Ai tips and Tricks with a dash of martial arts.

How to take a kick to the balls?
ha ha ha.. I'll have to see what Ai thinks of that.

What should I do if I get kicked in the groin as a beginner in martial arts?

Just remember you asked for it. I wasn't expecting "Improve Your Guard" to be part of the response.

Copilot says
Ouch—getting kicked in the groin is one of those painful lessons every martial artist wants to avoid but might experience at some point. As a beginner, the best way to handle it is to focus on recovery and prevention.

Immediate Response:​

  1. Take a Knee (or Lie Down) – If the pain is intense, don’t try to tough it out standing up. Kneeling or lying down can help ease the discomfort.
  2. Control Your Breathing – Deep breaths help manage pain and keep you from panicking.
  3. Apply Ice (Carefully) – If possible, use an ice pack wrapped in a cloth to reduce swelling.
  4. Rest – Give yourself time to recover before continuing.

Prevention for the Future:​

  • Wear a Protective Cup – This is a must in sparring and competition.
  • Improve Your Guard – Keep your stance strong and be mindful of incoming low strikes.
  • Train Reflexes – Work on evasion techniques so you’re better prepared next time.
Martial arts is all about learning from setbacks and building resilience. Got any other training concerns? I'm here to help!

Me: I asked about what did it mean by keep my stance strong in regard to preventing getting kicked in the groin.

CoPilot
Good question! Keeping your stance strong helps protect your groin by making it harder for an opponent to land a direct hit and giving you better control over your body when reacting to attacks. Here's how it works:

Groin Protection Through Stance

  1. Lower Your Center of Gravity – A well-grounded stance (like a slight squat) keeps you stable and makes sudden movements—like dodging or blocking—a lot easier.
  2. Keep Your Knees Slightly Bent – Locked knees make you rigid and slow, while bent knees allow quick reactions and a strong base.
  3. Angle Your Body Smartly – Slightly turning your hips and positioning your legs properly can make it harder for an opponent to land a direct groin strike.
  4. Close the Gaps – Avoid standing with your legs too wide apart, as it creates an opening for a low kick.
  5. Reflex Training – A strong stance also lets you react quickly—lifting a knee to block, stepping back, or shifting position to avoid taking a painful hit.
A strong stance isn’t just about power—it’s about positioning yourself for better defense and control. Over time, training will help your reflexes kick in automatically when you sense a dangerous attack coming your way.

Want me to break down a stance specific to your martial art style? I can tailor the advice!
 
Don't blame Ai. Blame the humans that don't double check and verify an analysis tool. This is why it's important to give what I call Context and not Prompts. Prompts is like asking ai "to list a 10 books about the law." Prompts have no context. What I call Contexts include information like: What type of law? Why type of books. who are the books for? do you want fictional or do you want legal works, or do you want non fictional. What type of law do these books need to cover? What is the purpose of books. Do you want Ai to provide reference links to make sure that you can find the books? Do you want Ai to double check.

For personally. I would never and have never used Prompts for Ai. To do so is to ask for problems. Prompts are from people who don't understand how human's communicate and just how much information we leave out when communicating. Ai is not human. And because they are human they do not have the context of what you are thinking about.

My success rate with Ai comes from the fact that I don't use prompts. I ask Ai to double check. When Ai gets something wrong. I ask why it got it wrong because I want to know what confused it so I can correct it. After all of that is done I double check.

Ai is a tool. At most it should be like that friend that helps you work things out but at the end you are the one who finalizes the game plan.
Sure, it’s a tool and needs to be used with caution, like any tool.

However, as a research tool it has been known to literally make things up and present that fabrication in a convincing way that has the look of truth. That requires caution on a whole other level, if one is going to use it.
 
Sure, it’s a tool and needs to be used with caution, like any tool.

However, as a research tool it has been known to literally make things up and present that fabrication in a convincing way that has the look of truth. That requires caution on a whole other level, if one is going to use it.
When it makes things up, the user must ask Ai why it answered the way that it did. Ai will then give a reason that the user must addresses so that Ai is specifically told not repeat the same action that caused the error. The errors must be known before using the Ai so that the instructions can be included in the Context. After it's all said and done, one may end up with one or more pages of context that the Ai must understand before it can be used for a specific purpose. I don't know about other Ai, but if this is done with CoPilot then you'll be fine until you run into something not addressed in the Context. It's a lot of work, but it is necessary.

