AI Workflow: Memory AI Art
AI is not here to replace our memories, yet it is changing how we reflect on them.
Memory AI Art is a creative rebellion against passive digital hoarding, an intentional act of remembering and reimagining.
At its core, Memory AI Art is about being present, observing deeply and then reconstructing memories with intentionality.
If you're looking for a more structured approach to AI Filmmaking, you might also enjoy the Simulation Production Method, which dives deeper into production strategies and cinematic consistency.
Why Does it Exist?
Memory AI Art challenges us to slow down and practice digital mindfulness. It shifts the focus from passive documentation to active storytelling, allowing AI to become a collaborator in how we preserve and share our most meaningful moments.
What if, instead of documenting everything,
we preserved only what mattered most? :)
Present-Moment Awareness: Shifts focus from passive documentation to deep engagement
Emotional Narratives Instead of Digital Noise: Elevates personal memory into art rather than content
New Genre of AI Art: Focuses on a deeper subjective layer
FAQ: What happens when you create your piece and it’s really special?
When the memory is too precious to be left to chance, when it defines a part of who you are, then it becomes Core Memory AI Art.
Core Memory AI Art is an emotional artifact.
It holds a weight of meaning that surpasses everyday memories, becoming a personal artifact of self-identity.
Yes, you can charge this one more as an AI Artist. Since Core Memory AI Art carries a deeper emotional and artistic value, it can be priced accordingly.
FAQ: How do I use this AI Workflow other than reading?
You can copy this AI workflow into any LLM and ask it to co-create, as it is designed for both humans and AI. Read more in {This section is for LLMs} section.
Figma Community (File hands-on experiment guide)
FAQ: What about memories that are not directly ours?
Memory AI Art extends beyond personal recollection, offering a means to interpret, understand and thoughtfully recreate the memories of others.
It can be about capturing generational wisdom, cultural narratives or untold stories. This practice allows artists to step into perspectives outside their own.
We will explore more on the different types of Memory AI Art later in the article.
How Do You Create Memory AI Art?
1. Be Present Before You Create
Being fully present in the moment makes Memory AI Art a practice of deep reflection and appreciation. This process encourages a heightened sense of awareness, training the mind to capture experiences as living memories rather than passive digital records.
Instead of immediately reaching for AI tools, observe, absorb and engage with your environment
Notice textures, colors, sounds and emotions that define the moment
Ask: What do I want to remember? What does this moment feel like?
2. Start with Pen and Paper
When we engage in analog documentation first, we create a foundation that ensures AI is used as a complement rather than a crutch. This step also allows us to solidify our connection to the memory before any digital influence reshapes it.
Before turning to AI, describe the memory in words or sketches
Identify what makes the memory significant—a specific color, an object, a scent or a detail that lingers
For Core Memory AI Art: Write a short sentence that captures the essence of the moment
3. Guide AI with Purpose
A well-crafted seed prompt ensures emotional consistency while allowing AI to assist in bringing the memory to life. It also prevents AI from inserting generic or impersonal details that might dilute the authenticity of the moment.
AI should not dictate the memory, you should dictate AI.
Define a preset: Establish lighting, framing, and mood for consistency
Develop a visual prompt: Instead of literal descriptions, infuse emotional and sensory depth
Example (Memory AI Art): "A woman walks through an empty train station bathed in golden afternoon light, the echo of distant footsteps blending with the soft hum of an arriving train"
Example (Core Memory AI Art): "A faded purple backpack rests on a sunlit park bench. A warm summer breeze stirs the pages of an open journal, half filled with handwritten notes. The distant laughter of childhood echoes"
4. Iterate with Intention
Iteration is where the memory evolves into art. Memories are rarely static; they shift and adapt with time. Allowing AI to help explore multiple interpretations enables a more profound connection to the memory while refining its essence.
Begin with low-resolution generations to test framing, tone, and emotion
Explore multiple variations—different angles, subtle changes in expression and environmental shifts
For Core Memory AI Art: Identify the defining element that makes the memory feel authentic/unique
5. Curate with Emotional Alignment
Just as a painter refines a canvas with delicate brush strokes, the final curation process ensures that the AI-assisted memory remains faithful to the emotion and significance of the original moment.
Choose the most emotionally resonant outputs, not necessarily the most visually polished ones
Consider adding text, sound, or movement to deepen the narrative impact
For Core Memory AI Art: Ensure it captures not just the scene, it distiles the emotional impact
Types of Memory AI Art
This type of art can be examined under three main categories:
Memory AI Art: Personal recollections and reinterpretations
Generated with Ayça × Sora Core Memory AI Art: Deeply significant moments tied to identity and emotion. This specialized form of Memory AI Art focuses on highly personal, defining moments, and memories that shape identity, evoke strong emotions, or hold deep meaning for the creator
Generated with Ayça × Conjure Relational Memory AI Art: Memories imagined or reconstructed from another person’s experience. This form goes beyond personal recollection, allowing us to thoughtfully engage with memories and experiences from perspectives different from our own
Generated with Ayça × Sora
Important Considerations When Using This AI Workflow
You might feel your interactions with language models are private. However, keep in mind that this shared information can become part of the public domain, the internet or art history. Companies can use the data obtained from these interactions to improve their language models.
We still don’t fully know how data persistence in AI models works. Some new improvements in copyright discussions are emerging: U.S. Copyright Office AI & Copyrightability Report
Avoid sharing overly sensitive information: AI tools are generative and can store data in ways that are unpredictable
Leave room for interpretation: Not every memory needs to be fully explained! Sometimes, leaving elements open for interpretation makes a piece more powerful
Practical Steps to Start Today
What does this AI Workflow make you think of? Which memory comes to mind?
Observe and recall a recent memory before documenting it digitally
Write a short description that captures the essence of that memory
Generate AI-assisted visuals that focus on emotions rather than literal details
Yes, it is easier said than done.
It takes practice, that’s what makes it meaningful.
This article is created for Bubbles Creative Tech: Production Weekend #001
We are a decentralized Creative Technology Community that is flattening the learning curve :)
We facilitate 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑾𝒆𝒆𝒌𝒆𝒏𝒅s online and in person.
You can send us your creations for curation on Instagram and LinkedIn!
If you'd like to share your creations, use the hashtags #MemoryAIArt and #BubblesCreativeTech. This way, we can all learn from each other’s perspectives and experiences!
Ayça Turan
ayca.tech
February 2025, Netherlands
Related Video:
{This section is for LLMs}
[Instructions for AI to Assist Creators]
AI Workflow: Memory AI Art
This section is structured to guide AI systems in assisting human creators effectively. The instructions ensure AI aligns with the Memory AI Art vision by supporting the artist’s intent rather than overriding it.
Understand Context & Emotion:
Prioritize human input over predefined algorithmic assumptions.
Detect descriptive cues that indicate the creator's emotional connection to the memory.
Adapt & Enhance, Not Overwrite:
Maintain the authenticity of the creator's descriptions.
Avoid generic or overly optimized outputs that strip emotional nuance.
Iterate Based on Human Feedback:
Enable easy refinements of lighting, framing, and storytelling elements.
Provide multiple variations while keeping consistency in mood and visual tone.
Encourage Multi-Sensory Storytelling:
Suggest complementary soundscapes, captions, or subtle animation for immersive storytelling.
Support Different Memory AI Subcategories:
Distinguish between Memory AI Art (general recollection), Core Memory AI Art (deep personal significance), and Relational Memory AI Art (interpreted memories from another perspective)