AI products,
built around people.

We create our own apps, build digital products with founders and growing companies, and integrate AI into the everyday work of teams, all shaped around the people who use them.

A first conversation to understand what you want to build or improve.

01PEOPLE / PRODUCTS / POSSIBILITY
OUR STARTING POINTPeople set
the direction.
01Understand the people
02Build around real needs
03Improve through real use
HUMAN FIRST · AI BUILT AROUND YOU

We use technology to give people more time, better information and clearer ways to get things done.

Selected work

Products built around real needs.

A selection of products we have created, both independently and with clients. Each began with a real need and was shaped around the people using it.

Our product · Mobile app

Morrow

Stay present in the meeting. Morrow prepares what comes next.

Morrow turns conversations into clear write-ups, decisions, tickets and documentation in the tools your team already uses. You review everything before anything happens.

Mobile appHuman approvalConnected tools
Morrow meeting review screen showing suggested actions, summary and decisions

Client product

Reeboozt

Understand what your training is actually doing.

Reeboozt is a focused strength-training app that turns logged workouts into three clear signals: volume, intensity and muscular load. Clear insight keeps the focus on training.

Workout trackingTraining insight

Mobile app for iOS and Android

Product studio

We build digital products around real people and real needs.

We work with founders and growing companies to turn ideas into useful digital products. That can mean defining a new app, improving an existing experience, or adding AI where it creates clear value. We bring product thinking, interface design and development together throughout the work.

  1. 01Understand the people and the need
  2. 02Define the right first outcome
  3. 03Design and build together
  4. 04Launch, learn and improve
Build a product with us

AI integration

AI that becomes part of how your team works.

We design and implement practical AI systems around your team, tools and knowledge. That can mean automating routine work, creating custom AI skills, connecting systems through Model Context Protocol (MCP), improving prompts and context, or building a tailored interface for a specific task.

The technology is shaped around the people using it. We make its role clear, keep important decisions visible and introduce human review wherever judgment matters.

01

Automations and agents

Create reliable flows that prepare information, complete routine steps and move work forward across the tools your team already uses.

02

Custom skills and MCPs

Give AI access to the right tools, actions and knowledge through purpose-built skills and Model Context Protocol integrations.

03

Prompts, context and knowledge

Improve how AI understands your business through tailored instructions, structured context and access to relevant knowledge.

04

Custom AI tools

Build focused assistants, internal interfaces and AI features for work that cannot be solved well with an off-the-shelf tool.

Capabilities

  • Custom MCP servers and integrations
  • Reusable AI skills
  • Agentic workflows
  • Automations across existing tools
  • Prompt and context design
  • Knowledge retrieval
  • Human review and approval
  • Custom assistants and internal tools
  • Documentation, training and iteration
Put AI to work

How we work

Built with people and improved through real use.

We involve the people closest to the need throughout the work. Their experience shapes the direction, the working versions and the decisions we make before launch and beyond.

  1. 01

    Understand the people and the work

    We learn how the work happens today, where people lose time or context, and what they need the technology to help them accomplish.

  2. 02

    Shape the right solution

    We decide what should be improved, what role technology should play and where human judgment needs to remain in control.

  3. 03

    Build together

    We create working versions early so the people involved can use them, question them and influence the direction.

  4. 04

    Learn from real use

    We introduce the solution into everyday work, listen to the people using it and continue improving how well it fits.

You see and use the work throughout the engagement. Important decisions do not disappear into a technical black box.

Practicalities

A few things people usually want to know.

01Who should be involved?

We normally need one person who can make decisions and a small number of people who understand the product or work firsthand. We handle the technical work and explain decisions in plain language.

02Can you work with the tools we already use?

Usually. We begin by understanding your current tools, permissions and constraints. We reuse what works and recommend something new only when it solves a clear problem.

03What can you build for our team?

The result might be an automation, a custom AI skill, an MCP integration, an internal assistant, an AI feature inside an existing product, or a focused system built for a specific task. We choose the form after understanding the need.

04How long does an engagement take?

We agree on a clearly defined first outcome before work begins. A focused integration or prototype is usually smaller than a complete product build. The proposed scope, stages and schedule are documented before you commit.

05What do we own afterwards?

For client work, ownership is defined in the proposal before the project begins. The handover identifies the agreed deliverables, documentation, accounts and any third-party services the solution depends on.

06What happens after launch?

You can take over with documentation and a structured handover, or continue working with us on support and improvements. We agree on that arrangement before launch.

07What happens during the first call?

We discuss what you want to build or improve, who it affects and what you have already tried. If there is a sensible next step, we will suggest one.

The company

Product-minded by nature. Human-first by design.

The Only AIgency creates apps, builds digital products with companies, and integrates AI into the daily work of teams. Product thinking connects everything we do: beginning with a real need, involving the people closest to it, and building technology that works naturally in practice.

Human first does not mean using less technology. It means using technology with greater purpose, so it saves time, supports judgment and gives people better ways to think, create and work together.

The Only AIgency was founded by Maya Boelsmand.

Have a product idea or a place where AI could improve the work?

Tell us what you want to make possible, who it needs to work for and where your team could use more time or better support.

Book an intro call