Behind the Scenes of PicFlow's AI: how the intelligence understands your content and generates Energy Cards

January 22, 2026
6 min read
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Behind the Scenes of PicFlow's AI: how the intelligence understands your content and generates Energy Cards

When you see a ready Energy Card in PicFlow, the feeling is magical:

  • a common photo becomes a work of art

  • a captured moment turns into a powerful visual piece

  • a sequence of scenes transforms into a coherent collection

Behind this, there is technology – but it doesn't have to be a mystery.

This post opens up the “behind the scenes” of PicFlow's AI
to explain, in simple language, how the intelligence understands your content and generates Energy Cards.


What does it mean for PicFlow to be AI-native and multi-LLM?

Two important words:

  • AI-native

    • PicFlow was designed from the start with AI at the product's core, not as an accessory.

  • multi-LLM

    • we use several combined AI models (LLMs and models specialized in vision, audio, etc.)

    • each one is good at a type of task (image, text, sound, context)

    • PicFlow orchestrates all of this to achieve a unique result: the Energy Card.

In practice:

it's not “a generic AI model doing everything”
it's a set of intelligences working together to understand and create.


Step by step: from raw content to Energy Card

1) You send the content

Everything starts with what you already have:

  • photos (of people, products, spaces, moments)

  • short videos (plays, shows, backstage, events)

  • audios (speech, music, crowd, testimonials)

  • texts (captions, phrases, insights, campaign speeches)

This material is sent to PicFlow:

  • in a physical store (via tablet/computer)

  • in e-commerce

  • in event flows, gyms, coworkings, etc.


2) The AI “reads” what is happening

Here different models come into play:

  • computer vision models for images and videos

  • audio models to understand speech and sounds

  • language (LLMs) models to interpret texts and context

They help answer questions like:

  • What appears in the image?

    • people, objects, scenery, type of environment (field, stage, store, home, office).

  • What is happening?

    • goal, show, training, toast, meeting, rehearsal, performance.

  • What kind of emotion is present?

    • celebration, achievement, focus, intimacy, relaxation, positive tension.

  • What words and themes appear in the texts and audios?

    • names of places, dates, contexts (“graduation”, “launch”, “first show”, “championship final”).

With this, PicFlow builds a rich vision of the moment, not just of the isolated image.


3) PicFlow understands who you are and what the usage context is

In addition to the content itself, PicFlow considers:

  • who is using it

    • brand, store, artist, athlete, creator, gym, coworking etc.

  • what is the objective

    • sell frames

    • record a sports journey

    • create content for social media

    • decorate a space

    • make an event recap

And also:

  • what is the desired visual identity

    • more serious and corporate

    • more colorful and creative

    • more sporty and dynamic

    • more artistic and authorial

This information can come from:

  • settings defined by the brand/network

  • saved preferences

  • usage history (what has worked for you before)


4) Choice and combination of visual styles

With the understanding of:

  • content

  • context

  • identity

PicFlow moves to the style stage.

Here, it accesses:

  • a library of visual references:

    • minimalist

    • urban

    • futuristic

    • retro

    • artistic (inspired by movements, aesthetics, cultural scenes)

  • styles defined for segments:

    • frames/decor

    • sports

    • events

    • restaurants/bars

    • coworkings/offices

    • creators/artists

And it can:

  • suggest styles for you to choose

  • or automatically apply those that make the most sense for the context

For example:

  • for a sports collection, AI tends to prioritize styles with:

    • movement

    • striking contrasts

    • sense of energy

  • for a corporate office, it tends towards something:

    • cleaner

    • with colors aligned with the brand

    • with a focus on clarity and elegance


5) Generation of Energy Cards

Based on:

  • understanding of the moment

  • usage context

  • chosen style

PicFlow generates Energy Cards that:

  • highlight the main elements of the scene

  • translate the emotion of the moment (and not just the raw form of the photo)

  • maintain visual consistency among themselves, allowing for the formation of collections

This is where the “card” comes to life:

  • cutouts, compositions, colors, textures, and effects are applied

  • in a way that tells the story with more visual impact

The goal is not to replace the original photo,
but to create an artistic and narrative version of that memory.


6) Organization into collections

Finally, PicFlow helps to:

  • group the Energy Cards into coherent collections, for example:

    • “Championship Final 2026”

    • “Album X Tour”

    • “Family 2026”

    • “Brand Events in 2026”

    • “Coworking History”

    • “Student's Journey at the Gym”

This organization is important because:

  • facilitates the choice of combos (for frames, prints, panels)

  • helps tell stories over time

  • allows for the creation of loyalty programs, retrospectives, physical galleries, etc.


What this means for each persona

For Business / Marketing

  • PicFlow's AI understands brand context, not just isolated images.

  • You gain a visual engine that:

    • respects identity

    • helps sell more (with previews and collections)

    • generates customer visual preference data.

For Artists

  • PicFlow can dialogue with your style:

    • using references, colors, and atmospheres that make sense with your art.

  • Each show, exhibition, or project can become collections of Energy Cards consistent with your language.

For Athletes and clubs

  • AI differentiates between training, games, backstage, crowd, celebrations.

  • Energy Cards translate the intensity of a sports career into visually strong pieces, ready to engage fans, brands, and sponsors.

For Content Creators

  • PicFlow understands milestones, series, channel segments, collabs, backstage.

  • Helps build a coherent channel aesthetic, without relying on manual piece-by-piece editing.


Why understanding this behind-the-scenes matters?

Knowing how PicFlow's AI works helps to:

  • have more confidence in the solution

  • see the platform as a narrative infrastructure, not as a random filter

  • better plan what to record (type of photo, video, moment) to feed PicFlow with what it best utilizes

Furthermore, it helps to dispel two common fears:

  1. “Will AI invent something that has nothing to do with me?”

    • PicFlow's architecture is oriented towards context, identity, and usage history.

    • The focus is to amplify who you are, not to mischaracterize.

  2. “Will I lose control of my brand's aesthetic?”

    • Styles, guidelines, and visual lines can (and should) be defined by the brand, network, or creator.

    • AI works within these parameters.


In summary

Behind the scenes, PicFlow's intelligence:

  1. Reads photos, videos, audios, and texts.

  2. Understands context, emotion, and identity.

  3. Chooses and combines appropriate visual styles.

  4. Generates Energy Cards that tell stories with visual impact.

  5. Organizes everything into collections ready to be used in:

    • campaigns

    • phygital experiences

    • frames, prints, and physical products

    • galleries, loyalty programs, customer, fan, and community journeys

You bring the moments.
PicFlow brings the intelligence.
The Energy Cards are born from this encounter.

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