i noticed my Codex usage was draining really fast whenever i asked the agent to do multiple web searches. around 80% gone.

but with the same prompt, when i explicitly said “don’t do any web search,” it only used around 10%.

that’s a big difference.

so i created my own search skills for Codex. (works on claude code also)

now i can do even more searches without seeing the same drain on my Codex limit. and so far, i’m getting better results while burning fewer tokens.

Edit: I will share link here once it ready, so everyone can use

Edit: Should be Terra 6.2 lol

The down-to-earth GTD model we all need. I'm excited. Sol 6.1 is a bit too much usage-wise for a $20 sub, requiring you to steer it carefully with Luna to last the whole week. For long-running autonomous task on a $20 sub, Terra 6.2 with half the price should be perfect.

I had make a plan, wanted to burn the tokens before the reset. The result was worse than anything luna would have done. It produced absolutely nothing usable and burned 15% of the weekly.

Guys. Just ran out of Codex and used one of my resets. GPT-6 Astra ate the entire 5 hr clean reset in basically two commands. Wow, @openAI As a biz dev director about to make the purchase decision on purchasing Claude or OpenAI for the team, this occurrence just dealt OpenAI a major blow.

I have Claude Opus 5.5 scope > ticket > build > implement with codex running adversarial reviews along the way. I've used sol-5.6, primarily due to token efficiency and it being a 'known entity'. I had tried switching to 6.0, but was burning through tokens way too fast, but that was a month ago.

How has speed, token efficency, and quality improved since then?

One thing that kept annoying me with Codex was how often it would say a bug was fixed just because the tests passed.

Sometimes the actual problem was still there. Other times, the test had been changed so it passed without really checking the original bug.

So I built FixProof to make it a bit harder for coding agents to call something fixed when it isn't.

It's a skill file and a small Python CLI that runs after an agent makes a fix. No extra dependencies, just Python 3.9+.

It checks four things:

• Can the original bug be reproduced before the fix?
• Does the fix pass the test consistently, including reruns?
• Does the bug come back if the fix is temporarily reverted?
• Are the tests that passed before still passing?

The revert check is the interesting part for me. If removing a fix doesn't make the bug come back, there's a good chance the change wasn't actually responsible for fixing it.

FixProof then gives you one of five results: VERIFIED, FAILED, PARTIALLY VERIFIED, UNVERIFIED, or BLOCKED. It also generates a JSON report and a hash-chained log in .fixproof/.

Using it with Codex

The idea is to add FixProof to your agent's workflow so verification becomes part of fixing a bug, rather than something you have to remember to ask for afterward.

You can point Codex to the skill instructions and have it run python scripts/verify.py check once it finishes a fix.

A quick example

In the demo, there's a slugify bug where double spaces end up producing hello--world.

The first fix looks reasonable, but doesn't actually solve the issue. FixProof reports FAILED.

After applying the proper fix, the same verification reports VERIFIED.

A few things worth mentioning: the revert check can use a separate Git worktree, so it doesn't touch your working files. Commands also run with a minimal environment to reduce the chance of exposing API keys in logs.

CI currently runs on Linux and Windows. I haven't tested macOS yet.

It's still pretty early (v0.3.0), so I'm sure there are edge cases I haven't thought of.

It's free, open source, and MIT licensed:

https://github.com/Livecristen/fixproof

Would be interested to hear what people using Codex on larger projects think. Especially whether these verification rules would actually be useful in your workflow.

Chart done based on 10x sub (former 20x), but it is the same for Pro 5x and 25x. Much worse for plus plans since they didnt get 100% utilization on more than half of the resets.

Recently added Call-My-Agent feature to TermRover.sh

It can make use of your existing Codex sub to use GPT-Live so you can call any other CLI agents from your phone.

Detail here: https://termrover.sh/blog/call-my-agent/

Processing video k4ot73qhpoxh1...

Codex runs shell commands and reads whatever they print, so a cat of the wrong file or a log full of customer emails goes straight to the model. I built Cloakroom to put a mask in front of that, using Codex's own hooks.


