I added one line to my Codex prompts, and it fixed the tool's biggest problem

I've found that the problem isn't always the model, though. Sometimes, a tiny change in the way you phrase your prompt can completely change how an AI approaches a task.

I've seen this happen with Claude, Claude Code, NotebookLM, ChatGPT, and recently, I found an equally small tweak that fixes what I think is Codex's biggest flaw. While Codex wasn't all that impressive initially, I gave it another chance a few months ago when.

What Happened

By that point, Codex had improved significantly, and it didn't take long before I started using it much more regularly. I would give it what I would describe as a relatively straightforward task, only to come back to a much bigger change.

• As coding agents become more capable and autonomous, getting better results isn't always about telling them more and is simply about being clearer about what they shouldn't do.

• This one line lets Codex keep doing the difficult reasoning for me while giving it a much clearer definition of what I actually want.

• Part of the appeal of using a capable coding agent is that I don't want to micromanage every step it takes.

Key Details

Instead of making the smallest adjustment needed to solve the problem, Codex would sometimes refactor surrounding code, introduce new abstractions, add safeguards for edge cases that weren't particularly relevant, or make other "improvements" I never asked for in the first place. This.

• I also prefer this approach to loading my prompts with a long list of rules.

• However, it seems far less eager to turn every request into an opportunity to clean up the surrounding code or account for scenarios that may never actually happen.

• Codex still has the freedom to inspect the codebase, reason through the problem, and make whatever changes are genuinely necessary.

Why It Matters

The complaints are especially frequent around GPT-5.6 Sol, which is the newest and most powerful model in OpenAI's current lineup. OpenAI, as with other AI labs, has constantly been directing its efforts toward making its models more capable of long-running autonomous work.

• That distinction has made a surprisingly noticeable difference.

• The goal is to solve the task with as little unnecessary work as possible.

What Reports Say

Coverage of the story so far points to:

• Continued reporting by XDA as more details emerge