Codex, what’s truly valuable isn’t just writing a few lines of code for you, but transforming information flow into workflows.

The most obvious feeling I’ve had these days is: if you just ask it to “help me write a tweet,” the output quickly becomes a template with an AI flavor. But if you ask it to create a process, the value will be completely different:
1. Capture trending posts from X, keeping the publish time, views, likes, shares, comments, and favorites.

2. Let Codex not only see “who’s popular,” but analyze why this post is popular: tutorial collections, resource compilations, project participation paths, or debates caused by changes in probability/odds.

3. Use the same scoring system to filter your own topics: popularity, freshness, controversy, market relevance, capital flow implications, risk warnings.

4. Generate only 3 candidates each time: one for a favorite tutorial, one for a debatable viewpoint, one for cross-market explanation. Don’t generate 20 at once—that only dilutes judgment.

5. Review after 6 hours of posting, not based on gut feeling, but focus on four actions: whether there are replies, favorites, resource visits, or shares. I now prioritize posting “favorite practical posts,” not because they seem the most explosive, but because small accounts need to establish a signal first: that people are willing to save it after reading.

Many people use AI to produce content faster, but a more correct approach might be:
First let AI help you build a judgment system, then let it help you write.
If a piece of content cannot be reviewed, it’s just inspiration; if it can be reviewed, it will become an asset.