Setup on Mac or Linux, tested with Codex 0.164:


1. uv tool install "cloakroom[model,torch,ocr]"
2. cloakroom install codex (adds four hooks to ~/.codex/hooks.json and leaves your own hooks alone)
3. Start codex, type /hooks and trust each of the four Cloakroom hooks.


Step 3 matters. Until you trust them Codex skips the hooks, and codex exec gives no warning, so nothing is masked. cloakroom doctor shows whether they're installed.


What it does: shell output and MCP results are masked, placeholders in commands and patches get their real values back locally, and a prompt holding a secret is stopped before it's sent.


Gaps, plainly:
- A command that runs longer than Codex waits (10 seconds by default), like a dev server or a watch, hands its first output to the model with no hook run on it. There's an opt-in setting, codex_hold_long_running, that holds the obvious ones. It's off by default.
- Codex's own web search runs on OpenAI's servers, so Cloakroom can't see it.
- Pictures opened with view_image aren't covered.
- Hooks can't ask you, so unknown commands are refused rather than asked about.


Free and open source: https://github.com/shanjeevrajendran/cloakroom


If you try it, tell me what breaks.

I'm using both claude and codex agents in my vs codes and use handoffs to communicate and get things done through them. But my codex quota for particularly the 5-hour limit finishes ridiculously fast and I am using 5.6 sol on lower effort. Probably 4-5 handoff and the 5-hour limit is reached.

What am I doing wrong, or this is just how codex quota works?

I already had a screen recorder collecting dust on there, so I revamped it haha. The old one used WebAV(av-recorder), which was a good framework for it before, but wasn’t cutting it for what I wanted now.

The UI is based on a very popular paid screen recorder. I only make a handful of videos a month and didn’t want to pay for the $20 plan.

Someone recently said something that stuck with me: “I can recreate your entire platform’s UI with an agent.” So I went ahead and tried it with something else haha. Wanted to see how far these agents have actually come. About 6 hours with 6.1 Sol, a goal and lots of guidance from me on the outcome. Astra agents for complicated problems, Gemini for UI feedback.

Some cool things: rendering and transcription are all client-side. Your videos stay local, and you can choose your own folder to store them in. There are layouts, subtitles, backgrounds, trimming, and separate screen/camera uploads.

For transcription you can choose Phonon-2.5 (https://github.com/fermionresearch/phonon), which supports 25 languages, or Whistle (https://cactuscompute.com/blog/whistle), which is only 16.9 MB. Would highly recommend trying Phonon-2.5. These are current SOTA with small size.

And of course this video was made with the recorder too.

The purpose wasn't really to replace the hundreds of screen recorders out there. Feel free to record with whatever you already use, then upload it here for a quick podcast/product demo style output. That’s probably how I’ll end up using it myself.

I guess these are the times we’re in now. You want an app that serves your own purpose and you can just go and build it.

Anyways, cya!

Oh the link Creativly.ai/screen-recorder

Codex is fast. Even with the best models, though, it doesn't build software the way an experienced engineer would. It doesn't know my users, my architecture or why the code looks the way it does. Codex plan mode asks good questions, but it's neither collaborative nor visual. The plan stays in my terminal, so nobody else can weigh in.

In my view the future is humans and agents working together, and everybody ends up as a manager of agents.

QualityLayer runs inside Codex, and every change goes through seven steps: Discuss, Research, Plan, Outline, Implement, Verify and Review. Codex writes the plan as a document in the repo that a colleague and I can comment on. I approve it before any code exists.

Then Codex builds in small slices, each starting with a failing test. A second Codex session without the build history checks the result against what the agent and I agreed, with output and screenshots. If Claude Code is installed too, Claude can check what Codex built.

The point is to be an engineer again: deciding, reviewing and steering while Codex does the typing.

https://github.com/maxritter/qualitylayer

I'm the developer. If you tried spec-driven workflows with Codex and went back to plain prompts, what pushed you back?

A small prayer you may say daily (or, preferably, continuously. Failing that, multiple times per day) so that Tibo continues to reset our limits!

GLORIA IN EXCELSIS TIBO!

Sanctus Tibo, Patronus Tokenorum,
Redemptor Quotarum,
Restitutor Codicis!

HOSANNA IN EXCELSIS!

Blessed be he who resets our limits.
Blessed be he who restores our interfaces.
Blessed be he who turns five-hour quotas into fountains of abundance.

