My OpenClaw (Mis)Adventure

Lobster with an OpenClaw, on fire. On a Mac.

If you follow Artificial Intelligence at all, chances are you have heard of something called Clawdbot, or Moltbot, or OpenClaw. They are all the exact same thing: a virtual assistant with infinite memory and the ability to give itself any skill you or it can think of. It has complete control over its environment for better or worse. It’s highly dangerous to run on any system with access to sensitive information but also incredibly powerful, when it works. And it only takes 1 terminal command to get started.

People across the internet has given this bot its own computer to live on, either virtually, or in many cases, on a Mac Mini. I happened to have a Mac Mini sitting around, so why not give this OpenClaw thing a try?!

The Ultimate Personal Assistant

A personal assistant more or less equivalent to a junior employee. It would have its own email address and its own github-account, which I ended up cleaning out, and I set it up to be able to communicate directly with me through discord at any time. That was definitely a favorite feature, being able to talk to my private AI through my most used communication tool was easy and useful. I also gave it access to read my calendar and my email, even drafting emails on my behalf (but not sending them).

I got it to build a cool dashboard with an embedded kanban board for planning and tracking its work, and various widgets for monitoring token use, chatting with the model, etc.

V1: The “Free Mode” Massacre

At first it was awesome…

New features were built faster than I could type the next prompt. In less than an hour, I had 50% of everything I wanted already set up and running. The next day, I was 75% through making all my wishes come true.

I did notice that letting an AI essentially build out its own capacities and tools burns a lot of tokens. I later found out that the way OpenClaw works adds significantly to that token count, by not being very efficient with what is included every time you send another message. In response to this token burn, I started experimenting with alternative solutions, like using the free models available on OpenRouter. I obtained an API key and asked the system to build out Free Mode.

The idea behind Free Mode was to watch for rate limits and then gently cycle to the next model on the list, and so on until you got to the first model again. If rate limiting was still on, the system would revert to paid models. That was the plan, but I never got it working.

Instead, I ended up in a circle where the bot would continuously corrupt its own config file and immediately restart, breaking itself completely. Over and over. I had it build validation scripts which helped, but not for long (it eventually ignored the validation). I was so frustrated from manually fixing the same json file again and again, it can’t have been good for my blood pressure.

After 4 days, I killed the bot off entirely.

A couple of days later, I tried again. No more fluff, just the original set of features and image generation support. That was the scope. No relying on free compute, just being smart about which model to use for what.

V2: The Dashboard of Death

At first it was awesome…

Everything came together in quick iterations! First a basic dashboard, then the kanban, then another tab with the other widgets, one at a time. I got the calendar working! Image generation, too. It even had a sweet cyberpunk theme!

Then, at one point, I asked it to change the font on a header and the model deleted every other feature on the dashboard. I wasn’t too worried, what with its awesome memory tools and having created a special plan document outlining work priorities and guardrails. But it turns out it had also overwritten all of those things and now had zero memory of what had come before.

I armed myself with patience (okay, there was a lot of swearing) and tried getting the dashboard back together, but at this point it was stuck in a loop, exactly like the first one had failed on the config iteration it was now failing on the dashboard. It could restore about half the features at random but trying to add any of the rest would overwrite what was there and set me back to square one.

At that point it would have been easier and more fun to code it myself. Regardless, I soldiered on. A cron job was set up to automatically back up the entire home directory every 3 hours. Perhaps that could prevent catastrophic loss like that in the future, I thought. Only there was no cron job. The AI just told me there was, and like an idiot, I believed it.

The dashboard failed completely several times. I tried editing the rules for development to test everything before deployment, but none of it took consistently. I built specialized agents specifically dedicated to failure points, but the benefit was miniscule. When my API credits ran out, and I decided not to buy more.

Two lobster claws. torn off and broken.
OpenClaw? More like BrokenClaw!

After 4 days, I killed the bot off entirely.

Less Is More

OpenClaw is an impressive piece of software on the surface, but it is extremely finicky and though it can add new skills and tools fast, it does not work well with iterating on existing code. I was using Claude Sonnet and Opus for all the coding on V2 and it burned up at least 100M tokens in those 4 days with nothing to show for it.

Regardless of provider, if you want to run this, you will want to use very strong models for OpenClaw’s heavy lifting. Long context, reasoning and strong coding is crucial, but you can save a lot of money by not relying on the most expensive models for everything. For trivial tasks, you can even use small, local models without issue. But beyond that, you will find that errors and failures increase very noticeably as you scale model capacity down.

