Author: Franz Malten Buemann

About a month or so ago I clicked on an add (I believe from reddit, actually) that opened an in-browser game that I’d like to find again. It was a role play text based game using AI to generate a story and character responses. In the game each character was a monster girl with a different personality, there was a werewolf, a succubus, a vampire, a tiger/cat girl and a dragon girl wearing a chinese dress. The game had a few AI created backgrounds and anime-styled artwork that it would cycle trough, particularly showing the artwork of the corresponding character when they spoke.

The game was free to start playing, and after a while asked to create an account. It had a paid option to generate new backgrounds and portraits for the characters tailored to your current gameplay session. It had maybe an asian look to it, and it did look a bit suspicious/predatory, the kind of thing you wouldn’t be surprised if it tried to install a virus on your computer or fish for your credit card, but it also looked somewhat legit and I remember actually getting to mess around quite a bit before it started pushing me towards buying credits or whatever, and even after, it kept letting me interact with it without buying anything nor blocking me from giving more inputs to the chatbot.

When starting the game you were thrown into a castle/mansion where the characters attacked you. I believe the objective of the game was to romance this characters. Inside the game there was an option to look into the character’s information, which had a small description of the character traits, which I assume that the AI was using to portray each of them (for example the cat girl was cheerful, the vampire was shy and the dragon was a proud leader).

From what I remember the site where I played it wasn’t a page to publish multiple games like steam or itchio, it was it’s own website, and It was definitely not a site full of different settings or characters like character.ai. All the characters in the game interacted with you at the same time inside the story, and it was all tied to the same game, not multiple chats to pick from. It didn’t look like user created content at all, nor did it look like you could create something to share.

Does this maybe ring a bell for anyone here?

For people who’ve deployed LLM/chatbots in production: what actually breaks first?

In my experience it’s rarely “the model is dumb” — it’s usually the webdev/system stuff around it:

i. session state getting messy (multi-tab users, refreshes, auth issues)

ii. streaming responses + UI glitches (partial tokens, duplicate messages)

iii. prompt/version drift between environments

logging/monitoring being an afterthought

iv. users asking things that trigger unexpected tool/API calls

I’m curious what failures you’ve seen most often on real traffic, and what guardrails helped the most (rate limits, fallback flows, evals, caching, etc.)

I suggest re-generating the intro messages

Manually managing appointments in 2026 can feel like a full-time job on its own every business has its own rules, client expectations and quirks, so trying to handle everything with spreadsheets or back-and-forth emails quickly turns chaotic. I’ve seen startups struggle with double bookings, last-minute changes and clients getting frustrated when confirmations don’t arrive fast enough, which not only wastes hours but also stresses staff trying to keep everything aligned across multiple tools. The reality is that AI-powered scheduling assistants, when set up correctly, can automate confirmations, reminders, rescheduling and even prioritize high-value clients, but each business needs a workflow tailored to its specific rules with a human fallback for unusual cases. Start small, test and expand gradually otherwise, automation can create more headaches than it solves. I’ve guided a few teams in building these AI-driven workflows and the difference is night and day; calendars go from chaos to smooth, predictable management. I’m happy to offer guidance if anyone wants to try this for their business.

I’ve tried the main AI companion apps and it’s all the same thing.

Polybuzz is chat + voice.

Kindroid is the closest but its video call is a avatar that is static and the “calls” still don’t feel live.

Soulplay is basically roleplay chat.

None of them let you just open the app and do a real FaceTime-style call with the character. Real-time talking, real-time reactions, actual presence. It’s always delayed, turn-based, or some fake call gimmick.

And before anyone says it, I’ve seen SoulFun get mentioned as AI video chat, but I mean a real live call, not pre-made clips or an animated talking head loop.

It’s just wild that the one feature that would make these apps feel real still isn’t a thing.

A lot of tech discussions around AI focus on benchmarks, speed, or raw capability. But in real use, especially over weeks or months, something else becomes important consistency. When tone shifts, memory breaks, or context resets, the experience stops feeling usable, even if the model itself is powerful.

Long form interaction exposes design questions that don’t show up in demos. How do you preserve intent over time? How much memory is helpful versus intrusive? And how do you prevent conversational drift without over constraining the system? These are less flashy problems, but they matter if AI is going to be part of daily life rather than an occasional tool.

While exploring how different products approach this, I came across platforms like Crushh https://www.crushh.ai/ that emphasize emotional continuity and long term interaction rather than one off prompts. It raised interesting questions for me about whether the next leap in AI UX is less about intelligence and more about coherence.

Curious how others here think about this shift and whether conversational consistency is being underestimated in current AI development.