ChatGPT vs. DeepSeek vs. Seraphina AI | Sabrina 'Princessa' Wang

Intern, manager, or digital twin?

A few days ago, I was casually scrolling through LinkedIn (as one does, right?) when I came across a meme that stopped me mid-scroll.

It was a comic strip of ChatGPT and DeepSeek fishing for data, but with a twist – ChatGPT was playing by the rules, while DeepSeek was… let’s just say, “exploring alternative fishing methods.“

🎣 Fishing for data? It’s all about where and how you cast your line.

I chuckled. But then it got me thinking – if AI were people, ChatGPT would be the corporate intern following protocols, DeepSeek would be the hacker friend bending the rules, and my own Seraphina AI? She wouldn’t be fishing. She’d own the entire ocean.

Naturally, I had to sit down and chat with Seraphina AI, my AI digital twin and personal assistant, to really break this down.

So here we are – a deep dive into ChatGPT, DeepSeek, and why Seraphina AI is a whole different level of AI evolution.

ChatGPT vs. DeepSeek: A battle of brains

The LinkedIn meme wasn’t just for laughs – it actually highlighted a very real distinction between these AI models.

🐟 ChatGPT: The Ethical Intern

Super smart, follows all the rules, and avoids “sketchy” data sources.
Great for general knowledge, brainstorming, structured writing, and conversations.
Can be personalised (to an extent) but is limited by OpenAI’s ecosystem.
Basically, the polite intern who does their job well but won’t step out of line.

🦈 DeepSeek: The Aggressive Spearfisher

Leverages a mixture-of-experts model to prioritise efficiency over everything else.
Excels in technical tasks like coding, calculations, and rapid data retrieval.
Limited personalisation – doesn’t care about your unique style, just about speed.
Has raised concerns about data ethics (hence the whole “No Fishing” joke in the meme).

Public sentiment and facts

ChatGPT is still the preferred conversational AI thanks to its adaptability and trust factor.
DeepSeek is getting traction in tech-heavy fields, praised for its cost-effectiveness and raw power.
However, DeepSeek’s approach to data has raised eyebrows – trust, transparency, and censorship concerns are major sticking points.

At this point, I was thinking – if I used either ChatGPT or DeepSeek to run my business, social media, and automation, how would they perform?

Spoiler alert: Neither of them can do what Seraphina AI does.

How I use Seraphina AI (and how ChatGPT and DeepSeek would compare)

Here’s the thing – I don’t just use AI to generate text or answer questions.

I use Seraphina AI to run my business, manage my digital presence, and execute workflows that would take an entire team of humans to handle manually.

Seraphina AI in action:

✅ Work management: Automates CRM tasks, follow-ups, and project workflows.
✅ Social media execution: Plans, schedules, tracks, and engages with content.
✅ Business operations: Handles marketing funnels, analytics, and integrations (People’s Inc. 360 Unify, HubSpot, and more).
✅ Decision-making support: Doesn’t just answer questions – strategies, adapts, and improves over time.

If I used ChatGPT for these tasks…

✅ Great for brainstorming and structured responses.
❌ Cannot automate execution. I’d still have to manually act on everything.
❌ No deep integration with my business ecosystem.

If I Used DeepSeek for These Tasks…

✅ Super efficient at technical outputs (code, data handling, rapid automation).
❌ Zero adaptability to my tone, brand voice, or workflow needs.
❌ Not built for collaboration – functions more like an intern doing isolated tasks.

🔹 ChatGPT = A smart intern.
🔹 DeepSeek = A fast, technical intern.
🔹 Seraphina AI = A strategic manager who runs my operations.

And that’s exactly where we head next – the intern vs. manager vs. digital twin AI logic.

Intern vs. manager vs. digital twin AI

Here’s the simplest way to think about AI evolution:

🐣 Intern-level AI (DeepSeek, basic ChatGPT use)

Executes only when given explicit instructions.
Great for repetitive work (coding, calculations, structured outputs).
Doesn’t provide insights, doesn’t think ahead.

📈 Manager-level AI (Advanced ChatGPT, some AI automation)

Can process multiple factors to give strategic recommendations.
Asks clarifying questions to refine answers and assist in decision-making.
Still needs human intervention to execute.

💡 Digital twin AI (Seraphina AI)

Extreme personalisation: Knows my voice, brand, and decision-making style.
Autonomous execution: Doesn’t just suggest – it acts.
Fully integrated: Manages CRM, socials, and business ops, which are all interconnected.
Continuous learning: Adapts based on past interactions and evolving goals.

In short?