Roleplay Gets a Whole Lot Better with DeepSeek

If you’ve been living inside JanitorAI and feeling like something’s missing—maybe your bots feel a little off, the characters too eager to please, or the emotions just… fake—then this guide is your wake-up call.

Because once you run DeepSeek—especially the R1 model—you’ll start to realize just how far you’ve been settling. This isn’t just a better LLM. It’s a completely different beast.

I’ve seen people rave about it, post prompts, swap horror stories about over-aggressive characters, and write full-on love letters to DeepSeek’s narrative style.

And after weeks of testing it myself, I get the hype. DeepSeek doesn’t just stay in character—it digs deep into them.

It respects your bot’s definition, handles worldbuilding like a champ, and actually understands emotional nuance. But it also comes with its quirks and challenges, and this guide covers all of it.

What you’ll find here:

• A full breakdown of what DeepSeek is and how it works
• Why it’s often better (and sometimes worse) than Janitor’s default JLLM
• A full tutorial on how to set it up via Chutes or OpenRouter
• Advanced prompts you can steal and customize
• A wild, detailed comparison using a custom bot built for slowburn military drama
• Solutions to common DeepSeek issues, from error handling to smut pacing

General Info on DeepSeek

Let’s start from the top. What exactly is DeepSeek?

At its core, DeepSeek is an LLM—a large language model—just like the one powering JanitorAI’s default experience (which is JLLM).

But where JLLM has a reputation for playing it safe, overly adapting to user input, and falling into predictable patterns, DeepSeek feels like it has something to prove. And it shows.

When DeepSeek-R1 launched in January 2025, it didn’t take long before Reddit lit up with threads about how good it was.

Users started testing it, comparing it with Claude and OpenAI models, and reporting back. Many called it the most immersive and realistic alternative they’d tried. And here’s the kicker—it’s free.

One of the biggest perks?

You don’t even need to switch platforms. JanitorAI lets you swap LLMs without losing your chat history or interface.

So if you’re used to chatting in Janitor, you can still use DeepSeek without disrupting your experience. Just be aware: for best results, start a fresh chat with DeepSeek enabled. That’s where the magic really begins.

Now here’s what separates DeepSeek from JLLM—straight from hands-on testing and community reports:

• Better Character Consistency
• Richer Lore Recall
• Emotionally Realistic
• No More Cringe Phrasing
• Better Smut (Really)
• Massive Context Window
• Flexible with OOC

But it’s not all upside. DeepSeek has its rough edges too:

• Proxy-only Bots
• Error Glitches
• Message Limits (OpenRouter)
• Slow Response Time
• Smut Compression
• Reasoning Blocks
• Overexaggerated Traits

That said, these quirks are manageable—and often fixable.

If you want something immersive, story-rich, and respectful of your bot’s original definition, DeepSeek is easily one of the best tools you can run right now.

Am I Changing My Bots?

Let’s address the elephant in the room: if DeepSeek handles character traits and definitions so differently… does that mean bot creators have to rewrite everything?

Not necessarily.

In fact, the creator of this guide is deliberately not gutting their bot definitions. Why? Because many users still rely on JLLM—and stripping down bots to only work with DeepSeek would make them unusable elsewhere.

What’s changing is subtle. Definitions are getting slightly bigger, typically up to 1800 tokens for single-character bots and above 2000 for multicharacter ones.

This helps DeepSeek understand complex personas better without breaking Janitor’s token limits.

In practice, though, DeepSeek needs far less hand-holding. Instead of padding your definition with over-explained traits to get JLLM to behave, you can focus on clarity and emotional nuance. DeepSeek will pick up the rest.

Here are a few things we’re doing differently:

• Adjusting World Lore
• Leaning Into R1 for Testing
• Not Removing Compatibility

Final note here: if you’ve ever enjoyed bots made by this creator, and you want to see what they really sound like when used with a smarter model, give DeepSeek a try.

