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A LITTLE BIT OF AI. A LOT OF POSSIBILITY.

Experiment with AI.
Learn bit by bit.

Turn curiosity into something you can build.
Explore AI through real experiments, step by step,
and put what you learn to work.

You do not need to know everything to start building.

Explore. Experiment. Build.LOCAL AI✳AI AGENTS✳AUTOMATION✳AI FOR BUSINESS

LESS HYPE. MORE HANDS-ON.

AI changes every day.
Understanding keeps growing.

We start with questions people face at work, then look for answers through experiments. We share what works, what does not, and what still needs testing, so you can make informed choices about AI.

↗ Show the experiment↗ Explain it clearly↗ Help you get started

THREE WAYS TO GET CURIOUS

Choose your first bit

Want to see if it works, build it yourself,
or understand the idea? Start here.

ON THE WORKBENCH

Today’s questions. Tomorrow’s projects.

Planned topics · Not yet published

Local AI on an RTX 3060:
how far can it go?

Start with a practical task, then explore speed, memory use, and the trade-offs.

Build your first AI agent
to help with repetitive work

Define the task, design the workflow, and add human review before using it for real work.

What is RAG? How can AI
answer from your documents?

Get the big picture through simple examples, including the limitations to understand before you build.

LET’S BUILD SOMETHING THAT WORKS.

Have a business challenge
you want to explore with AI?

Start with the work you want to improve. Then choose tools
and an approach that fit your team, data, and budget.

Let’s talk about your project

Service contact details are coming soon.

01

AI consultation

Explore your needs and plan how to use AI in your team.

02

Prototype & automation

Prototype apps, agents, and workflows that reduce repetitive work.

03

Hands-on workshop

Learn through your team’s own challenges, with practical skills to keep building.

CURIOUS MINDS. PRACTICAL AI.

Small discoveries.
Room to go further.

Kloobit combines clue + bit: small discoveries that help us understand AI. We are building a place to learn for professionals, business owners, IT teams, developers, and anyone with questions.

Our approach: start with a task, document the tools and conditions, share results and limitations, and help you try it yourself. Credibility should come from work you can inspect and reproduce.