The most interesting hour for understanding AI companion apps happens about a day after a model update lands.
You can watch it on r/Replika or r/CharacterAI. Someone notices the new model is colder, or warmer, or has lost a memory thread, or has gained a hard filter where one used not to exist. A first post goes up. Then twenty more. Then a megathread. Then someone screenshots a conversation from before and after. The picture of what just changed comes together in the comments, and most of it is gone from search engines a week later because Reddit’s discoverability for old threads is bad.
This is the conversation we are starting to track every week.
What this column is
A 500-to-1000-word read of what the AI companion community is actually talking about that week. We watch r/Replika, r/CharacterAI, r/KindroidAI, r/Nomi, r/PiAI, r/JanitorAI, r/CrushOn, r/CandyAI, plus the meta-subreddits like r/ChatbotAddiction and the various Discords where the conversation overflows. We pull out the threads that mattered, link to them so you can read for yourself, and give a short read on why they mattered.
We do not paraphrase what users said. The whole point is the original voice. We will quote sparingly, with attribution to the subreddit, and we will always link.
What this column is not
It is not gossip. Drama for the sake of drama is everywhere; we will only cover community conflict when it is about something that matters (a model change, a policy change, a moderation pattern that affects what users can do with the app).
It is not surveillance. We watch public subreddits the way a beat reporter watches a public agency. We do not screenshot anyone’s account, we do not link to people who have not posted publicly, and we do not name individual posters whose comments are not already visible to anyone with a Reddit account.
It is not a substitute for being there. If you use one of these apps and want to understand it, the subreddit for that app is still the best resource. This column is for people who do not want to read every thread every day but want a synthesis once a week.
What we will cover this week, and every week
Model updates, when they happen, and what users say they changed.
Filter and policy changes, especially around adult content and memory.
Pricing changes and tier shuffling.
Recurring questions, especially the ones that show up on every subreddit at once (a sign something category-wide is moving).
Notable migrations, when users move from one app to another and explain why.
The first signs of a controversy that might matter outside the community (lawsuits, regulatory attention, mainstream press pickup).
How to use it
Read the digest, click through to the threads you find interesting, and bookmark what you want to revisit. If you are weighing whether to try an app, the digest plus the main review plus the reader stories column is roughly the picture this site can give you about what you would actually be signing up for.
The first regular weekly digest goes up next Friday.