ChatGPT could not help him, so at age 25 he became his own AI

Máté Márk has developed Azta, an artificial intelligence platform designed to provide accessible legal and tax guidance. Born from a personal need to resolve a tax query independently, the venture faced early volatility, including multiple attempts by the founder to abandon the project and significant personal financial investment. However, the business has since seen rapid scaling, with monthly revenues growing from one million forints in May to 40 million forints by October, maintaining a reported 70 percent monthly growth rate.
The platform is positioned as a supportive tool for professionals rather than a replacement for them. Márk argues that AI will democratize privileged legal knowledge and may actually increase the demand for human experts by generating more complex questions as users become more informed. While the system is intended to handle routine inquiries, the recommendation remains to consult qualified accountants and lawyers for complex matters. The current objective is to integrate Azta into the professional workflow of tax advisors and legal experts.

* Máté Márk created Azta.
* Azta is an artificial intelligence platform for legal and tax questions.
* The founder invested personal funds equivalent to the price of a better car into development.
* The founder deleted the software from his computer four times during early development.
* Monthly revenue in May was one million forints.
* Monthly revenue in October was 40 million forints.
* The company reports a 70 percent monthly growth rate.
* The platform is currently in a trial run.
* A supporting video is available at https://www.youtube.com/watch?v=dU3sNEaLqag

The strongest version of this narrative describes a classic "founder's journey"—initial struggle and failure followed by exponential growth—positioning AI not as a disruptor that eliminates labor, but as a catalyst that increases the value of high-level expertise.
The presentation relies heavily on the "Founder's Myth" pattern: the detail about deleting the software four times and the personal financial sacrifice serves to humanize the entrepreneur and build emotional investment. Furthermore, the claim that AI will increase the need for experts is a strategic framing designed to neutralize professional resistance. This is a classic "complementary" narrative used to lower the defenses of the very industry the technology is automating. The growth figures (1M to 40M) are presented as raw proof of success, though without churn rates or customer acquisition costs, they function more as markers of momentum than as a full financial audit.
Patterns detected: ARC-0018 Anecdotal Evidence, ARC-0016 Appeal to Authority
The underlying paradigm is "technological optimism," assuming that democratizing "privileged knowledge" is inherently beneficial and that the human-AI relationship will naturally remain symbiotic. The second-order consequence is a potential shift in the legal/tax profession where "entry-level" cognitive labor is fully automated, potentially breaking the traditional apprenticeship model where juniors learn by handling the simple questions the AI now answers.
Bridge Questions:
1. If AI handles all basic queries, how will the next generation of tax experts gain the foundational experience necessary to handle "complex" questions?
2. Does the democratization of legal knowledge lead to more accurate compliance, or an increase in "confident but wrong" self-filing?
Counterstrike Scan: A coordinated campaign would use these "struggle-to-success" metrics to lure seed investors or create a sense of inevitable market dominance to pressure competitors. The content matches this pattern of "momentum signaling," though it remains within the bounds of standard entrepreneurial storytelling.