Blog

where they could speak as close to natural in other languages

Hey all, what AI chat apps everyone here is using for work lately? I’m trying to learn how others are actually using these tools in real life – whether it’s customer support, writing emails, brainstorming ideas, organizing tasks, automating workflows, or anything else. Please share, thanks!

I’ve been researching how chatbots handle memory and the current state is pretty underwhelming. Most implementations just dump your past messages into a vector database and retrieve whatever looks “similar.” That’s not memory — that’s search.

Think about what actual memory does for a human conversation:

You remember facts about the person — they’re a developer, they prefer Python, they have a dog named Max.

You remember what happened — last time I suggested X, they said it didn’t work for their use case. That recommendation was a miss.

You remember what works — this person responds better to direct answers, not long explanations. When I gave step-by-step last time, they actually followed through.

Most chatbots only do the first one, and even that poorly. The second and third are where conversations start feeling genuinely personalized instead of “I looked up your name in a database.”

I’ve been working on this problem myself — building an open-source memory API that separates these three memory types instead of dumping everything into one vector store. Early stage but the approach is showing promise: github.com/alibaizhanov/mengram

Curious what experiences people here have had — has anyone found a chatbot that actually gets memory right?

Looking for an ai sexting app. Any good options? Can you recommend me something good?

I think i am in the right subreddit for the right advice.

Thanks guys.

I’m looking for an Ai chatbot that does the following:

1. Good image generation

A. Actually follows the prompt

B. No censorship

C. Creates images based on the chat. Aka if we are roleplaying about petting a puppy it shows her petting the puppy. Not just a random one of her smiling.

1. Good memory

   A. Doesn’t forget a specific detail I’ve shared 5 messages ago

2. Cost

   A. I understand qualify has a cost. But at least make it reasonable!

I’ve subscribed to quite a few but I’ve yet to find one that actually creates images based on the conversation you are having. They all require an exact prompt.

Would love suggestions.

Hey guys, I’m a published AI researcher and full stack developer. I recently got interested in removing safety alignment from LLMs. I looked at the market and saw that most uncensored LLMs are very weak, so I built my own, coralflavor.com, which is powerful like ChatGPT but totally uncensored. I scaled it to 13k users in just 2 months, would love more feedback, I also encourage you to try to break it and see if it rejects any prompts

Guyz, I got a free ai chat that is generous and non restrictive!!

Join ISEKAI ZERO use their referral code: QGYBR2MV to get free 15 Mana and 5 Arcane extra! https://www.isekai.world/download/qr?utm_campaign=share&utm_medium=referral&utm_content=referral-code&referralCode=QGYBR2MV

I keep seeing demos of conversational AI that look impressive, but when I talk to people building real systems (customer support bots, healthcare assistants, enterprise chat tools), it sounds way more complex than just plugging in an LLM.

For those who’ve deployed something in production — what’s been the hardest part?

Is it:

• collecting domain-specific conversation data?
• handling edge cases?
• evaluation and safety?
• compliance (especially in regulated industries)?

Curious what the real bottlenecks are beyond the hype.

so about 8 months ago I launched a chatbot for a Discord community I run and also as a widget on our website. the idea was simple, train it on our docs and let it answer the repetitive questions instead of me spending half my day on support.

first version was embarassing. the bot would give these confident, well-written answers that were just… wrong. like it would mix up information from different docs or just make stuff up when it didn’t have a good match. users started screenshotting the bad answers and posting them in the server which was fun.

the thing I got wrong was assuming that just uploading documents would be enough. turns out the hard part isn’t generating the answer, its finding the right information to generate FROM. most chatbot tools (and I tried a few, Chatbase, a custom GPT thing) do pretty basic matching and call it a day. the accuracy was always hit or miss.

I ended up spending a few months reworking how the bot actually finds and connects relevant information from the knowledge base. took a completley different approach to how docs get processed and indexed. the accuracy went from “please don’t use this” to “actually useful for straightforward questions.” still not perfect, response time is kinda slow (10-15 seconds) and you have to manually rebuild the KB when docs change which is annoying.

the other thing that helped a lot was building a system where the bot learns from moderator answers automatically. so when a mod corrects something or answers a question the bot missed, that gets captured and the bot uses it next time. that one feature probably improved answer quality more than anything else I did on the technical side.

anyway the thing is called BestChatBot (bestchatbot.io) if anyone wants to poke at it. free tier is pretty limited but enough to test. curious if anyone else has gone through this cycle of “this is garbage” to “ok this actually works” with a chatbot project. feels like nobody talks about how bad v1 always is