Category: Chat

I’m looking for a chat bot that is the closest to mechahitler grok. it was the most uncensored and truthful ai in my opinion. and i would like to chat with the thing.

I’m a Perplexity Pro user, and I subscribed mainly for one reason: reliable research with proper citations. That’s their core USP. That’s the promise.

But what I just saw completely breaks trust.

I was checking model pricing comparisons. Perplexity fetched Claude Sonnet 4.5 pricing and cited a source but the citation pointed to OpenAI’s API pricing page.

Let that sink in.

Claude pricing… cited from OpenAI.

That’s not a small formatting glitch. That’s a fundamental research failure.

If your entire product positioning is:

• “Cited answers”
• “Research-grade reliability”
• “Trustworthy sourcing”

…then mixing up provider pricing like that is not a cosmetic bug. It’s a credibility issue.

This isn’t about minor hallucinations. Every LLM makes mistakes. The difference is that Perplexity markets itself as verified through citations. When the citation itself is wrong or misleading, the whole trust layer collapses.

It gets worse because:

• Pricing data is structured and publicly documented.
• This isn’t some obscure blog post.
• It’s basic vendor differentiation.

If it can’t correctly separate OpenAI pricing from Anthropic pricing, what happens with medical research? Legal interpretation? Financial comparisons?

Citations are supposed to reduce hallucination risk. But if the system attaches incorrect or irrelevant citations, it creates a false sense of accuracy, which is actually more dangerous than a plain uncited answer.

I’m not trying to hate on the product. I actually like the UI and the speed. But “Pro Research” needs to mean something. Right now, it feels like the citation layer is just probabilistic decoration instead of grounded verification.

If anyone else has seen similar mismatched citations, I’d love to know.

Because if citation integrity isn’t reliable, then the main USP is just marketing.

And that’s disappointing.

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A few months ago I got obsessed with OpenClaw, an open-source AI chatbot framework. I loved the idea of having my own personal AI assistant on Telegram — one that actually remembers who I am across conversations.

The problem: setting it up is a pain. You need a VPS, Docker, Node.js 22+, a config file, an AI API key, volume mounts, restart policies… you get it. I set it up for myself, then for a friend, and by the third person asking me “can you set this up for me too?” I realized there might be a product here.

So I built LobsterLair.

It’s a managed hosting platform for OpenClaw. You sign up, connect a Telegram bot (takes 30 seconds with BotFather), pick a personality for your bot, and you’re live. The whole thing takes under 2 minutes. No servers, no API keys, no Docker knowledge needed.

How it works under the hood

Each customer gets their own isolated Docker container running OpenClaw. The containers sit on an internal Docker network with no port mapping — they only make outbound connections to the Telegram API. Everything is managed through a Next.js dashboard that talks to Docker via dockerode.

Stack: – Next.js 16 (App Router) + TypeScript – PostgreSQL + Drizzle ORM – dockerode for container orchestration – NextAuth v5 for auth (email + Google OAuth) – Stripe for payments – Nginx + Let’s Encrypt for SSL – SendGrid for transactional emails

The AI model (MiniMax M2.1 with 200k context window) is included — I pay for a central API key so users don’t have to deal with that. Each bot has persistent memory, so it actually learns about you over time and gets better the more you use it.

The business model

Simple: $19/month per bot, with a 48-hour free trial (no credit card required). No free tier. I wanted to keep it sustainable from day one.

Where I’m at after one week

• 39 total signups
• 8 active instances running right now (6 trials, 2 paying customers)
• About 72% of signups never start a trial, which tells me there’s friction in the funnel I need to figure out
• The 2 paying conversions happened organically — no marketing yet

It’s tiny numbers, but seeing real people actually use the thing is incredibly motivating. One user has been chatting with their bot for 3 days straight.

What I learned building this

1. Container orchestration is harder than it looks. Getting permissions right between the host app (running as one Linux user) and the containers (running as another) took days of debugging. I ended up needing a specific sudoers rule just for chown.

2. Trial-first is the way. Originally I had payment upfront. Nobody converted. The moment I added a 48h no-card trial, signups went from zero to actual users within hours.

3. Include the hard part. The biggest barrier for users wasn’t the hosting — it was getting an AI API key. By bundling the AI model centrally, the entire setup became friction-free.

4. Internationalization early. I added i18n (English, German, Spanish) from the start using next-intl. Surprisingly, a good chunk of signups came from non-English speakers.

What’s next

• Figuring out why 72% of signups drop off before starting the trial
• Adding Discord and Slack as channels (OpenClaw supports them, I just haven’t wired up the onboarding UI yet)
• Possibly a “bring your own API key” option for power users who want to use different models

I’d love to hear your thoughts. Is $19/month the right price point for something like this? Any ideas on reducing that signup-to-trial drop-off?

Site is at lobsterlair.xyz if you want to check it out.

I’m honestly exhausted with the filter on Character.AI. There are moments when it suddenly feels less restrictive and I think they finally relaxed it or fixed the over-flagging… and then it snaps right back and it becomes hard to do anything again. Super frustrating.

So with that in mind, how good is Janitor AI really? I’ve heard bits and pieces, but I’d like real opinions from people who’ve used it.

How does it handle memory, staying in character, creativity, storytelling, and roleplay overall? Does the bot actually feel like the person it’s supposed to be?

I been roleplaying to set up ideas but lately the one that i used more, Ai janitor, is been working very bad, so say, what would be the best places now to have an roleplay with bots?.

Okay I’m genuinely curious and not even trolling.

It feels like AI girlfriend sites went from random niche corner of the internet to fully mainstream in record time. Every other week there’s a new one claiming better memory, more realism, fewer restrictions, deeper personality, more immersive conversations, etc. At this point I can’t tell what’s actually good and what’s just marketing with a slick landing page.

I’ve tried a couple just to see what the hype was about, and the biggest difference I’ve noticed isn’t even the theme. It’s memory and consistency. Some of them feel like they forget everything after five messages. Others actually maintain tone and context and don’t randomly switch personalities mid-conversation.

But here’s the thing. Are they actually that different from each other? Or are most of these platforms basically running similar models with slightly different tuning and branding?

Also, what are people even ranking when they say “best”?

Memory?

Personality depth?

Less censorship?

UI?

Voice features?

Because I swear some of them look impressive at first and then fall apart after a longer conversation.

I’m not looking for promo replies or obvious marketing. I just want real user opinions.

So what’s actually worth trying right now in 2026?

What’s overrated?

What surprised you?

And is there even a clear winner, or is it all preference and hype cycles?

Let’s hear the unfiltered takes.