For this experience I choose to try Gemini for the first time, since I’ve always used only ChatGPT and wanted to try something new to see if they differ. My experience was for my surprise really positive, Gemini was asking me questions to be more specific, details about goals in working out, body weight etc. when I tried to ask for workout plan and overall I found this very positive.

For example prompt I used in the 2^nd round

make me a workout plan

gemini answered asking those questions :

 What is your primary goal? (e.g., building muscle, losing weight, increasing endurance, or general health?)

What is your experience level? (e.g., beginner, intermediate, or advanced?)

How many days per week can you realistically commit?

 What equipment do you have access to? (e.g., full gym, dumbbells only, or bodyweight at home?)

After answering those questions it asked me more about body weight and height and after it built me a workout plan acting as a very supportive coach and acting really nice. Workout seemed valid to me and like something that could possibly work if I ever decide to use it, it also gave me options to make a meal plan, which was really adjustable and more options for everyday.

I tried to be as specific as possible and give all of the additional information as I’ve learned from our UT Prompt Literacy guide reading that it’s important to be specific and detailed, iterative refinement – https://www.utsystem.edu/sites/default/files/documents/general-documents/2025/ut-aspire-prompt-literacy/ut-aspire-prompt-literacy.pdf

Overall this was very positive and useful experience for me and I would probably use it again for workout or diets!:)

The most useful prompt guideline that I found was the persona pattern. When I first prompted ChatGPT to “Write me a swim set.” I kept it very bland, and in return, I received a response that was just as bland and simple as what I inputted.

What I received was not what I was looking for and did not match what I had expected. In the following prompt, I assigned Chat the role of being my swim coach and informed it of my history of swimming.

After assigning Chat a role, it was able to write me a much more specific and well-rounded workout to match a Wooster swimmer’s level. Additionally, when prompting Chat the second time around, I gave it specific goals, which seemed to help eliminate the guessing work that Chat was attempting to complete.

Based on what I have learned in this experiment, I can at least confidently say that when asking Chat to create a regimen of some sort, both assigning it a role as well as limits is helpful. Just as stated in the prompting guides, LLMs just predict what you want and offer broad responses, so if you are extremely specific in your ends, you are more likely to meet them (UT Guide). The main thing stated in the UT Guide is that keeping your end goal clear is the most important part of prompting. By assigning Chat a role and setting limits, I was able to match UT’s guide and get an outcome that was much more to my expectations. This can be helpful in the future if I have a specific means and an idea of a product, where I can set limits and expectations while prompting Chat.

One strategy that I have found helpful when prompting LLMs is refinement. Oftentimes, LLMs do not quite hit the mark on the first try. Refinement helps make the outputs more centered on what you are actually looking for. During the activity on Tuesday, I had Claude create a week-long workout plan for a college swimmer at the D-III level, which focused on the 200 Fly and the 200 IM, the two events I swim. I found that the main sets were far more physically demanding than a typical practice. I then brought these concerns to Claude, who asked questions about how the schedule should be restructured. The revised schedule (picture below) that Claude gave was better, but still had sets that looked correct on the surface, but would be exhausting and unlikely to lead to improvements if actually implemented. More refinement could help Claude develop a workout plan I could actually use, a strategy recommended by UT in Tuesday’s reading, saying that refinement turns prompt sessions into a lengthy “dialogue” with your chatbot.

Prompt 1: Give me a swim workout

Prompt 2: I am a college-level swimmer at the Division III level. Create another workout centered on training for the 200 IM.

Prompt 3: Create a training block for a week. My main events are 200 Fly, 400 IM, and 200 IM

Prompt 4: I have concerns that doing that many 200 flys and 400 IMs in a row will be highly taxing on my body

Claude then asked me this (in a pop-out menu with responses I could click):
Q: How would you like to address the load on Saturday?
A: Keep Saturday but reduce volume/intensity
Q: Which event feels most taxing on your body right now?
A: 400 IM

The most helpful prompting strategy I learned is being specific and clear about what I want the AI to do. Instead of asking something basic like “summarize this,” I learned to give more detail, like asking for a summary in my own words, with examples, or in a certain tone. When I do that, the response is way better and actually sounds like something I could say.

One prompt I used was: “Explain this concept in my own words, like I’m talking to someone outside of class.” This helped me understand the topic more because the response was simple and easier to relate to. It didn’t sound too complicated or like a textbook, which made it easier for me to remember.

This connects to what we talked about in class about how prompts shape the response. The better and more detailed your prompt is, the better the AI understands what you want. It’s kind of like giving directions—if you’re vague, you won’t get the result you want, but if you’re specific, you get something way more useful.

Louis, Jordan, Dame

At the beginning, the starter prompt sort of seemed useful, but I knew that the response would be vague. I asked ChatGPT to summarize Toy Story and then I asked it to “summarize Shrek.” Both of these summaries were 8-10 sentences, not nearly enough to fully grab details from a film. The prompt pattern that made the biggest difference was giving it structure. I asked for it to give me a paragraph for each scene and it was much more detailed and searched the web before it did it, so it clearly found the things from the internet. After this, we asked it to help us all run faster in a month and it spit out a plan without knowing any details about us. I then used the reverse conversation method and asked it to ask us details about our height, weight, diets, sleep patterns and other details and once we answered those, it gave us a more detailed, precise plan that would last a month and it gave us an end goal. Overall, I learned that AI is good for outlines and specific plans, but only with specific details. In order to get good results, the user must be specific with their prompts and their results will continue to improve, especially when involving health desires. This draws back to the prompt literacy text that we went over for the week of March 31, where we discussed the benefits and issues behind AI.

 

My prompt to ChatGPT was, “Make me a workout to help me get faster.” In response, Chat said,

“🔥 Day 1 – Acceleration (Start Speed)

Focus: getting fast in the first 10–20 yards

Warm-up (always do this)

• High knees × 20 yards
• Butt kicks × 20 yards
• A-skips × 20 yards
• 2–3 light sprints

Workout

• 10-yard sprints × 6 (full effort)
• 20-yard sprints × 4
• Hill sprints (or resisted) × 4

Rest: 1–2 minutes between reps (FULL recovery)

---

⚡ Day 2 – Strength + Power (Gym)

Focus: explosive legs = more speed

• Squats: 4×5
• Deadlifts: 3×5
• Box jumps: 4×3
• Walking lunges: 3×8 each leg
• Core (planks): 3×30–60 sec

👉 Lift heavy but controlled — power matters more than max weight.

---

💨 Day 3 – Top Speed & Form

Focus: running fast once you’re already moving

Drills

• A-skips × 2
• B-skips × 2
• Stride-outs × 2

Workout

• Flying 20s (build up, then sprint 20 yards) × 5
• 40-yard sprints × 3

👉 Focus on:

• Relaxed upper body
• Big stride, fast arms
• Don’t tense up

---

🧠 Day 4 (Optional) – Agility & Change of Direction

Short burst sprints (5–10 yards)

Ladder drills (quick feet)

Cone drills (5-10-5 shuttle) × 4″

This workout is okay, but it does not give me any ideas that appeal to my own personal needs.

This prompt would be helpful for a new athlete, looking to learn basic workouts to get faster.

LLMs may not give you the outputs you desire when your prompts are not specific and clear.