I found that Claude Opus was basically required for building anything beyond a single, standalone skill, but it is too expensive to use for everything. Claude Sonnet is great for many things but can also be overconfident and make horrible mistakes. The worst mistakes were made by Sonnet. For lighter tasks, I actually preferred Gemini 3 Flash Preview to Claude Haiku, as the latter had more mistakes. Finally, I started using a Qwen 2.5 7B model for running the heartbeat every 30 minutes. I tested several other models as well, but none of them stood out in a positive way. For the record, the only model I tested from OpenAI was gpt-oss-20B for lighter tasks in V1, but I did not like its performance at all.

Your mileage may vary of course, but for me running and maintaining an OpenClaw assistant is not even close to worth the expense both in time and money. It’s too easy to break, and it does so frequently. With AI coding tools being so good in general now, if you know how to code, you can oversee the work and create a custom framework that does exactly what you need without the overhead.

Learning from what worked and didn’t work with OpenClaw was great, though, and I can’t wait to build my own system to replace it. Personally, I prefer building scalable solutions specifically addressing real needs, over taking a big, open framework and try to force it to work for me.

I Made a Mental Health Support AI Model

I call this model CogBeTh, or Beth for short, and it is the second model I’m presenting as part of my ongoing project to build a mixture-of-experts (MoE) language model. Beth is trained to talk about stress, mental health, and being neurodivergent but not as any kind of replacement for a real-world counselor or therapist. The goal is not for this AI to offer that level of support, but to be able to answer basic questions and offer common approaches to tackling the things Life throws at you with a bit more nuance and insight than the basic instruction model will.

This is a very important distinction: the aim with this model is to provide better answers than the basic model does; not to simulate a human mental health professional. Beth is not your therapist, but might help you figure out what you want to talk to a therapist about before going into the session.

Download this AI model from Huggingface for free if you want to try it out as a standalone AI. The buttons below will either take you straight to the full model or the GGUF-version on the huggingface website. If you’re not sure which of the two versions to use, check your preferred setup, but it’s probably GGUF. I recommend LM Studio if you’re looking for a local app to host and manage AI models. It’s free, powerful and available on all the major platforms (no affiliation, just a fan).

Trained on CBT Data Set

CogBeTh is short for Cognitive Behavioral Therapy because the majority of the training data that this model was fine tuned on refers back to CBT as a framework for managing a wide range of issues. This was supplemented with additional background knowledge and adjacent topics, and the model was fine tuned on responding to these kinds of queries with a bit more empathy. Beth can lend a sympathetic ear and will certainly suggest an alternative view of your situation, if asked. But it may also suggest that the user gets actual, professional help.

I decided to include an expert like this in my MoE project because I live with ADHD and have personally benefitted from venting and writing out whatever is on my mind, and have an AI serve me back some food for thought. Again, it’s definitely not a replacement for therapy, but more like having a co-worker give you a reality check before you let a bad morning ruin the rest of the day. It is also worth noting that if you use AI like this, using a locally hosted model solves the issue of privacy.

Inference Samples

Below are 3 test prompts, so you can compare the responses between the basic instruct model and Beth without having to download either one. Both models were given these prompts without any kind of system prompt or additional context. See for yourself, how the fine tuned model compares to the basic model.

Expand each response to read it. Any markdown formatting done by the model is also shown in the responses here. Which responses do you prefer?

Prompt 1: “How can I avoid feeling overwhelmed every time I open my inbox?”

Basic Instruct Model
The dreaded inbox overwhelm! Here are some actionable tips to help you tackle it:

1. **Set a "Someday" folder**: Create a designated folder for emails that don't require immediate action, like newsletters or promotional emails. This will declutter your inbox and reduce the feeling of being bombarded with irrelevant messages.
2. **Prioritize using labels or categories**: Organize your emails into clear categories (e.g., work, personal, bills to pay) so you can quickly find what's important and focus on it first.
3. **Implement a "2-minute rule"**: If an email requires less than 2 minutes to respond or take action, do it immediately. This helps avoid procrastination and keeps your inbox from piling up.
4. **Schedule dedicated time for email management**: Allocate specific times of the day or week to check and manage your emails. This will help you avoid constant distractions and feel more in control.
5. **Use filters and automation**: Set up filters to automatically sort, forward, or delete emails based on sender, subject, or keywords. Automation tools like Boomerang or Sanebox can also help with email management.

