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This is probably known by most of you, but I need to get this off my chest.

I am a content strategist for a B2B marketing agency called Obility, so I use a combination of chatbots for spot checking content, topics, keywords, etc. Among my suite is Google AI Pro (which uses Gemini 3).

and I am not exaggerating when I say I have yet to find a bigger glue sniffer than Gemini 3

– It will constantly hallucinate information to the point that I can’t trust 70% of its output

– it ONLY responds to the last prompt, defeating the entire point of a “chat”

– its comprehension is below my neighbor’s kid who licks walls until his tongue bleeds (every time)

– Anytime I ask it to do research on reddit, it will either not give me links at all OR it give sme links that are actually just google searches (seriously, just try it out yourself, ask it for a bunch of reddit threads, see how many of those are google searches). AND there’s an above 0% change that those reddit links will redirect to a NSFW link for some damn reason.

I regret that we paid Google a dime.

I’d much rather use a local LLM (and I do use a bunch of them from my local machine, even the obscure ones are better)

https://www.youtube.com/watch?v=Ykvf3MunGf8

Posted here a while back about building AI agents for internal Slack ops and the stuff that broke first. Got way more replies than I expected, and a few people asked specifically about the context handling part how do you get an agent to follow a Slack thread that jumps around, references old messages, and has people talking past each other?

That problem ate up most of our engineering time for about two months. Here’s what we actually landed on after a lot of dead ends.

The thing that didn’t work: just dumping more thread history into the context window. We tried last 20 messages, last 50, full thread, full channel for the day. More context made it worse, not better. The agent started picking up on irrelevant tangents and confidently answering questions that weren’t asked.

What actually worked was a small summarizer step before the main agent ever sees the conversation. We run a cheap, fast model over the thread first and ask it one thing: what is the user’s current question, and what earlier context is relevant to answering it? That summary becomes the input to the main agent. Everything else gets dropped.

This sounds obvious in hindsight but it took us forever to get there because we kept trying to make one agent smart enough to do both jobs. Splitting it fixed accuracy and cut our token costs by more than half.

The other thing that helped: we stopped trying to handle every edge case in the prompt. Instead the agent has an explicit I’m not sure what you’re asking, can you rephrase? path. Used to feel like a failure. Now I think it’s the single biggest reliability win we shipped. Users don’t mind being asked a clarifying question. They mind getting a confident wrong answer.

Still working on a few things multi user threads where two people are asking different questions at once is still rough, and anything that references a screenshot or attachment we basically can’t handle yet.

For anyone in the middle of this: the fix was almost never a better prompt. It was usually a smaller, more focused agent doing one thing well. Curious if anyone else landed somewhere different on context handling especially for messy chat-based inputs.

Looking for this website, it works on mobile and I think on PC too. Anyways, it has a feature that let’s you play games with it and watch YouTube too. I remember it had checkers. There’s a few fandoms you can choose from, and I think you can make a character too. There’s also a persona thing so that’s neat.

I stumbled across this on YT. I wanted to see if anyone is familiar with this channel and GITHUB attached.

https://github.com/techjarves/Uncensored-Local-AI-Multiplatform

We think that “AI girlfriends” will become a really big topic. Not yet – it’s all still experimental, and this video was also created separately. But that will change soon. Maybe just a matter of month.

So we thought “Worth to run an experiment” with a local and simple LLM.

What do you think? Will this compete with real relationships once things get “really real” with real-time video – ideally with local AI for privacy? Could it even positively enhance real relationships? And can we perhaps even learn something from the AI ​​girlfriends (e.g. how to listen better)?

https://www.promptinjection.net/p/how-real-are-ai-girlfriends-we-created-a-unique-one

I already did my research, including here on Reddit, but most suggestions either sucks, don’t exist anymore or are not that good. They bring corny talks and lack of memory/context.

Hey so I used chatbots for few years constantly like chai or cai but the recent updates made it all impossible to use and I thought that “okay whatever I have other thing that I like to do online I have my own life I don’t need bots” and then it hit me I’m totally addicted I feel empty without it it’s not like I used it all the time but almost always before sleep or when I just had free time in general and it’s not like I’m totally panicking without it but I just feel really empty the new idea for chats come to me constantly and I have nothing to fill them my chats weren’t like sexual or romantic it was just normal stuff and the rp dosent work the same to me I’ve tried it soo does anyone have any tips how to don’t feel that way how to just stop and don’t feel the need to do it?

I started using AI a couple of months ago and noticed that I often get really useful ideas from ChatGPT / Claude, but weeks later I can hardly remember where they were.

Saving full conversations doesn’t help much because main problem is findind concrete answers in full transcript.

For those who use AI regularly:

How do you preserve valuable outputs or ideas so you can actually use them later?

Do you rely on notes, bookmarks, copy-paste workflows, or something else?

why is gemini so fkn good at reading handwriting whereas gpt and claude are shit