The core idea came from MIT’s DREAM Lab — they proved in 2020 that audio cues delivered during the hypnagogic state (the moment you’re falling asleep) measurably influence dream content. Dream direction is technically possible. It’s not woo — it’s a published paper in Scientific Reports. The question I kept asking: what if you gave someone a personalised pre-sleep ritual built around their exact problem — their words, their metaphors, their emotional state — instead of a generic meditation? That’s what I built. Dream Director uses a language model to generate a bespoke 8–15 minute ritual from three questions answered before bed. It threads the user’s own language back into the guided imagery, intention-setting, and binaural layers. The theory is that personalised framing increases the likelihood of the pre-sleep content carrying forward into actual dream processing. A few things I found interesting from a technical standpoint: — The hardest part wasn’t the generation, it was the structure . A ritual that works has four phases with very specific psychological functions (body scan, imagery, intention seeding, release). Getting the model to reliably honour that structure while still sounding personal took a lot of prompt iteration. — Morning insight generation is genuinely harder than the evening ritual. You’re working with fragments — a feeling, a colour, a face — and trying to surface something meaningful without projecting or hallucinating significance. The failure mode is generic platitudes. Still refining this. — The Dream Language Profile (a personal symbol dictionary that builds over sessions) is the part I’m most interested in technically. The model has to track recurring patterns across weeks of logs and distinguish genuine signal from noise. Haven’t solved this elegantly yet. App is pre-launch — waitlist is open at dreamdirector.app if you’re curious. But mainly posting because I think the application of LLMs to pre-sleep priming is an underexplored space and curious if anyone here has thought about it. submitted by /u/paderon
Originally posted by u/paderon on r/ArtificialInteligence