Those who are getting a lot of bad results are probably getting those results because they are using prompts. Prompts don't make sense to me, because all the questions that a human will answer is built upon the context of their current experiences and knowledge. Those who answer either in person or chat, or even in a book, do so with the same context of their current experiences and knowledge. To expect Ai to do the same with that type of context just isn't going to work

This is why I say that that it's still necessary to know your stuff. You have to be the subject matter experts that Ai will rely on.
 
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Sure, it’s a tool and needs to be used with caution, like any tool.

However, as a research tool it has been known to literally make things up and present that fabrication in a convincing way that has the look of truth. That requires caution on a whole other level, if one is going to use it.
If I can't get any reliable responses from Ai about the stances then I won't continue. It needs to be able to analyze a photo of a stance and then make some type of "informed guess" (for the lack of a better term) about what the person may be doing. I may have to start with stances from kata and then use the same stance from sparring to see if it knows the difference between the two. I need to know what it currently "understands" and if it recognizes the stance across different systems and different people.

At the moment I don't know what Ai sees when it analyzes a picture. I don't know what it was looking at if the analysis is wrong. I need answers to both of areas so that I'll know what type of context it needs. I also don't know if it can tell the difference between form (kata), sparring, and fighting. Each one of these will use a variation of a stance.

I don't expect this to be a short trip. at all. The more it can figure out on its own the less context it will need. My assumption is that companies should be still training Ai, so I'm expecting better results than what I had the first time I asked Ai to look at a picture of two people sparring.
 
So here's how I'm starting off. So that Ai will give me the best results..
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The frist response is what I call "small talk." This information builds the conversation That second paragraph is the context that Ai needs. Taht's the part that I have to make sure Ai. understands. For example. "Are we starting from the ground up?" That would be a yes. and I would need to provide context in what I mean by "from the ground up and what it consists of. I also have to let Ai know that I want to start with stances and that I want to see if it can tell the difference between a stance from a form or a stance from sparring. In sparring I have to let it know it hast to do it without depending on seeing an opponent.. If I don't say this then I know it will make an assumption that if another person isn't in the picture then that person isn't sparring or fighting. For this first part it's maining going to be me trying to understand how Ai "sees the world." I have to know how Ai "sees Martial arts"

I don't want to make any assumptions about what it's seeing vs what I'm seeing. If Ai isn't on the same page as I am with the data then everything from this point on will be flawed. As I start out you can see why Prompts don't work and why so many people get incorrect answers from using prompts
 
So here's the next part of the conversation with CoPilot (I named it Lumina, so if you see that name then it's just CoPilot by another name.) Looking at this. I see that I need to define Form to mean the same thing for Kata. Or I may need to use the formal name for Form. I'm not sure yet but I need have Ai to understand that it's the same.

It's going to be a very, very long process. From this I will need to make sure that the Ai understands why it's important to know if the image it is looking at is from Kata, Form, or Sparring. My focus is on Sparring and Fighting so the Ai will need to understand that Kata and Forms are not fighting sequences. What comes after Kata does not mean that's what comes after when a person is sparring or fighting. I'm not sure if it understands this but I need to make sure. Either way you can see how CoPilot is guiding me to fine tune things.


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I'm still thinking about how to get the stance analysis working. I'll have to give that part some thought. I asked CoPilot if it understood Form and Kata. It also mentioned Poomsae (on it's own,) But so far I'm happy with the results that I'm getting. It's guiding me toward success and telling me what it needs to be successful


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Well I now have a starting point and it looks like it's going to be a numbers game from here. I have to get some screen shots of me doing forms and of me sparring.

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We have a problem. I tested one picture and for some reason it generated a computerized version of the image. I don't know if this is how it sees my image. If so, then it's not going to work. I've never seen CoPilot generate a similar version of an image that I uploaded.

1748885832041.webp
 
My success rate with Ai comes from the fact that I don't use prompts.
What are we talking about here? LLM models or other generative AI?

This is why it's important to give what I call Context and not Prompts. Prompts is like asking ai "to list a 10 books about the law." Prompts have no context. What I call Contexts include information like: What type of law? Why type of books. who are the books for? do you want fictional or do you want legal works, or do you want non fictional. What type of law do these books need to cover? What is the purpose of books.
If we talk about LLM and chat-gpt or copilot, the initialsation of the context, is what you enter as a sequence of "pre-prompting" before you ask the actual question. Ie to tune the AI into the right context as you say. This is exactly what prompting means to me. And part of this pre-prompting is what is already made for you when using the custom GPTs on chat-gpt for example.

This is why I think the best answers are when you have a history of the conversation, then the context gets tuned in. If you start a new conversaion, you loose the context.