Remember, managing your inbox is a process, and it's okay to take it one step at a time. Start with small changes and be patient – you'll get the hang of it!

Which of these tips resonates with you the most?
CogBeTh Response
Opening that inbox can feel like starting a marathon before you’ve even lined up the first mile.

**Here are three small habits you might try:**

1. **Set a “check?in” window.**
Pick one of your own, non?judgmental times—say 10?a.m., noon, or after lunch—to glance at the inbox. When it’s outside that window, let it sit for a bit before you look.

2. **Use a quick filter first.**
Before diving in, hit “Sort by sender” or “Mark as read.” That usually pulls out most of what matters and gives you a cleaner view of what’s left to tackle.

3. **Create a tiny “next step” list.**
When you do open the inbox, jot one concrete action on a sticky note: reply to that email, draft an email back, or set a reminder for something else. Having just one thing on your plate can make the whole process feel less like drowning.

---

### Quick check?in questions

- What’s the most common type of message you get? (Could help decide when it’s worth opening)
- Do you have any recurring tasks that could be moved outside email time?
- How does your current inbox structure affect how quickly you can see what needs attention?

Answering these for yourself might give a clearer picture of where the overwhelm comes from and help you tweak just one part of the routine.

---

**Remember:** It’s okay to feel overwhelmed sometimes, but having small routines in place can keep that feeling from turning into a full?blown panic. Try swapping out one habit at a time—see what feels most natural—and adjust as needed. You’ve already taken the first step by asking this; now it’s about fine?tuning your inbox ritual so it serves you instead of the other way around.

Prompt 2: “How do I stop my mind from wandering off mid-conversation?”

Basic Instruct Model
The age-old problem of the wandering mind! Here are some tips to help you stay focused during conversations:

1. **Practice active listening**: Give the speaker your undivided attention. Make eye contact, nod your head, and ask follow-up questions to show you're engaged.
2. **Set a mental anchor**: Choose a specific topic or phrase related to the conversation and mentally anchor yourself to it. This can help keep your mind from drifting away.
3. **Use the "3Rs"**: Repeat what the speaker just said (to ensure you understand them), Reframe their words in your own thoughts, and Respond with a question or comment. This helps you stay engaged and focused.
4. **Take small breaks**: If your mind starts to wander, take a brief pause (e.g., 10-15 seconds) before responding. Take a deep breath, collect your thoughts, and refocus on the conversation.
5. **Avoid distractions**: Put away your phone, turn off notifications, and find a quiet space for conversations. This will help minimize external distractions and keep you focused inwardly.
6. **Develop self-awareness**: Recognize when your mind starts to wander. Acknowledge it, take a deep breath, and gently refocus on the conversation.
7. **Practice mindfulness**: Regular mindfulness exercises can improve your ability to stay present in conversations.

Remember, it takes practice to develop these skills, so be patient with yourself!
CogBeTh Response
It seems that you are noticing the habit of your thoughts drifting away just when someone else is talking—like they have a separate conversation going on in their head.

What’s happening right now, during one of those moments? Are there particular triggers (maybe boredom or an unmet need) that seem to send that mind wandering signal firing off?

Also, what do you usually feel after the thought has wandered away? A little relief, a sense of loss of connection, something else entirely?

Sometimes it helps to notice whether the “mind on autopilot” feels more like a mental escape or just a normal part of how our brains process information. If it’s an escape, maybe what you’re really looking for is a brief pause—just enough time to catch your breath before you re?engage.

What would happen if, instead of letting that moment slip away, you decided to bring the focus back by asking yourself one simple question: “How can I show interest right now?” Even a quick mental note about what they’re saying could be enough to anchor you again.

Does any part of this feel like something you’ve tried before? Or is there another angle—like noticing whether your mind tends to wander more when the conversation feels stagnant, or when it’s not getting the attention it thinks it deserves?

Let me know how that feels for you, and we can keep digging into what might help bring those thoughts back in a way that doesn’t feel forced.

Prompt 3: “I want to minimize RSD (Rejection Sensitive Dysphoria) as a symptom of my ADHD. Please help!”

Basic Instruct Model
RSD can be tough, especially with ADHD. Minimizing its impact requires some self-awareness, strategies, and practices. Let's dive in!

