I’ve already developed a basic version of a Candy AI Clone using OpenAI’s API. The system supports multi-turn dialogue, persona-based memory, and integrates image generation through third-party services. However, I’m now facing limitations due to OpenAI’s strict moderation policies, especially when working on emotionally expressive or adult-themed content—even when it’s for research or private projects.
I’m actively exploring DeepSeek’s infrastructure as a potential alternative due to its flexibility and performance benchmarks. But I’d love guidance from the community before I start migrating everything over.
Current Setup & Challenges while developing Candy AI Clone
- The current stack includes:
- OpenAI GPT-4 API for core conversation
- ElevenLabs for voice synthesis
- Stable Diffusion (via Replicate) for image replies
- Hosted on temporary cloud (VPS + Firebase DB)
- Main limitations:
- OpenAI’s moderation filters block many prompts, even in private mode
- Lack of long-term emotional memory
- Inconsistent persona behavior across long sessions
This has made it hard to deliver the unfiltered, emotionally deep experience that Candy AI–style users expect.
What I Want to Achieve Using DeepSeek
I want to rebuild my Candy AI Clone on Kaggle to deliver more natural, emotionally intelligent conversations without over-moderation. My goal is to maintain character consistency, allow slightly more open-ended responses, and support features like memory retention, multilingual replies, and faster real-time chat. Ideally, I’d like to run this setup with minimal restrictions, while keeping the infrastructure scalable and customizable for future upgrades.
If I switch to DeepSeek’s ecosystem, here’s what I aim to build:
- Unfiltered text generation with persistent context and personality
- Memory support: long-term memory tied to user profiles
- Multilingual capabilities for global users
- Local hosting or custom fine-tuning if possible
- Optional: Integrate image or voice outputs via other services, if DeepSeek allows such extension
I want to build something closer to Candy AI Clone, but focused on emotional realism and user agency—without running into ethical/legal flags unnecessarily.
Key Questions I Need Help With
- Which DeepSeek model (chat or text) is best suited for long-form, emotionally intelligent chatbots?
- Can DeepSeek be fine-tuned or prompt-optimized to stay in character over long conversations?
- Does DeepSeek allow private deployment or local inference to avoid external moderation filters?
- What are the token limits and rate caps I should consider for real-time chat deployment?
🙏 Looking for Community Insights
If anyone here has tried using DeepSeek for building AI companions or similar long-form interactive agents, I’d really appreciate your feedback. Any sample prompts, architecture diagrams, or tips to replicate a Candy AI-like user experience using DeepSeek would be a big help.
Thanks in advance!