A NEW WAY TO REFLECT
Under redevelopmentAI personalized content
Dreamer
A dream becomes a story to reflect on.
A lifestyle project that turns a user's dream into personalized interpretation content and imagery inspired by its scenes.
HOW IT COMES TOGETHER
The core workflow- 01
Dream description
- 02
Structured input
- 03
LLM interpretation
- 04
Writing and imagery
01 / THE QUESTION
The problem we set out to solve.
General dream articles rarely capture the details and feelings of a particular dream. Reading each story and creating a fitting interpretation and image involves repeated work.
02 / OUR APPROACH
Our approach.
We structure dream descriptions and connect them to LLM interpretation and image generation. Dream content discovery and personalized reading are developed together as the product is redesigned.
- 01
Generated interpretations
An LLM writes interpretations from a dream description, with results handled in a defined format.
- 02
Dream content discovery
Web content organized around dream themes helps readers explore related stories.
- 03
Scene-inspired imagery
Image generation expresses the atmosphere and scenes of a dream.
- 04
Content automation
Automation plans and the redesign support premium reading and repeatable content production.
03 / INTELLIGENCE AT WORK
Where AI does the work.
LLMs turn dream descriptions into interpretation content, while image generation adds a visual expression. The web, server, and redesign are presented as one project.
04 / WHERE WE ARE
Where the project stands.
The web experience is being redesigned around existing dream content, interpretation, and image generation. Personalized reading and content automation are evolving together.
Dream interpretations are for entertainment and self-reflection. They do not predict the future or real-world events.