So get less bad answers, you often need to spend time to tune the context, but enter long pre-prompts.
 
What are we talking about here? LLM models or other generative AI?


If we talk about LLM and chat-gpt or copilot, the initialsation of the context, is what you enter as a sequence of "pre-prompting" before you ask the actual question. Ie to tune the AI into the right context as you say. This is exactly what prompting means to me. And part of this pre-prompting is what is already made for you when using the custom GPTs on chat-gpt for example.

This is why I think the best answers are when you have a history of the conversation, then the context gets tuned in. If you start a new conversaion, you loose the context.

So get less bad answers, you often need to spend time to tune the context, but enter long pre-prompts.
Ai is cool but it's a lot of work to put in information like this. Depending on what it is, it's like creating a training manual or writing a book. I spend maybe 4 days having a conversation with Ai about my understanding of Ripple Analysis. It already knew what Ripple Analysis is but I wanted it to see it through my eyes. Long coversation but it paid off.
 
So here's the Analysis for Ai. I wanted to know what Ai sees
1748912462854.webp


Looking at the image you uploaded, here’s a detailed breakdown using the body positioning and structure analysis framework we discussed earlier.

1. Stance Integrity & Stability

  • Center of Gravity – Both individuals appear to have balanced weight distribution, though the fighter in red is slightly leaning forward, indicating engagement.
  • Foot Positioning – The fighter in black maintains a solid stance, suggesting readiness for defense or a counterattack. The red fighter's positioning suggests forward movement, possibly stepping into range for engagement.
  • Knee Flexion – Both individuals keep their knees slightly bent, allowing them to react quickly. This is critical for maintaining mobility and stability.

2. Balance & Weight Shifts

  • Fighter in Red – Their stance suggests forward motion, likely setting up an attack or repositioning. The lead foot placement implies pressure toward engagement rather than retreat.
  • Fighter in Black – Appears more grounded, possibly preparing for a reaction (block, counter, or angle change). Their weight is evenly distributed, suggesting control rather than immediate motion.

3. Upper Body Positioning

  • Guard Alignment – Both fighters maintain a high guard, emphasizing defensive awareness.
  • Torso Positioning – The red fighter’s torso angles forward, reinforcing the idea that they are stepping into an attack or engagement. The black fighter’s torso remains neutral, indicating a waiting stance or counter-ready posture.
  • Head Positioning – Both fighters keep their heads positioned neutrally, reducing exposure to direct strikes while maintaining visibility of their opponent.

4. Offensive vs. Defensive Body Language

  • Fighter in Red
    • Their body posture suggests they are initiating action—this could be a jab, a setup for a combination, or a positional adjustment.
    • If they continue forward, they might commit to an offensive sequence rather than just probing.
  • Fighter in Black
    • Their stance is reactive, meaning they are more likely waiting to counter or gauge the opponent’s movements before engaging.
    • This defensive positioning suggests a readiness for a parry, slip, or angle change to avoid an incoming attack.

5. Likely Next Movements (Based on This Positioning)

Fighter in Red:

  • Primary Attack Option: Jab, followed by a possible cross or hook (60% likelihood).
  • Alternative: Forward feint to read opponent’s reaction, then adjust attack strategy (25% likelihood).
  • Less Likely: A direct kick from this position (15% likelihood), though possible if their weight shifts properly.
Fighter in Black:

  • Primary Defensive Option: Parry and counterstrike (50% likelihood).
  • Alternative: Angle shift and repositioning for a better attack opportunity (30% likelihood).
  • Less Likely: A sudden retreat without engaging (20% likelihood), unless avoiding a larger attack sequence.

Final Assessment

This image captures an active sparring or fighting scenario, where one fighter (red) is initiating engagement and the other (black) is assessing and preparing to respond. The stance mechanics suggest controlled movements rather than wild exchanges, meaning both fighters are making intentional choices rather than reacting purely on instinct.

Would you like me to refine this further based on specific martial arts styles? We could evaluate how different disciplines would modify this stance for better efficiency!
 
So here's the Analysis for Ai. I wanted to know what Ai sees
View attachment 33067

Looking at the image you uploaded, here’s a detailed breakdown using the body positioning and structure analysis framework we discussed earlier.

1. Stance Integrity & Stability

  • Center of Gravity – Both individuals appear to have balanced weight distribution, though the fighter in red is slightly leaning forward, indicating engagement.
  • Foot Positioning – The fighter in black maintains a solid stance, suggesting readiness for defense or a counterattack. The red fighter's positioning suggests forward movement, possibly stepping into range for engagement.
  • Knee Flexion – Both individuals keep their knees slightly bent, allowing them to react quickly. This is critical for maintaining mobility and stability.