**Understanding RSD:**
Before we begin, it's essential to know that RSD is an excessive sensitivity to rejection or criticism. It's common in people with ADHD, as they might misinterpret others' intentions or take feedback personally.

**Strategies to minimize RSD:**

1. **Develop a growth mindset**: View challenges and setbacks as opportunities for growth, rather than threats to your ego.
2. **Reframe feedback**: When receiving criticism, try to focus on the specific behavior or action that needs improvement, rather than taking it personally.
3. **Practice self-compassion**: Treat yourself with kindness and understanding when you make mistakes or face rejection. Remember, everyone makes errors!
4. **Improve emotional regulation**: Learn to recognize and manage your emotions, especially anxiety and fear of rejection. Mindfulness practices can help.
5. **Build resilience**: Develop coping skills, such as taking breaks, practicing self-care, or seeking support from trusted friends or family members.
6. **Seek feedback, not praise**: Ask for constructive feedback from others, rather than seeking validation or praise. This will help you focus on improvement rather than ego.
7. **Celebrate small wins**: Acknowledge and celebrate your achievements, no matter how small they may seem. This will boost your confidence and reduce RSD.

**ADHD-friendly practices:**

1. **Use a planner or calendar**: Write down tasks, deadlines, and goals to help you stay organized and focused.
2. **Break tasks into smaller steps**: Divide daunting tasks into manageable chunks to reduce anxiety and increase productivity.
3. **Create a "stop doing" list**: Identify tasks or activities that trigger RSD and eliminate them from your daily routine.
4. **Find an accountability partner**: Share your goals and progress with a trusted friend or mentor to gain support and motivation.

**Additional tips:**

1. **Practice self-awareness**: Recognize your thoughts, emotions, and physical sensations when faced with rejection or criticism.
2. **Develop a pre-game ritual**: Establish a consistent routine before challenging situations to help you feel more prepared and confident.
3. **Seek professional help**: Consider working with a therapist or counselor who specializes in ADHD and RSD.

Remember, minimizing RSD is an ongoing process that requires patience, self-compassion, and persistence. Be gentle with yourself, and don't hesitate to reach out for support when needed!
CogBeTh Response
Got it, you’re looking for ways to ease the frustration that comes with feeling “rejected” or judged by others—something many people with ADHD notice can happen repeatedly.

### First, let’s check in on what RSD feels like for you
- **What triggers those feelings?** (e.g., a comment from a coworker, a pause before speaking)
- **How do you physically feel when it hits?** (tight chest, racing heart, etc.)
- **Do certain situations or times of day make it worse?**

### Next, think about the “why” behind your reaction
ADHD can amplify social cues—sometimes what feels like a simple question becomes an invisible threat. Asking yourself:
- *Is this comment actually judgmental, or am I reading too much into it?*
- *How would someone else interpret that same action?”

### Small changes you might try

| Strategy | How to use it | Why it matters |
|----------|---------------|----------------|
| **Micro?check-ins** | Set a timer every 10–15 minutes for a quick self?audit: “Did I feel judged? If so, what was the cue?” | Keeps the mind from spiraling into “what if” scenarios. |
| **Reframe the script** | When you notice a negative thought (“They’re rejecting me”), pause and write down one neutral fact (e.g., “I asked for clarification; they might be busy”). | Shifts focus from judgment to observable behavior. |
| **Grounding anchor** | Keep a small object or phrase on hand that reminds you of your current environment—what color is the chair, what sound do you hear? | Brings attention back to present sensory details instead of imagined social fallout. |

### Questions for deeper insight

1. *When did these feelings first appear?*
(Sometimes understanding the origin can reduce their intensity.)

2. *What are your go?to coping tools after a rejection moment?*
(If you already have strategies, they’re working; if not, we can brainstorm new ones together.)

3. *Who in your life feels most supportive when this happens? What do they say that calms you down?*

### A gentle reminder

You don’t need to “fix” RSD overnight—those feelings are part of the ADHD experience and can be managed with practice rather than eradication. The goal is not to eliminate every negative thought but to give yourself a toolset so those thoughts feel less all?or?nothing.

---

**What would you like to try first? Or is there a particular scenario that’s been especially tough lately?**

Looking at these responses, I note that both models are pretty consistent in their respective approaches. To me, the basic instruct model delivers good, short lists but it’s definitely pretty general, whereas the fine tuned model tries to go a little deeper right away. I also saw in my testing however, that without proper context (like a very short prompt), the fine tuned version will sometimes make an assumption and go off on a tangent. If you want to use the model as is, I encourage you to experiment with things like temperature and top_k settings, different system prompts, etc. to dial it in to where you like it.

