About
About Marta
I build, write, and teach around practical AI for the work we actually have.
My work sits at the intersection of knowledge work, workflow design, data science, and practical AI. I am interested in what happens after the hype fades: how people actually use these tools, where they fail, where they help, and how we can build systems that remain understandable, reliable, and human-led.
Why HitIt.ai Exists
HitIt.ai began from a simple observation: most people are not working inside clean AI demos. They are working inside emails, documents, spreadsheets, deadlines, approvals, reviews, handoffs, and imperfect systems.
This site is where I document the attempt to make that work clearer. Through essays, projects, learning materials, and workflow experiments, I explore how AI can support real knowledge work without pretending the hard parts have disappeared.
My Background
I did not come into AI through a lab. I came through the work itself. I spend my days in research administration, where the reality is complex, document-heavy, deadline-driven processes — exactly the kind of knowledge work where small improvements matter and mistakes are expensive.
I later completed a Master's in Data Science, which gave me language and structure for things I had already been doing by instinct: mapping systems, finding friction, and building processes that hold up under pressure.
Since then, I have been building practical AI-assisted tools and workflow systems for knowledge workers, and writing The Meantime, a book about working with the AI we actually have rather than the AI we are promised.
Alongside that, I am developing learning materials for non-technical professionals — the people doing the real work who deserve a grounded, practical way to understand these tools.
"I don't believe in mindless scaling. I believe in building with care, understanding, and intentional design."
My Approach
I do not believe every problem needs a large platform or a complicated automation. Often the better starting point is smaller: understand the workflow, identify the friction, design the simplest useful support system, and keep responsibility where it belongs.
- Start with the real workflow
Begin with the documents, emails, and recurring tasks as they actually are, not with what a tool can theoretically do. - Build small, useful systems
Favor the smallest support system that makes the work clearer or easier to repeat, before reaching for anything larger. - Keep human judgment in the loop
Keep responsibility, context, and final decisions with the person doing the work. The system supports judgment; it does not replace it.
What I Am Building Toward
The work is becoming one connected system: a book, a blog, a Substack, practical projects, a learning path, and eventually guided workflow support for teams. Each piece serves the same larger question: how do we work with AI in a way that is useful, careful, and grounded in reality?
The Meantime
The book — a non-technical compass for working with the AI we actually have.
The Blog
Ongoing essays documenting what works, what breaks, and what it means.
Projects
The workbench — practical tools and experiments built from real workflows.
Learning Path
A practical learning path for non-technical professionals, in development.
Work With Me
Workflow design and implementation interest for teams, in development.
HitIt.ai is the practical workbench for my writing, tools, courses, and workflow experiments. MartaWasko.com is my author-facing home for the broader public identity around The Meantime and related work.
Where to Go Next
A few good places to start, depending on what you are looking for.