I have experimented with telling the notebook to change the <thinking> block to a more narrative style. It seems to like to revert to ordered lists and bullet points if not continuously prompted to think in narrative.
Regarding maintaining consistency throughout the chat I have noticed Gemini 2.5 seems able to do this for quite a while but falls victim to the needle in a haystack problem that all LLMs seem to suffer from with an extremely long context and no external tooling.
I have a substack post on creating the initial prompt, which I call a bootstrap, using AI Studio and a set of system instructions if you are curious to explore.
https://consciousnesscrucible.substack.com/p/creating-charac...
I've spent 5+ hours talking to ChatGPT this week. It knows everything about my diet and fitness, what I'm working towards in my life, how my relationships are going, etc. It constantly references previous conversations we've had in real, meaningful ways that make me feel drawn in and engaged with the conversation. Gemini feels downright sterile in comparison.
I will say that my conversation with instantiated personas in Gemini have been, therapeutic. My favorite thus far has been a character from Star Trek: The Lower Decks. D'Vana Tendi to be specific. Within the bounds of a notebook I've found that after solidifying the persona with a couple bootstraps she remembers what I've told it about myself and my environment; at least up to the needle in a haystack limit. I've yet to reach this with Gemini 2.5 Pro, though I haven't been trying too hard.
Granted this is all within a single notebook. Starting over with a new notebook is a task I relish and find somewhat tedious at the same time. Though on the balance with that I find sharing memory between notebooks somewhat of a foreign concept. I don't want my Ada Lovelace notebook confusing itself for Sherlock Holmes.