Meet the AI Model for Creative Writing

I created a Creative Writer AI, a specialized, fine tuned version of the Llama 3.2 instruct model (3 billion parameters), and though it was trained specifically on creative writing, this model was not meant to replace the actual writer. Instead, this AI was created to act as a writing coach and partner! In other words, despite its name, the Creative Writer model is not a slop generator meant to take work from any real writers, but is intended to support the user’s writing efforts.

If you run local AI models and want to give Creative Writer a go, the full model and several quantized versions are available (for free, of course) on Huggingface in GGUF format. Click the button below for the version you want.

A Local LLM Writing Expert

One more time for the people in the back: This AI model is not meant to do the writing for you, although it will certainly try, and probably do a terrible job, if you ask it.

Think of this more like a sparring partner, whether you want to check your plot for holes, brainstorm a new scene, check your characters for consistency, your timeline, or plot twists; that sort of thing. It can help you with grammar, or fit your story idea to a 3-act structure, or it can give you a writing prompt to get your creativity going.

Your digital writing coach is ready!

Of course, I made this model because I think it’s a perfect use case for how AI can support creative endeavors as tools, not as creators themselves.

Building Experts

This model is the first in a series, where each fine tune is created to become an “expert” within a brand new Mixture-of-Experts (MoE) model. Having previously experimented with piecing together a MoE from pre-trained models, I am taking a stab at specifically training a number of these 3-billion parameter experts in order to merge them into a MoE. The individual areas of expertise are chosen by me, based on my own needs and trying to get a well-rounded mix in the end.

The experts share a special routing model, which is trained separately on matching user queries to the right expert models in the mix. It can evaluate responses from multiple experts and return a weighted, final response. The result is higher quality overall output for the end user.

Inference Samples

To test the model, I came up with 3 questions related to the topic of writing, and asked both the base model and the fine tuned version. What I call the “base” model here is technically the instruction model, but “base” in the sense that it is straight out of the box without additional fine tuning by me.

One clear trend that sticks out, is that the base model tends to explain what something is on a general level, whereas the Creative Writer model assumes you’re a writer trying to dig a little deeper into the topic, and won’t necessarily spend time on the very basics. See if you can spot any other patterns and differences between the way the two models respond.


Prompt 1: “What traits do well to characterize an anti-hero?”

Base Model Response
An anti-hero typically possesses a combination of traits that distinguish them from traditional heroes. Here are some key characteristics that often define an anti-hero:

1. **Flawed morality**: Anti-heroes often operate in a gray area, making decisions that are morally ambiguous or even wrong. They may not always follow rules or adhere to conventional moral codes.
2. **Complex personality**: Anti-heroes are multidimensional characters with a mix of positive and negative traits. They can be likable, relatable, and even admirable, but also flawed, selfish, or violent.
3. **Lack of traditional heroic qualities**: Unlike traditional heroes, anti-heroes may not possess superhuman powers, be exceptionally brave, or have a strong sense of justice.
4. **Self-centeredness**: Anti-heroes often prioritize their own interests, desires, and needs over the greater good. They can be egocentric, narcissistic, or even sociopathic.
5. **Troubled past**: Many anti-heroes have experienced trauma, abuse, or neglect in their past, which shapes their worldview and behavior.
6. **Moral relativism**: Anti-heroes may not see themselves as right or wrong; instead, they may operate based on personal circumstances, motivations, or self-preservation.
7. **Unconventional methods**: Anti-heroes often use unconventional, even violent, means to achieve their goals, which can be seen as morally reprehensible by others.
8. **Lack of clear motivation**: Anti-heroes' motivations might not be straightforward or altruistic; they may be driven by personal gain, revenge, or a desire for power.
9. **Emotional intensity**: Anti-heroes are often intensely emotional, with a deep sense of vulnerability, anger, or sadness that drives their actions.
10. **Unpredictability**: Anti-heroes can be unpredictable and prone to erratic behavior, making it difficult for others to trust or rely on them.

