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I came across Clawra AI that is supposed to turn OpenClaw into an ai girlfriend. There is also a managed platform Clawraai.com to avoid setting up OpenClaw by yourself.

Has anyone tried it yet? I want to know if it’s worth paying for it

Hey everyone, I know there are a lot of people on this subreddit who use apps like ChatGPT, Gemini, Claude. And i have next question – is there any app or extension that helps save chat history in Google Docs or pdf?

It’s so bad i lost all interest in chatting with bots instantly, while they are almost overflowing with greed (new characters pre success extra payment, every shitty picture that’s often not even close to my prompt costs money)

roleplay is cheap ass shit as well, especially the “live” versions, who are highly promoted (and very expensive to get fast access, if you wont spend hours of dull “chatting” to unlock the low effort 10-20 sec videos.)

everything that’s not a simple message requires extra payment (while being premium), even creating characters if you don’t like the existing ones.

rant over.

I had been using Grok for a couple of months with very good results. But now, Grok always says that it is busy and that it cannot respond my prompts. I guess they want me to subscribe to their paid service. So, what alternatives do you know that can handle NSFW prompts?

About six months ago we started building AI agents for internal workflows. First thing we shipped was a Slack bot pretty scoped, just handling repetitive team questions, routing requests, fetching status updates. Seemed simple enough.

Here’s what actually happened that I didn’t see coming.

The trust problem hit faster than expected. Within two weeks our team stopped double-checking outputs. Not because they were lazy because it worked well enough that they forgot it could be wrong. One bad answer sat unchallenged for two days before someone caught it. After that we deliberately built in a confirmation step here’s what I found, does this look right? before any action got finalized. Felt like a step backward but it fixed the problem.

Maintenance is the real job. Building the bot took maybe three weeks. We’ve now spent way more time than that just keeping it working prompts drifting, APIs changing, edge cases we never anticipated showing up in production. Nobody really talks about this part.

Context handling is harder than it looks. Slack conversations are messy. People mid-thread, no clear structure, references to things said three days ago. Getting the agent to handle that gracefully took a lot more iteration than the core functionality.

We’ve built more agents since then for different workflows each one had its own version of these same problems.

Anyone else building agents for internal tooling? Curious what broke first for you and how you handled it.

Has anyone experience with gay chatbots? I’ve created my own over the years as never felt catered for with existing platforms – all very hetrocoded and straight AI boyfriend approach?

Hi!

Im building Opero.so (WhatsApp AI agents platform). Wanted to share the architecture of what I think is the most impactful feature Ive shipped.

The setup is probably familiar. Customer asks something the bot cant ground in its knowledge base. Traditional flow: bot refuses, writes a row in a dashboard nobody opens, knowledge plateaus.

I did something different. When a gap is detected:

1. Agent refuses honestly to the customer (“Ill check with the team”)
2. Notification fires to the owners WhatsApp (same number the customer wrote to, which matters for delivery trust)
3. Owner replies in plain text. Not quote-reply, not form. Just typing the answer
4. An admin engine surfaces the last 3 pending gaps in its system prompt each turn, so the LLM can match the plain-text reply to the right gap_id
5. Admin shows what itll save and asks “save this?”, waits for confirmation
6. On confirmation: knowledge doc created + original customer auto-messaged back with the answer

The two things that made it work: injecting recent gaps into the prompt (no structured link needed), and normalizing questions so “Do you have X?” and “hi do you have X?” dedupe into one gap.

Full writeup with the Go code and the prompt injection strategy: https://opero.so/blog/ai-agent-texts-boss-when-stuck?utm_source=reddit&utm_campaign=chatbots

Anyone building similar feedback loops? Curious how others are handling the teach-the-bot UX.

I’ve been evaluating different chatbot platforms for a client project and Customgpt and ChatBase keeps coming up. The marketing looks great, but I’d love to hear from people who’ve actually used it in real-world scenarios.

I’ve been evaluating different chatbot platforms for a client project and I have narrowed it down to ChatBase, CustomGPT, and Crisp, but I want to get beyond marketing materials.

If you’ve used any of these platforms, I’d love to hear about:

Technical limitations:

• What breaks or doesn’t work as advertised?
• Performance issues with high traffic?
• API restrictions or limitations?

Integration challenges:

• How difficult was implementation?
• Any compatibility issues with specific website platforms?
• Custom styling limitations?

Feature gaps:

• What’s missing that should be there?
• Which one has the best knowledge retrieval?
• Do any struggle with complex questions?

I’m particularly interested in ChatBase vs SiteGPT for knowledge-base functionality, and Crisp for customer support integration.

Appreciate any real-world experiences!