PRACTICAL AI FOR FOUNDERS AND SMALL TEAMS

Put AI to work in your business.

I’m Dima Dart. I work directly with founders to choose what is worth trying, build or connect the right tools, and help their teams use them in everyday work.

My focus is marketing, content and the operations around them—from a single recurring task to a connected way of working.

Dima Dart working on a tablet by a window
Dima Dart

THE APPROACH

Build something you can keep improving.

A useful AI tool is a starting point. The real work is deciding where it belongs, what information it needs, who checks the output and how the team will use it.

I approach this through small experiments with real tasks. Keep what helps, change what does not, and make room to adapt as the tools and the business change.

Start with the work.

  1. Understand the situation

    We look at the task, the people involved, the current tools and what a better outcome would mean.

  2. Choose and test

    We compare possible approaches and try a focused version on real examples before expanding it.

  3. Make it part of the routine

    We define the checks, responsibilities and next improvements needed for the team to use it.

ILLUSTRATIVE EXAMPLE · NOT A CLIENT CASE

A small correction that changes the answer.

A prepared demonstration of how a draft becomes something a team can stand behind.

01 / FOUNDER’S NOTE

Clients often ask about timelines. We want to explain the stages of the work. We do not have a confirmed average duration yet.

02 / UNCHECKED DRAFT

The whole process usually takes three days.

03 / THE CHECK

The source material does not establish a timeframe. Remove the number and explain the stages.

04 / REVISED TEXT

We begin by clarifying the task. Then we agree the scope and timeline for the specific project.

AI can prepare a draft. A person checks the facts and decides what to publish.

WORK WITH ME

Two ways to work with me

01 / Consultation

Consultation

90 minutes · $250

For a decision before you commit to a larger project.

Bring one business question. We’ll examine the process, consider where AI could help and choose a sensible next step.

Booking is currently closed.

Explore the consultation

02 / Ongoing AI partnership

Ongoing AI partnership

Scope and terms agreed together

For work that needs continued attention beyond one conversation.

Work with me over time to set priorities, test ideas, connect tools and help your team adopt the resulting processes.

I’m not taking on new projects right now.

Explore the partnership

WRITING

Notes from the work

Ideas, experiments and explanations for people making decisions about AI in their business.

Read all articles

23 October 2026 · Article

Who helps a business implement AI and when that person is actually needed

An AI implementation partner can connect technology to real processes, test results and support further development. For a simple, low-risk task, an owner or employee may be enough.

23 October 2026 · Article

Which business tasks should you delegate to AI

Delegate bounded tasks with reliable inputs and results you can verify before use. Decisions affecting money, commitments and customer relationships require human oversight.

23 October 2026 · Article

How to build adaptable AI workflows and measure pilot value

Choose a repeatable task, measure its current cost and test a new workflow on comparable cases. Keep sources and tests separate from the model.

ABOUT

The practical details are the work.

I’m an entrepreneur and AI product developer with a background in creative strategy. My work brings together technology, branding and the practical details of running a business.

I’m interested in what happens after the first idea: how a team prepares a brief, answers a customer or puts a new process into use. That is where I work with founders.

Dima Dart

FOR EDITORS AND ORGANIZERS

Questions worth discussing

For editors, organizers and anyone exploring practical AI in business:

  • How to choose a first AI experiment
  • From scattered tools to a working process
  • Quality, responsibility and the limits of automation