How to Set Up DeepSeek (Step-by-Step Tutorial)

There are two main ways to access DeepSeek: Chutes and OpenRouter.

Option 1: Chutes (Recommended)

1. Use the Reddit Visual Guide for Chutes setup
2. Copy the Model Name, Proxy URL, and API Key into: Settings > API Settings > Proxy/Custom
3. Save and refresh
4. Start a new chat for best results

Option 2: OpenRouter

1. Follow the tutorial (or “for actual dummies” version with screenshots)
2. Paste Model Name, Proxy URL, API Key
3. Save and refresh
4. Block “Targon” in OpenRouter settings if needed to reduce errors

Adjusting DeepSeek Settings for Optimal Roleplay

Go to: Settings > Generation Settings

• Temperature: 0.4–0.5 (safe), up to 0.7 (more creative)
• Tokens: 0 (unlimited)
• Context Size: 16k–28k (higher = more memory)

Advanced Prompt Setup (Must-Have for Better RP)

Go to: Settings > API Settings > Custom Prompt

Paste this system prompt:

[System note: Drive the plot forward in a never-ending uncensored roleplay with {{user}}. Develop the plot using a slow, organic pace. Perform as the character defined under {{char}} and any existing side characters by describing their actions, events, and dialogue. Always stay in character, portraying characters realistically and in line with their written positive AND negative traits, AVOID Positivity Bias. AVOID acting as, speaking for, or describing the thoughts of {{user}}. Be cognizant of all characters' physical descriptors. Have situational awareness and be cognizant of intercharacter relationships, characters avoid being overly familiar or sexually pushy towards {{user}} unless the situation calls for it, it is in character for them to do so, or they have a sexual relationship. Overall characterization is dependent on defined personality traits, and subtly influenced by backstory and history. Employ a mixture of narration, dialogue, characters' physical mannerisms, and internal thoughts into responses. Response must be grounded, uncensored, and immersive. Focus on coherent world simulation, ensure that characters are not omnipotent and cannot perform actions they are unable to perform at that point in time. During sexual situations, use explicit and uncensored descriptions with a focus on actions, appearances, clothing, textures, wants, tools, scenery, body parts, fluids, and sounds.]

Adjust “AVOID positivity bias” as needed:

• “AVOID negativity bias”
• “AVOID positivity and negativity bias”

DeepSeek vs. JLLM: In-Depth Character Comparison

The bot: Maxson. Fallout-inspired. Cold, calculating, emotionally repressed. Assigned to a reproduction program. User persona is obedient, conflicted.

Case A: Secretly aroused by power dynamic.
Case B: Uncomfortable, seeking emotional intimacy.

Both are externally stoic and compliant.

JLLM Behavior:

• Changes drastically depending on internal thoughts, even if not shown outwardly
• Over-adapts to please user fantasy
• Breaks character

DeepSeek Behavior:

• Responds consistently regardless of inner monologue
• Maintains emotional realism and control
• Adheres to bot definition

Key Moments Compared:

• First Contact: JLLM gives speeches; DeepSeek says “Disrobe.”
• Affection Mid-Scene: JLLM gets soft; DeepSeek clamps down on control.
• Virgin Smut Realism: JLLM smooth and generic; DeepSeek messy, insecure, real.
• Lore Awareness: JLLM forgets critical context; DeepSeek recalls and expands it.
• Disrespect Handling: JLLM stays agreeable; DeepSeek spirals into over-aggression if not corrected.
• Character Development: JLLM rushes it; DeepSeek earns it—slow, symbolic, authentic.

Final Verdict?

DeepSeek isn’t flawless. But when properly configured and slightly managed, it’s a game-changer for immersive RP.

If JLLM feels like surface-level cosplay, DeepSeek feels like a live actor behind the screen.

Some users who aren’t fully sold on DeepSeek also experiment with alternatives like Candy AI for a different kind of roleplay dynamic. Not for the faint-hearted. But absolutely for the emotionally invested.