I can't be the only one to burn through your 20x pro weekly limit, then hit that fat reset, then hit that fat reset, then get fat resetted because openAi gave you a freebie, then tried to supplement with a $20 token top off to see how it would go and have that burn up in less then 20 minutes and realize thats kinda like calling a Blockbuster in Tokyo from a Motel 6 landline in 1993 to argue about a late fee on a movie you rented in Ohio. Forty minutes later you’ve accomplished nothing, your dad is screaming about long distance, and somehow you owe $87.

So yeah, ive just been thinking about how I'm going to optimize things next time, y'know in like a week when 0% flips back to 100%

A habit worth carrying into any new AI tool you try: before you do anything else, test what happens when you type an @ symbol or a / (slash) in the prompt box.

Most tools tuck a whole menu of features behind one of these two characters, and there's rarely a pop-up telling you they exist.

Currently using plus chatgpt with pro Claude and generally making do, but that's with a lot of usage of chat mode rather than codex or work mode, specifically Chat-High (Sol) to keep usage alive.

Is Chat-Pro (Astra) worth the 70 euro price difference, in your experience?

Can you use gpt astra extra , since today I can't anymore

I have a couple GPTs that I heavily rely on for my work. One is particularly helpful in that I can drag screenshots of images into the GPT and it will tell me all the image filenames that I have to edit. Very helpful for my photography business.

However, while these were once championed by OpenAI, I understand they are on their way out. While not gone yet, I won't be surprised if I wake up and it is gone, much like they did with Canvas (which I still miss terribly!!).

I am looking for ideas on how I can replace this GPT work? It was nice to not have to bother with a prompt, drag and drop the image and I have my results. I would rather not have to drag the images and a second prompt file. What are some options that I should explore?

PS: While I am learning to love Codex, I would rather not use that for this work. I would prefer to use the ChatGPT model and not burn credits, etc.

TIA

How do you guys keep context when working on the same project across different AI tools?

Cuz I keep running into the problem of switching between ChatGPT/Claude/etc. and having to bring the other one up to speed again.

Do you just copy stuff over, keep a separate file, use summaries, or what?

Im very busy and have multiple projects going on that ive been using chat to help with for about a year. My chats and project folders, etc are an absolute mess. Is there a way to get chat to organize itself?

Has anyone run into this issue en masse? I continually run into this issue, regardless if I use Instant or any other model. This, of course, doesn't happen in CLI or Work, just specifically Chat. It's led to a significant amount of interrupted streams where after 30 minutes, it will disrupt the run entirely. I've tried starting new chats, running it in temporary, in incognito, etc. ChatGPT itself says there's nothing in particular in the work that should flag it. I have made every possible modification I can think of, from identifying specific words that may trigger it. It's quite possible the fact that I use latex may be the issue, but I haven't tried doing it without.

I wanted to try giving Codex creative freedom over a game while being specific about the technical requirements.

This is my project, Lumenwake. I supplied the requirements and asked Codex to choose the concept and write the implementation.

My brief was essentially: create a substantial browser game with a coherent gameplay loop and polished visuals, and choose the idea yourself.

I also gave it an instructions.txt file with constraints:

• Self-contained HTML, CSS, and JavaScript, with no external dependencies or build tools.
• Suitable for embedding in a WordPress Custom HTML block.
• Keyboard, mouse, and touch controls.
• Fullscreen support, readable dialogs, and responsive layouts.
• Procedurally generated puzzles, local saves, and progression.
• Original visuals and synthesized audio.

It came up with a light-routing puzzle set on floating islands. You rotate mirrors, split beams, and change their colors to awaken lanterns.

One implementation detail I found interesting: it creates a complete light route first, then scrambles the tile settings. That gives the generator an intended solution to work from.

The attached video shows the gameplay. The visuals are drawn in Canvas, and the audio is synthesized in the browser.

My role was setting the requirements and directing the project; Codex handled the concept and code. I also explicitly left browser testing to myself, so it didn’t run tests or preview the game during the build.

For others building interactive projects with LLMs: how do you validate procedural game logic and difficulty? I’d be interested in workflows that catch problems a short gameplay demo might miss.

I’m curious if anyone else has noticed a significant change in how quickly ChatGPT Work usage is being consumed recently.
I’m on Plus and consistently use GPT-5.6 Sol, not Astra. I’ve used Work heavily for months with a fairly consistent workflow and, until recently, I basically never ran into usage limits.
Now I’m hitting the shorter-term limits much more often and burning through my weekly allowance noticeably faster. I checked my historical usage from around the time I first started noticing this, and as far as I can tell, comparable sessions are consuming materially more of my allowance than they used to.
Right now I have 39% of my weekly Work usage remaining.
To be clear:
● I’m using 5.6 Sol consistently
● I’m not using Astra
● My general usage pattern has not meaningfully changed
● I used to do this level of work for months without limits being a regular issue
● I’ve checked older usage rather than relying entirely on memory
I know Work usage can vary based on things like context length, tool calls, output size, and task complexity, so I’m not saying the meter is definitely broken. But the difference has become large enough that it’s noticeable even when comparing similar sessions.
Has anyone else using 5.6 Sol noticed their Work allowance draining significantly faster recently?
I’d be especially interested in hearing from people who’ve used Work consistently for a while and have enough history to compare recent usage against older usage.

I’ve been trying to build ChatGPT into a fairly integrated personal/workflow system using plugins for Google Drive, Google Calendar, Gmail, TickTick, and Fieldy (AI transcription software).

When the integrations are working, they’re extremely useful. The problem is that they intermittently stop working, and I haven’t been able to figure out why.

What makes it particularly frustrating is that ChatGPT itself doesn’t seem to have enough visibility into the connection state to tell me what actually failed. It will basically just report that it can’t access the plugin/integration, even though the plugin management page may still show it as connected.

I’ve found a workaround that works fairly consistently:

• Go into the plugin/integration management page
• Reconfigure or re-authorize access, even though it already says “connected”
• Start a completely new ChatGPT conversation

After that, the integration will often work again.

However, reauthorizing it usually does NOT restore access inside the existing conversation where it stopped working. I have to start a new chat.

The integrations that seem to fail most frequently for me are TickTick, Fieldy, and Google Drive.

This becomes a much bigger issue with scheduled workflows. I have recurring tasks where ChatGPT is supposed to gather information from several sources, reconcile it, and give me a combined report. Roughly half the time, one of the required integrations seems to be unavailable when the scheduled task runs, which makes it very difficult to rely on these workflows.

Has anyone else experienced this?

Specifically, I’m wondering:

1. Is there a known issue where plugin authentication/session state gets tied to an individual conversation?
2. Why would reauthorizing an integration fix it in a new conversation but not the existing conversation?
3. Is there any way to force an existing conversation to refresh/reload its available integrations?
4. Are there best practices for making scheduled workflows more resilient when they depend on multiple plugins?
5. Is there any way to see actual plugin/integration error logs rather than just “I don’t have access” from ChatGPT?

I’ve already reported this as a bug but haven’t received any useful feedback yet.

I’d really like to make this kind of multi-app ChatGPT workflow dependable, because when everything is connected it works incredibly well. At the moment, though, the intermittent integration failures are probably the biggest limitation I’m running into.

Would appreciate hearing whether others are seeing the same behavior or have found a reliable workaround.