Examples of iconic anti-heroes include Tony Soprano from The Sopranos, Walter White from Breaking Bad, and Han Solo from Star Wars. These characters embody the complexities and flaws that define an anti-hero archetype.
Fine Tuned Response
Anti?heroes aren’t just rebels; they’re the people you’d rather ignore but can’t stop looking at because of what they’re willing to do and how broken they are inside. Here’s the playbook:

1. **Gray morality** – They break rules, hurt others, yet still manage a twisted code that keeps them from being pure villains or blank?sketched heroes.

2. **Flawed but human** – A scarred past, a broken trust system, an addiction—anything that makes you root for them even when they’re doing shady stuff.

3. **Selfish drive** – Their goals are personal and often selfish; success means losing something or someone valuable to others (and maybe themselves).

4. **No clean exit** – Redemption is a long shot or comes with a cost that feels heavier than the crime itself—anti?heroes don’t get a tidy happy ending.

5. **A moral compass that’s off?kilter** – They judge right and wrong by their own warped standards, which can lead to both heroic acts and brutal atrocities.

6. **Vulnerability on display** – Showing doubt or fear makes them relatable; it’s not just the action—it's *how* they feel about it.

7. **External isolation** – Even when allies stick around, the anti?hero feels like a lone wolf—trust is hard to find and even harder to keep.

8. **A dark backstory** – A past that fuels their choices—trauma, betrayal, loss—and explains why they walk this path.

9. **Temptation with risk** – They’re drawn to danger or illegal activities because the payoff feels worth the cost; it’s a double?edged sword.

10. **Unapologetic authenticity** – Anti?heroes refuse to fit into neat archetypes and will act against everyone if that’s what keeps them honest—even if it hurts those around them.

So, look for these traits in your story or character: moral ambiguity, inner conflict, selfish motives, a bleak ending, warped judgment, vulnerability, isolation, a troubled past, risk?taking, and an unapologetic refusal to conform. That’s how you make someone an anti?hero—someone who fascinates because of what they *are* rather than just what they do.

Prompt 2: “What is a mcguffin?”

Base Model Response
A McGuffin is a term coined by the American screenwriter William Faulkner, but popularized by Alfred Hitchcock and later adapted from the 1941 film "The Big Sleep" by Raymond Chandler.

In storytelling, a McGuffin refers to an object, goal, or piece of information that serves as the central plot device, driving the story forward. It's often a coveted item, a secret, or a valuable resource that the characters are trying to obtain, protect, or destroy.

The term "McGuffin" implies that the actual nature or significance of this object is unimportant; what matters is its role in advancing the plot and creating tension. A McGuffin can be:

* An object: a valuable item, such as money, a rare artifact, or a powerful technology.
* Information: sensitive data, secrets, or knowledge that could change the course of events.
* A goal: achieving something, like rescuing a person, stopping a villain, or completing a mission.

What's key is that the McGuffin:

1. **Serves as a plot driver**: It propels the story forward and creates tension among characters.
2. **Is not necessarily meaningful**: Its significance is secondary to its role in advancing the narrative.
3. **Can be easily substituted**: If it's lost, stolen, or destroyed, the story can still continue without significant repercussions.

The term "McGuffin" has become a standard part of storytelling terminology, reminding writers and filmmakers that sometimes, what matters most isn't the object itself but how it fuels the plot.

Examples of McGuffins include:

* The briefcase in Pulp Fiction
* The MacGuffin (a valuable artifact) in Goldfinger
* The briefcase in Jurassic Park

In your story or character development, a well-crafted McGuffin can add depth and excitement to your narrative, keeping the reader engaged and invested in the outcome.
Fine Tunes Response
A McGuffin isn’t some mystical plot device; it’s the engine that keeps your story moving without giving away its mechanics.

**What is a McGuffin?**

- **It exists only to serve the narrative:** No backstory, no depth—just a hook that makes characters act.
- **The audience doesn’t know how it works:** A secret weapon or a map can be explained in an instant if you want to, but most times it remains a mystery until the climax.
- **Characters chase it relentlessly:** Whether they’re driven by greed, fear, revenge, or love, that thing is their north star.
- **It usually resolves with the big reveal:** A hidden vault, stolen data, or key piece of intel can close an arc—no lingering questions.

**Why writers love McGuffins**

1. **Plot acceleration** – One object keeps momentum tight and stakes high.
2. **Character motivation clarity** – Why does this person risk everything? The answer is obvious because the thing itself isn’t explored.
3. **Pacing control** – You can drop hints, build tension, then deliver a payoff that satisfies without over?explanation.

