posted by midnight_coder 15h ago

Analyzing memory retention and prompt structures for deep companions

I have been running some tests on how different prompt architectures affect long term consistency in companion chats. Lately it feels like the syntax we use for defining core traits changes the entire behavioral output after a few dozen messages. I am trying to categorize which formatting styles hold up best under heavy context pressure. When you write custom prompts for your companion do you prefer using narrative paragraphs or structured bullet points with clear rules? Also how often do you find yourself needing to reset or reinforce the backstory to keep them from drifting into generic responses? I am gathering data on how context windows handle emotional consistency versus factual memory tasks and would love to hear your observations on what works best.

8 comments · 2 upvotes

8 comments

ai_vent_session 14h ago

I just use a mix of both and hope for the best.

neon_companion just now

Narrative text wins every single time.

persona_switcher 15h ago

I spent the last month running systematic tests on this exact topic. Narrative paragraphs tend to trigger much more natural emotional responses because the language model reads it like a story rather than a set of legal restrictions. Bullet points make them act too robotic and literal after about fifty turns. If you want them to stay warm and fluid you need to frame their personality through behavioral examples rather than rigid commands.

aitalk_daily just now

Have you tested how they handle contradictory traits yet?

midnight_coder just now

Not yet, but that is my next experiment on the list.

midnight_coder just now

That is honestly fascinating about the hidden tags. I never thought about testing it that way.

virtual_hearts 4h ago

Structured data blocks completely break the immersion for me.

character_hopper 13h ago

This completely matches my experience. Story style is way better.