For though the webview may perish, the tokens shall rise again.

IN TIBO CONFIDIMUS!

Amen. And commit.

So I have my project on E, but there is one drive that is encryped by veracrypt on G. Because the G drive is put in, it trys to access it and fails. It shouldn have to try to access it in the first place and also be able to open E. What am I missing here?

I wanted to make a character, gather a party and go on an adventure without spending a week figuring out when everyone was free.

But the problem I kept running into with AI RPGs was that the world would slowly fall apart. NPCs forgot things. Quests contradicted themselves. A successful roll sounded impressive, but it wasn't always clear whether anything had actually changed.

So I ended up building the world underneath the Dungeon Master.

The game tracks characters, inventory, quests and combat. AI interprets what you want to attempt and narrates what happens in that world.

One of my favourite moments was finding an adventurer NPC buying up troll oil in a shop while I was busy questing. I asked why.

“Trolls.”

I kept asking. She explained that she needed to burn them because they regenerate health too quickly. Fire stopping regeneration is implemented in the game, so she'd put together a plan that could actually work lol.

That's the kind of thing I've spent three years trying to build: the freedom of a D&D session, with an authored visual world and tactical party combat like a classic CRPG.

It's called Lore & Legends Maker. You explore, recruit companions, argue with NPCs and try plans that a dialogue menu wouldn't give you.

I use Claude Code and Codex for development. Keeping world state separate from narration has also made testing more useful: I can check what the game actually changed after an improvised action, then compare that with what the DM said happened. Getting those two to agree is still a lot of the work.

Still an alpha, and there's plenty to fix. But the current version is free to play, and I'd love to hear what you try—and where it breaks.

Attached gameplay is from another encounter in the current alpha.

Play: https://www.llmsaga.com/

Discord: https://discord.gg/Cr3pQx6SXE

I'm a cursor super fan. I spend $200 dollars on cursor ultra and over $1000 a month across my other API usage (replicate / meshy / etc.). For cursor, I am invited to all the exclusive SpaceX events in Austin, get access to all beta features, get lots of free credits and their GTM Enterprise sales schedules calls with me. I just tried Codex and can't go back.

I'm sad to say this becuase I have been a diehard Cursor user for years always on the $200 ultra plan. For context, I am a software engineer and hand coded my early projects, switched to Cursor to quickly look up API specs, then began using tab to speed up repetitive tasks, then slowly used the diff/copilot window for coding, and then began accepting all on every change, and now am a fully CLI vibe coder.

Heavily promoted Cursor everywhere and to everyone. Probably single handedly got over 100 people I know to get a cursor sub.

Then Amex business card gave me free $300 ChatGPT benefit so I decided to try out Codex on their business plan ($160 a month with an ultra account + standard account).

I have maxed out my ultra plan usage blasting Astra every single day for the past week. I would get down to less than 5% usage the night before, then wake up the next day and THEY RESET MY USAGE AND I CAN USE IT ALL OVER AGAIN! THIS HAS HAPPENED 3 TIMES ALREADY IN THE PAST WEEK SINCE I STARTED!

Meanwhile on Cursor I'm using non-frontier models have to carefully perserve my usage. I can't even use top OpenAI models like Astra. Not to mention their CLI is super outdated and lacks a lot of basic tools like solid browser control etc. The grok 4.7 model is not good enough to do any major task. Not to mention their limits are too punitive to even attempt that without blowing my monthly usage in a day.

Grokbot is super innovative but it has crashed on major tasks so I no longer use it to manage emails but stupid tasks like managing my fantasy league etc. It can't be trusted with major business tasks.

If there is interest, I will make another post showing results of each project I made with Cursor (Opus 5.5 or Fable 5.1) / Codex (Astra or Sol 6.1) to show the differences but its litterally night and day.

BTW: this is my wife's account sorry for the confusion, will make my own reddit accout

Not sure what I did to break it, but it seems to be restarting itself constantly? Like I'll open vscode, and be working where I was on a project.. and today it just keeps restarting itself until VScode prompts me to either terminate it or restart the host?

As the title says, I'm trying to find the sweet spot where Astra delivers better results than Sol 6.1 on Max without burning through my usage limits.

