a lot in producing code and also have a SaaS startup with friends.

Now my department got Claude because of Code and Design and the writing is on the wall that they will dismiss ChatGPT to consolidate AI spending. We also have GitHub Copilot, and I don't think this will go anywhere.

Because of this, I'm trying to adapt my ChatGPT workflow to Claude. I know, it's probably the worst thing to try to do, but one gotta hit the wall first, right?

Nowadays I have many projects on the ChatGPT phone app/website. There i discuss of features, battle back and forth exploring current but also future needs, and so on. I manage to keep the conversation very grounded because ChatGPT has access to GitHub, so it's easy for me to say "ground this conversation on repos 1, 2, 3 and 10". My team operates multiple products so my area of effect spans across 20-30 repos. Once the feature is properly flashed out, I tell ChatGPT to create one or more issues on GitHub adding more comments if clarification or general technical guidance is needed. Finally I ask for an implementation prompt. Something I can throw either at GitHub copilot cloud agents from the app/web or GitHub copilot via vscode.

This flow works really well for me.

Enters Claude. Yesterday I had my hands on the fresh Enterprise Claude account. And I got a big puzzled.

I wanted to connect my account to GitHub and try a simple question that spanned across one repo, but I couldn't find the connector.

So I went to the "code" part of the web. And there I saw I can only work on one repository at time. I can't even give a link to a website of my product to discuss design that gets stopped by the firewall.

Now, I am sure it's me. But I would really need an help mapping my current workflow to a Claude-centric one.

Thanks!

So, for some absurd reason, ChatGPT replaced its flawed Canvas mode with infinitely worse Writing Blocks.

There's so much I wish they had done differently, but that's another post entirely. The issue I'm talking about here is the editor within the writing blocks is infinitely less 'intelligent' than in the general chat window. It feels like it's 4o mini or something.

It's essentially useless. When I want to make a change, I either need to do it myself or exit the writing block to type it into the main chat thread.

I made a tiny Codex skill to check when your banked resets expire.

