What’s your daily driver general purpose LLM, i.e. non-coding use cases?

For me ChatGPT o3. 

A bit of Gemini (PDFs), Claude (writing suggestions), Grok (contextual).

Crypto and Blockchain enthusiasts with no friend IRL to talk crypto with so here I am

Husband | Cat Dad | Civil Engineer | /plants - host | $Degen HODLer

What’s the benefit of project folders when search exists?

I have a folder for strength training. I added as a context to all prompts my running routine and body measurement so all the answers are already tailored on me. 

Folders are a killer feature if you have many question about a topic and all need the same context.

I'm not inputing historical data, just the current status and I ask it to suggest exercises or training plan. my current prompt is this:

When answering, please consider:
- I'm a runner (60 km per week)
- I'm 178 cm tall and weigh 65 kg
- I'm 47 years old
- My goal for this year is to increase my upper body muscle mass
- I work out at home in a home gym and have the following equipment available:
- Adjustable dumbbells
- 5 kg and 15 kg barebells
- 10 kg barebell curls
- Adjustable bench
- Squat rack + bench rack
- Various weight plates (0.5, 1, 1.5, 2, 2.5, 5, 10, 15)
- Resistance bands

How has your experience been with adding data like body measurements, exercises and such??

My typical method is to tell chatGPT to make a table to log it, but it tends to hallucinate or just f’up the table at some point lol