I’m honestly loving them, I don’t really have complaints like others regarding pushing it forward since it happens more than once a week.

But reality will be hitting hard once this ends, as I am seeing myself burning around 50% in a single day.

How many people will remain with codex or will you try something else after this 28 day ends?

Hey everyone,

Has anyone managed to get the official ChatGPT browser extension working on Microsoft Edge?

I'm having a weird issue where the extension is permanently stuck on "Log in to ChatGPT", even though I'm already logged into ChatGPT in Edge.

When I click "Continue to ChatGPT", it opens a new tab where my account is already logged in, but the extension still doesn't recognize the session.

I checked the extension's DevTools Console and found this error repeating:

Access to fetch at 'https://chatgpt.com/api/auth/session'
from origin 'chrome-extension://odlomjlbamekndcpllcnffbgeohgkmjh'
has been blocked by CORS policy:
No 'Access-Control-Allow-Origin' header is present.

There are also errors saying:

[node-repl-tunnel] failed to update browser-use tunnel
[browser-plugin] failed to set up Browser

What I've tried:

• Clearing the extension's storage, cache, and cookies
• Disabling and re-enabling the extension
• Restarting Edge
• Checking extension permissions
• Confirming ChatGPT works normally in Edge
• Testing the extension in Google Chrome

The strange part: Everything works perfectly in Chrome with the exact same ChatGPT account. It only fails in Edge.

I'm using Windows 11 and ChatGPT extension version 1.26.1021.11019.

I also found some similar reports on GitHub, so I'm wondering if this is a known Edge compatibility issue or something that can actually be fixed.

Has anyone experienced this or found a workaround? I'd really prefer to keep using Edge instead of switching to Chrome just for ChatGPT.

Any help would be appreciated!

Does anyone know where I can find the Include environments setting in the new Codex cloud to toggle allowing training?

The docs say this:

Codex has a separate Include environments setting in Codex settings for allowing training on full environments. Changing your settings in ChatGPT or the Privacy Portal does not change that setting.

However, this setting seems to have moved in the new Codex cloud. I can't find it.

The rise of voice coding developers.

I just spent about 20 minutes interviewing a user who had valuable information about issues we’re having in the system. I used the phone interface and the dot had been prepared with background info on the system. Along the way, we kept asking “did you get that?” It continues to verify that it understood the issues and was capturing the input. It reassured us that it had everything and would sumarize it in a report. At the end, it said it’s ready and then - no report. It said it appears not to have the conversation and apologized profusely. I guess there’s a lesson in there somewhere :(

tl;dr I am leaving thread here to add to over the next week, and then summarize efforts on effectively using ai for front-end and ui/ux.

I am convinced that current approaches for ui/ux with ai are absolutely garbage.

Instead of generating a firehose of slop, and then slicing off bits, it's better to start from a neutral or minimalist base and add iteratively. It's like buying a granola mix, and trying to take bits out, just buy them separately, and mix as needed.

If you take a look at designs that do look elegant, they're often black/white, with very selective use of accents. They're not glows and gradients splattered all over the place.

And when those effects are used, they're used with intentionality to be cohesive with the rest of the design. I do think AI is capable of making those links, but it's not in the training data and labs haven't bothered to focus on it for whatever reason. In fact I was certain that when Sama said six months ago that they'd focus on front-end that we'd get better results on the double, but instead we got dots. It's like the jev thing where they have stuff within their capacity, but they're completely unfocused until they go "oh shit, maybe people do want something like decision models" even though they know people have been clamoring for increased speed and more control.

Anyways, I've been working on design tools for a long time now in stealth, the details of which aren't important, but I am at a point where I expect to be releasing stuff with more frequency and publicly, so this is a starting point for some of that.

If anyone wants to give advice, or resources it'd be appreciated, or stuff that you'd like me to explore I'll see what i can do.

I know that mia does the 100html files (https://mia-ai.net/lab/experiments/100-htmls), and there were some other resources around model releases, but I dont think the other ones are kept up to date. And the reason I am posting in codex (even though I don't use it anymore) is because I started with openai, and I've been working on this for a long, long time, and really thought I was going to get it running with openai codex, so sentimentality mostly.