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Most problems sound simple before you see the work around them.
Krisztián Józsa · Customer workflows and practical AI
For small teams: prepared customer conversations, notes people reuse, and AI that leaves the final call to a person.
In a busy team, the same context gets rebuilt by hand. A prospect’s history lives in one person’s head. A support answer gets solved once, then solved again. And the next call starts colder than it should.
Selected work
A small marketing team kept rebuilding the same prospect context. I built a review-first workspace: one prospect record becomes editable first drafts of the offer, the presentation and the contract.

A private, chat-based assistant that finds matching roles and prepares application kits from verified evidence, so tailoring makes the real story clearer instead of inventing a new one.

A fancier script wasn’t the fix. The fix was remembering the person you talked to last time.
For a medical-services business: the script, the questions worth asking and last call’s notes, all in one place before the next call.

A personal-development landing page and roughly 100 friendly messages. Most of the no’s actually told me something.



I’m Krisztián, and I live in Cluj-Napoca. My work has been customer support in financial software, where the first explanation is rarely the real one. It taught me to slow down and trace what’s actually going on before I build anything.
I use Hungarian, Romanian and English every day, which has made me careful about how I listen and explain things.
Most problems sound simple before you see the work around them.
A small experiment tells me whether the work is actually helping.
A note the next person can use, not just a ticket marked closed.
Pick one to see where it’s taken me so far, or read the field notes.
By keeping the person present. A good setup remembers the useful context, holds on to the questions that matter and makes room for a better follow-up, instead of turning the pitch robotic.
See Sales AssistTell me where it gets messy. A customer problem, a workflow that isn’t quite clicking, or a question about where AI actually helps: I’d like to hear about it.
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