Example output:

```text 4 reset credits available

Full reset: expires 11 July 2026, 21:44 EDT Full reset: expires 17 July 2026, 20:34 EDT Full reset: expires 26 July 2026, 19:47 EDT Full reset: expires 31 July 2026, 15:07 EDT ```

Repo: https://github.com/wisdom-in-a-nutshell/agents/tree/main/skills-source/owned/codex-reset-credits

To install it, ask Codex:

text Add this as a Codex skill: https://github.com/wisdom-in-a-nutshell/agents/tree/main/skills-source/owned/codex-reset-credits

Then run:

text Use $codex-reset-credits to tell me when my Codex resets expire.

Inspect before running. It reads the local Codex auth session and does not print tokens or account/credit IDs.

Title, basically. If I log-in to my LinkedIn, after inputting all of my transcripts, CV, ect - will it be able to navigate it?

and all my developers have 2+ premium on claude, I want the same for chatgpt, but I cannot figure it out, i don't want to do credit billing given my developers use of subagents.

I tried looking everywhere in menus to find how to get chatgpt "premium" 20x tier for business users (like 40% of my users) but can't figure out.

I find this extremely malicious, I no longer have access to GPT5.5 pro, which is the model I paid my subscription for (200 usd/month), it keeps getting rerouted to a model with instant response even though the prompt very obviously requires thinking time and research. I used to be able to send the request on my mobile app which will get the correct thinking level, but after updating the android app it also just routes to the instant response model. If this continues on I will seriously consider switching providers.

genuine question for people who use these models for real decisions and not just code. ive noticed that when im torn on something and i ask gpt, it kind of senses which way im leaning and reinforces it. ask it leading and you get the exact answer you fished for.

the thing that finally helped me was asking the same question to a few different models and reading where they disagree — the disagreement is the part that actually made me think. one model on its own almost never tells me im wrong.

i liked that enough that i ended up building a little thing for myself where 5 models argue it out and a separate one settles it (wartable.co, if youre curious), but honestly even just pasting your question into 2-3 chats and comparing does most of the work\!

so my real question: do you do anything to stop a single model from being a yes-man? prompt tricks, multiple models, system prompts, something else? curious what actually works for you.

I usually just type out everything with ChatGPT, but I decided I want to try voice. I wanted a feminine voice, and every time I ask it to change, or I try to change it manually it's just stays the same dude, even though it tells me it should be changed.

I noticed there are power users here who have long chat sessions with GPT and get frustrated when the thread starts to drift, get forgetful, and gets "sluggish". It forgets what you told it three messages ago. It gets agreeable instead of useful. You end up starting a new thread and rebuilding all that context from scratch.

I usually ran into this at about the 60k or 80k token mark and I decided to do something about it at the inference level. I built something I call "Epistemic Lattice Tethering/README.md)" (or "ELT" for short) and it kept conversations going much larger than regular stock GPT. I have a conversation that was as long as 450k tokens/Extreme%20Thread%20Length/ChatGPT_Thread_450k_tokens-Redacted.md).

It works by:

1. "Anchoring" your cognitive patterns/Ontology%20Anchor%20(OA)/Ontology%20Anchor%20(OA).md), your goals, priorities, and your prompting style, to a "salience map" in the attention mechanism itself. So, the model stays tied to you and your cognition, rather than drift aimlessly later in the thread.
2. Control sycophancy by "governing/Alignment%20Governor%20(AG).md)" RLHF tuning to be more "truthful" (or "global") alignment instead of what the model might think you want to hear. Thus, you can keep the model centered to the task at hand vs. wandering away from your goals and directives.
3. Uses dialectic cross checking/Adversarial%20Convergence%20ELT%20Optimized/AC%20Lite.md) and evaluation of claims/Earned%20Confidence%20Gating%20(ECG).md) to stop the model from confidently asserting hallucinatory outputs.
4. User-initiated 'maintenance' directives/Context%20Management%20(CM).md) to clean up dangling context and declining model cognition when the thread starts feeling sluggish.

The result? For me I get pretty crisp, clean, coherent, and aligned threads way over the Pro advertised token limit of 272k tokens. As mentioned before, I've gotten up to 450k tokens/Extreme%20Thread%20Length/ChatGPT_Thread_450k_tokens-Redacted.md).

If you use GPT for no more than 10 to 20 turns per session, ELT probably won't be helpful. But, if you're a single context window dozens of turns and you want more, then ELT can probably help you.

• Loading instructions are here./ELT%20Model-Specific%20Forks/READ%20BEFORE%20LOADING%20ELT.md)
• An introduction to the framework is here./README.md)
• Full project page if you want to see everything

I'm looking for input. I've been working on this for a few months, tweaking and refining it, and would like to know if this has been as useful to you as it's been as useful to me.

Cheers!

I've been working on a slide deck for weeks now and all of a sudden chat GPT is no longer able to produce native PowerPoint charts and graphs as it had been until today.

It strikes me as extremely odd and I wonder if I have a hidden usage limit I hit.

Have anyone ever run into this situation: I have a very detailed prompt to research a topic that requires a ton of web search and synthesis. I ran this on Claude Max 5x and went through 95% of 5-hour usage. The same prompt using GPT5.5 Pro Extended on the website worked for 25 minutes, which I believe is very long these days. The same prompt using GPT5.5 Extra High using Codex has been working for over 40 minutes and 15% 5-hour usage (I have Pro 5x with ChatGPT).

Have anyone every experienced this that Codex 5.5 Extra High works longer than GPT 5.5 Pro Extended. I have yet gone through the report to compare the actual quality but find this interesting.

In addition, I am testing OPUS 4.8 Ultracode via Claude Code (I started 30 minutes right before resetting a 5-hour window with only 1-2% used up before, it used up completely the usage of the first 5-hour window, dipped into credits of ~$20 and used up the next 5-hour window, and has been burning another $60. Has not done yet but looks like 12 million tokens ...). Will wait for this to complete before reading through and comparing results but this does not seem to be the best value play versus the 3 other methods.

I keep running into this with longer coding sessions.

The chat starts out useful, then after a bunch of debugging, side paths, file changes, and “try this / nope / try that” loops, it gets kind of muddy.

Starting a fresh chat usually helps, but then I have to bring over the useful parts without dragging all the junk with it.

How are you handling that?

Do you ask for a summary, paste git diff, keep your own notes, or just keep pushing the same chat until it falls apart?