2. Balance & Weight Shifts

  • Fighter in Red – Their stance suggests forward motion, likely setting up an attack or repositioning. The lead foot placement implies pressure toward engagement rather than retreat.
  • Fighter in Black – Appears more grounded, possibly preparing for a reaction (block, counter, or angle change). Their weight is evenly distributed, suggesting control rather than immediate motion.

3. Upper Body Positioning

  • Guard Alignment – Both fighters maintain a high guard, emphasizing defensive awareness.
  • Torso Positioning – The red fighter’s torso angles forward, reinforcing the idea that they are stepping into an attack or engagement. The black fighter’s torso remains neutral, indicating a waiting stance or counter-ready posture.
  • Head Positioning – Both fighters keep their heads positioned neutrally, reducing exposure to direct strikes while maintaining visibility of their opponent.

4. Offensive vs. Defensive Body Language

  • Fighter in Red
    • Their body posture suggests they are initiating action—this could be a jab, a setup for a combination, or a positional adjustment.
    • If they continue forward, they might commit to an offensive sequence rather than just probing.
  • Fighter in Black
    • Their stance is reactive, meaning they are more likely waiting to counter or gauge the opponent’s movements before engaging.
    • This defensive positioning suggests a readiness for a parry, slip, or angle change to avoid an incoming attack.

5. Likely Next Movements (Based on This Positioning)

Fighter in Red:

  • Primary Attack Option: Jab, followed by a possible cross or hook (60% likelihood).
  • Alternative: Forward feint to read opponent’s reaction, then adjust attack strategy (25% likelihood).
  • Less Likely: A direct kick from this position (15% likelihood), though possible if their weight shifts properly.
Fighter in Black:

  • Primary Defensive Option: Parry and counterstrike (50% likelihood).
  • Alternative: Angle shift and repositioning for a better attack opportunity (30% likelihood).
  • Less Likely: A sudden retreat without engaging (20% likelihood), unless avoiding a larger attack sequence.

Final Assessment

This image captures an active sparring or fighting scenario, where one fighter (red) is initiating engagement and the other (black) is assessing and preparing to respond. The stance mechanics suggest controlled movements rather than wild exchanges, meaning both fighters are making intentional choices rather than reacting purely on instinct.

Would you like me to refine this further based on specific martial arts styles? We could evaluate how different disciplines would modify this stance for better efficiency!
I then told Ai that the image is from a light sparring session so that it has a better idea of the intensity level.

Here’s the adjusted Ripple Analysis for the light sparring scenario, now broken down into probability percentages based on likely outcomes:

1. Initiation Phase (Red Fighter’s Movement)

  • Probing Jab to Test Distance → 60% likelihood
  • Feint or Setup for Combination → 30% likelihood
  • Direct Power Strike (Cross, Kick, Hook) → 10% likelihood

2. Black Fighter’s Response (Defensive or Countering)

  • Parry & Controlled Counter → 50% likelihood
  • Slip & Angle Change for Better Positioning → 30% likelihood
  • Step Back Without Immediate Engagement → 20% likelihood

3. Tactical Adjustment (Next Exchange)

  • Red Fighter Follows Up with a Secondary Attack → 50% likelihood
  • Black Fighter Counters After Initial Defense → 40% likelihood
  • Red Fighter Resets Position for Another Approach → 10% likelihood

Overall Sparring Flow Projection

  • Controlled Exchanges with Moderate Strike Commitment → 70% likelihood
  • Quick Defensive Adaptations Instead of Full Power Engagement → 60% likelihood
  • Gradual Build-Up of Tactical Adjustments Rather Than Explosive Movements → 50% likelihood
Since light sparring emphasizes technique refinement and adaptability, neither fighter is likely to escalate into full-force attacks. Their reactions will be moderate and intentional, avoiding unnecessary aggression.

Would you like to add specific footwork elements to refine the probabilities further? We could analyze how movement affects the effectiveness of counters!
 
I then told Ai that the image is from a light sparring session so that it has a better idea of the intensity level.

