A Weekly Reflection Template
I woke up today and realized that while reflecting at the end of the week was really good for me, I didn't have a structure for it, and had never really put serious thought into what good reflective habits looked like.
Because (a) I'm incredibly lazy and (b) thought I probably wasn't the only person in history who had this thought, I decided to ask Claude, ChatGPT and DeepSeek to leverage human knowledge to help me put together a Weekly Reflection Guide (I've included how I did that at the tail of this article).
I wish somebody had shared something like this with me 30 odd years ago, so I thought I'd post it here in case it helps you.
Enjoy!
My Weekly Reflection Guide
1. Check Your State of Mind
2. Celebrate Wins & Gratitude
3. Review Your Time & Energy
4. Analyze Challenges & Growth
5. Assess Relationships & Connection
6. Check on Well-being
7. Plan Adjustments & Experiments
8. Set an Intentional Focus
9. Capture Key Insights
10. Let Go & Look Forward
11. Take Action Now
How I built this list
I think of myself as a Zetetic Pyrrhonist and a Humanist. Roughly speaking, that means that I'm constantly engaged in inquiry, and I try where possible to live a life of dignity, ethics, rationality and human rights (although I often fail!).
That combination has a big influence on how I personally leverage AI to improve myself, in that I assume the closest 'right answer' likely comes from a mixture of as many sources as possible, and I try to keep an open mind, whilst also remaining open to the idea that they've got it completely wrong.
To whit, I've enjoyed using these very simple prompts with AI LLMs recently:
Step 1 - Leave the scope wide open with one LLM.
While there's no such thing as perfection, what might be a perfect way to (x)?
Step 2 - Ask another LLM to rate and review that response
Rate this suggested template for how to (x) out of ten based on (personal criteria), and then make improvements to it based on your observations.
Step 3 - Rinse and repeat with each LLM until they all rate it 9-10
Whilst this process is never going to be perfect, it's a rapid way to get structured thoughts and alignments out of LLMs by leveraging their range of training, databases, and different instructions they will have been fed, based on local cultures and norms.
A final note on AI and Human Ethics
I'm very conscious that this multi-llm approach contributes to the energy suck and potential global energy/environment crisis. I haven't yet figured out quite how to reconcile my thirst for knowledge and understanding, and my belief that by developing myself I'm in a better position to help others, with my awareness that I'm contributing to more issues through my actions.
As of this date, I don't know what the answer is, so if you have thoughts, let me know!