Who we are

About Shortcutters

Shortcutters is a Ukrainian applied AI studio created by a small interdisciplinary team.

We bring together experience in technology, artificial intelligence, product development and creative production.

We love digging into new things, finding non-obvious connections and turning interesting ideas into solutions that actually work.

About the name

A shortcut is a shorter, more direct path to a goal, or a way to complete an action without unnecessary steps.

At work, that shortcut may be one precise prompt, an internal assistant, or a system that brings several tools together. The format changes, but the principle remains: find the most fitting path for a specific task. That is how Shortcutters got its name.

Why Shortcutters

Not everything that can be automated should be automated.

We believe technology should remove what's unnecessary, not create new complexity. It should free up human attention, not demand even more control.

AI should strengthen people where that makes sense, and leave them what truly needs experience, thinking, creativity and responsibility.

For us, a good result isn't more technology in the work — it's more room for what actually matters.

01Expectation

AI should make work easier

  • Less manual work
  • Faster access to information
  • More consistent results
  • More time for important tasks
02Reality

There are many tools. No clear starting point.

  • Services solve only part of a task
  • Platforms need setup and have limitations
  • Courses offer general approaches
03Our role

Turn opportunity into a working solution

We study how the process works, find the right place for AI and build a solution that is easy to use in everyday work.

How we work →

The team

Margarita
Strategy & Delivery Lead

Margarita

Your first point of contact at Shortcutters. Over two years in the crypto industry taught her to think in systems: to spot patterns, structure complex requests and turn them into a clear direction for the team. She coordinates a project from research through delivery.

Kseniia
Applied AI Lead

Kseniia

Leads the development and adoption of Shortcutters solutions, from the first prototype to integration into a client workflow. She has over five years of technical experience in automation, internal AI tools and generative systems.

Veronika
Junior Developer

Veronika

Supports solution development through research, testing, documentation and the technical delivery of Shortcutters projects.

How we work

Not every task needs AI

We start by understanding how work is organized: what happens in practice, where things get stuck and which changes are actually useful. Only then do we choose an approach and decide whether AI is needed at all.

Our goal is not just to hand over a tool. The result should become part of real work, rather than an experiment that is slowly forgotten.

We do this in three steps.
01

Diagnosis

We talk to the people doing the work and look at what really happens: which steps repeat, where context gets lost, what needs manual support and who holds the process together. This clarifies what is worth changing and what is better left alone.

02

Development

Once the cause is clear, we test possible approaches and choose the one that fits the specific task. When useful, we begin with a small prototype to test the key assumption before full implementation.

03

Adoption

We help embed the solution into the team’s regular work, prepare documentation, teach people how to use it and provide what they need to work independently. After launch, we check how it works in practice.

What we have already done

Cases

Tattoo

Tattoo Stencil Assistant

Preparing tattoo transfers without an unnecessary manual stage

Tattoo Stencil Assistant
Before

A tattoo artist had to trace each source image manually. General tools did not preserve the details needed for a transfer.

After

A structured prompt with clear image-processing rules works in the free ChatGPT plan, with no separate paid subscription, and makes transfer preparation repeatable.

Internal toolsContext: Glera

Internal Knowledge Assistant

Finding and adding information in one internal assistant

Internal Knowledge Assistant
Before

Knowledge was stored in a database, while searching for context and adding new information remained separate daily actions.

After

One internal assistant now supports both finding necessary context and adding new data to the knowledge base.

VisualContext: Glera

Visual Prompt System

A reusable prompt system for image generators

Visual Prompt System
Before

A series of images needed a consistent visual style, but each generation still required manual correction and alignment.

After

A structured set of prompts, style rules and presets helped keep a consistent style and get more stable results across different generators.

VisualContext: Glera

Custom AI Image Pipeline

Image generation as part of the production workflow

Custom AI Image Pipeline
Before

The team needed a repeatable production process, not a one-off generation experiment.

After

A custom LoRA and ComfyUI pipeline combined prompts, generation, deployment, documentation and team training into one workflow.

Cultural AI

Training a Visual Style

Cultural AI Models

Training a Visual Style
Before

General-purpose models often lacked regional context and could reproduce stereotypes instead of culturally grounded visual language.

After

Dataset curation, model training, human evaluation and prompt templates supported more culturally aware image generation and model behavior.

Educational AIOur own project

Reading Mentor

Interactive reading practice for TXT and EPUB books

Reading Mentor
Before

A book remained static text: contextual explanations, vocabulary memory and reading-aloud practice were not connected in one learning flow.

After

The prototype turns TXT and EPUB books into an interactive flow with voice interaction, contextual explanations, personal vocabulary and pronunciation feedback.

Questions

Common doubts

What if the task is small?

If something repeats, takes attention or constantly needs manual intervention, even a focused change can be worthwhile. We work with both teams and independent professionals.

What if you do not know which solution you need?

Start by describing the situation. You do not need to choose a tool or know where to use AI in advance. Finding where it can help is our part.

What if there are no technical specialists on the team?

Technical training is not needed to use a completed tool or system. We account for the team’s existing tools, create clear documentation and show how everything works.

What if the budget is limited?

We agree the scope and priorities around the budget while protecting what matters for the result. Sometimes a small prototype is the right first step, rather than a complete system.

What if you do not want a commitment?

The first conversation commits you to nothing. You can describe the situation and see whether continuing makes sense.

What if you already use tools that work?

We do not replace a workflow for the sake of a new system. We look for where a focused solution can extend the tools you already use and fit naturally into the existing process.

Ready to discuss your process?

Tell us what you want to change first
Contact

Let’s start a conversation

Tell us what you work on — we will reply and suggest an appropriate next step.

Easier to talk it through?

Message Margarita on Telegram — no form, no brief. She will help you work out where to start.

Message Margarita on Telegram

Write to us

Briefly describe your situation — we will reply by email.