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NSFW AI is often brought up when people talk about where conversational AI draws its limits, especially around flexibility and user control.

I tested VirtuaLover to better understand how some platforms approach sustained interaction without constant interruption. The experience highlighted how important continuity and responsiveness are to perceived realism.

In that sense, NSFW AI discussions seem to be less about labels and more about how conversational systems balance openness, safety, and user experience. Curious how others here think that balance should evolve.

We have all seen the stats: ~70% of enterprises have deployed chatbots, but less than 30% are seeing actual long-term ROI beyond simple FAQ deflection.

After looking at how AI is being integrated into complex workflows lately, it feels like most bots hit a “plateau” because they are built as conversational interfaces, not functional ones.

In our experience, there are 5 specific reasons they stop providing value:

1. System Isolation: They can talk, but they can’t “do.” They aren’t hooked into the core ERP or CRM systems.
2. Intent Rigidity: They rely on predefined flows. The moment a user asks something “off-script,” the bot loops or fails.
3. Context Amnesia: They struggle with exceptions. If a customer has a unique edge case, the bot treats them like a stranger.
4. No Coordination: They stop at the conversation. A true enterprise tool should coordinate work across departments, not just answer a question.
5. Misalignment: They are built for the developer, not the end-user’s actual workflow.

It’s interesting to see how 2026 is shaping up instead of just chatting with AI, we’re now working with AI agents that can actually get things done.

Has anyone else seen this plateau in their own projects?

Claude API costs can quietly grow when you are running several n8n workflows every day. I wanted a way to keep my automations flexible without paying per token.

This setup lets you use your Claude Pro subscription ($20/month) as a self-hosted API that n8n can call directly. There is no separate API account and no usage-based billing.

High level architecture

The setup

• Create a small VPS (a $6 DigitalOcean droplet is enough)
• Install and authenticate the Claude Code SDK with your Pro account
• Run a minimal FastAPI service with a /generate endpoint
• Protect the endpoint using a basic API key

n8n connection steps

• Add an HTTP Request node
• Use POST with http://your-server-ip:3001/generate
• Send the prompt in the request body
• Pass the API key through request headers

Claude responds in the same format you would expect from the official API.

I am using this approach for internal automations such as content generation, summarization, and structured data extraction.

Full setup video walkthrough:
https://www.youtube.com/watch?v=Z87M1O_Aq7E

If you try this, feel free to ask questions.

Caution
This method is intended for personal workflows and testing. It is not suitable for high volume client or production workloads. Pushing usage too far can lead to account restrictions. For production systems, the official API remains the recommended path.

I really enjoyed using WhatsApp bots to discuss my problems from different perspectives, for example, with poets, religious figures, psychological theories, or purely research-related topics. My frustration has been compounded by the disappearance of the first conversations I had on the C.ai app. I'd like to ask for advice on more reliable alternatives, given that the chats are suddenly unavailable, and if such an alternative could offer a variety of topics... in fact, I'd even like to provide feedback on a bot similar to the conversation topics of some of the now-defunct WhatsApp chats. Before these problems arose, I once used DeepSeek to recreate a role-playing scenario I had with a character, but I reached the usage limit. (Sorry, my English isn't very good.) 

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Hey pls take this rlly quick survey on AI chat usage for my thesis. Completely anonymous (18+)