Here’s the adjusted Ripple Analysis for the light sparring scenario, now broken down into probability percentages based on likely outcomes:

1. Initiation Phase (Red Fighter’s Movement)

  • Probing Jab to Test Distance → 60% likelihood
  • Feint or Setup for Combination → 30% likelihood
  • Direct Power Strike (Cross, Kick, Hook) → 10% likelihood

2. Black Fighter’s Response (Defensive or Countering)

  • Parry & Controlled Counter → 50% likelihood
  • Slip & Angle Change for Better Positioning → 30% likelihood
  • Step Back Without Immediate Engagement → 20% likelihood

3. Tactical Adjustment (Next Exchange)

  • Red Fighter Follows Up with a Secondary Attack → 50% likelihood
  • Black Fighter Counters After Initial Defense → 40% likelihood
  • Red Fighter Resets Position for Another Approach → 10% likelihood

Overall Sparring Flow Projection

  • Controlled Exchanges with Moderate Strike Commitment → 70% likelihood
  • Quick Defensive Adaptations Instead of Full Power Engagement → 60% likelihood
  • Gradual Build-Up of Tactical Adjustments Rather Than Explosive Movements → 50% likelihood
Since light sparring emphasizes technique refinement and adaptability, neither fighter is likely to escalate into full-force attacks. Their reactions will be moderate and intentional, avoiding unnecessary aggression.

Would you like to add specific footwork elements to refine the probabilities further? We could analyze how movement affects the effectiveness of counters!

Key Footwork Elements & Their Impact

  1. Shuffle Step (High Probability – 50%)
    • The black fighter may use a shuffle step to maintain distance while staying engaged.
    • This allows them to adjust positioning without fully retreating, keeping them in range for a counter.
  2. Pivot & Angle Change (Moderate Probability – 40%)
    • If the black fighter anticipates a follow-up strike, they may pivot to create a better angle for defense or attack.
    • This technique is common in boxing and kickboxing, helping fighters avoid direct attacks while setting up counters.
  3. Lateral Movement (Moderate Probability – 40%)
    • Instead of moving straight back, the black fighter could step laterally to avoid being lined up for a combination.
    • This footwork helps maintain control over engagement distance while keeping defensive options open.
  4. Step-Back Reset (Lower Probability – 30%)
    • If the black fighter wants to disengage, they may take a step back to reset their stance.
    • This is useful for avoiding pressure but reduces immediate counterattack opportunities.

How Footwork Adjusts the Ripple Effect

  • If the black fighter uses a shuffle step, they remain engaged and can counter more effectively.
  • If they pivot, they create a new angle, making it harder for the red fighter to land a clean strike.
  • If they move laterally, they force the red fighter to adjust their attack strategy.
  • If they step back, they reset the exchange but lose offensive momentum.

    Would you like to refine this further by comparing footwork strategies across different martial arts styles? We can analyze how disciplines like boxing, Muay Thai, or Karate would approach this scenario differently!
 

Key Footwork Elements & Their Impact

  1. Shuffle Step (High Probability – 50%)
    • The black fighter may use a shuffle step to maintain distance while staying engaged.
    • This allows them to adjust positioning without fully retreating, keeping them in range for a counter.
  2. Pivot & Angle Change (Moderate Probability – 40%)
    • If the black fighter anticipates a follow-up strike, they may pivot to create a better angle for defense or attack.
    • This technique is common in boxing and kickboxing, helping fighters avoid direct attacks while setting up counters.
  3. Lateral Movement (Moderate Probability – 40%)
    • Instead of moving straight back, the black fighter could step laterally to avoid being lined up for a combination.
    • This footwork helps maintain control over engagement distance while keeping defensive options open.
  4. Step-Back Reset (Lower Probability – 30%)
    • If the black fighter wants to disengage, they may take a step back to reset their stance.
    • This is useful for avoiding pressure but reduces immediate counterattack opportunities.

How Footwork Adjusts the Ripple Effect

  • If the black fighter uses a shuffle step, they remain engaged and can counter more effectively.
  • If they pivot, they create a new angle, making it harder for the red fighter to land a clean strike.
  • If they move laterally, they force the red fighter to adjust their attack strategy.
  • If they step back, they reset the exchange but lose offensive momentum.

    Would you like to refine this further by comparing footwork strategies across different martial arts styles? We can analyze how disciplines like boxing, Muay Thai, or Karate would approach this scenario differently!
So far so good. It predicted that I would most likely shuffle step. This is accurate for what happened next in the video. I have not mentioned fighting systems yet.
  • Shuffle Step (High Probability – 50%)
    • The black fighter may use a shuffle step to maintain distance while staying engaged.
    • This allows them to adjust positioning without fully retreating, keeping them in range for a counter.
 
I got side-track. I asked Ai to show me what it sees when looking at the blurred image of a Jow Ga Kung Fu logo. This is what it was seeing.
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