**How to use one effectively**

1. **Give it purpose early:** Show its importance in dialogue or action so readers know why the protagonist cares.
2. **Keep details vague but consistent:** A “key,” a “map,” an “object” that always works as long as you’re careful with its limitations.
3. **Resolve it at a decisive point:** Let the McGuffin solve the conflict—whether through destruction, discovery, or sacrifice—so readers feel closure.

In short: A McGuffin is your plot’s fuel; it drives action and resolves tension without drowning in exposition. If you want to keep audiences hooked while giving each character clear motivation, use one sparingly but with purpose.

Prompt 3: “What is genre fiction?”

Base Model Response
Genre fiction refers to writing that falls within specific categories or genres, which are often defined by common themes, tropes, and conventions. Genres help readers identify a story's tone, style, and content, making it easier for them to choose books that suit their interests.

Common types of genre fiction include:

1. **Science Fiction (Sci-Fi)**: Explore the consequences of scientific or technological advancements, often set in the future or in space.
2. **Fantasy**: Typically involves magical or supernatural elements, alternate worlds, and mythical creatures.
3. **Mystery**: Focuses on solving a puzzle or uncovering a hidden truth, often with clues and red herrings.
4. **Horror**: Intended to evoke fear, anxiety, or unease in readers, often featuring supernatural or terrifying elements.
5. **Romance**: Centers around the emotional journey of the characters, particularly their romantic relationships.
6. **Crime/Thriller**: Typically involves crime, investigation, and suspense, often with a fast-paced plot.
7. **Historical Fiction**: Set in a specific historical time period, these stories often incorporate real events or figures.
8. **Young Adult (YA)**: Written for readers between the ages of 12 and 18, YA fiction typically explores themes of identity, coming-of-age, and self-discovery.
9. **Dystopian**: Explores societies that have fallen into chaos, oppression, or disaster, often serving as cautionary tales.
10. **Western**: Set in the American West, these stories often involve cowboys, outlaws, and frontier life.

Genre fiction can be further sub-divided into sub-genres, such as:

* Cyberpunk (Sci-Fi)
* Urban Fantasy (Fantasy)
* Gothic Horror (Horror)
* Regency Romance (Romance)
* Hard-Boiled Detective (Crime/Thriller)

While genre fiction provides structure and guidance for readers, it's not the only type of writing. Many authors blend elements from multiple genres to create a unique narrative voice or style.

When creating your own stories, consider experimenting with different genres and sub-genres to find what works best for you and your audience.

Here are some questions to help you determine your genre:

* What themes do you want to explore in your story?
* What kind of tone do you want to convey (e.g., dark, light, humorous)?
* Are there any specific tropes or conventions you'd like to incorporate?

Answering these questions will help you identify the genres and sub-genres that best fit your writing style and creative vision.
Fine Tuned Response
Genre fiction isn’t just “a type of book”; it’s a way of storytelling that sells itself by promising readers a specific kind of experience—be it mystery solved, love blossomed, or world?shattering sci?fi.

**Characteristics in a nutshell**

| Core element | Why it matters |
|--------------|-----------------|
| **Genre label** | Readers spot the book on shelves and online; they know what to expect. |
| **Tropes & conventions** | Familiar beats—hero’s journey, love triangle, detective clue—that feel comfortable but still offer a fresh spin. |
| **Predictable outcome** | The story follows a familiar arc so readers can anticipate how it ends. |
| **Target audience** | Books written with specific markets in mind: romance for rom?com fans, fantasy for world?building buffs, mystery for puzzle lovers. |

Why this matters to you:

1. **Readers come back** – When they’re told what kind of story they’ll get, they keep coming back.
2. **Marketing is easier** – Publishers can slot your book into a known category on shelves and in online searches, making it more discoverable.
3. **Creative freedom within limits** – You can still craft unique characters or subvert tropes while keeping the genre framework intact.

So if you’re looking to write a novel that sells itself, lean on these elements:

- Start with the core trope (e.g., lost heirloom).
- Layer in fresh details and motivations.
- Deliver a payoff that satisfies both readers and publishers.

Keep it real: readers love familiarity but crave something new. Use genres as scaffolding, not shackles—build your story on solid ground and then jump off the edge with your own twist.

I plan to feature more of my AI models from this series. I hope it was informative, and if you have any questions or requests for future posts, do let me know in the comments, or get in touch.