Economic justification

Dry numbers of planned profit and maintenance of TAI token liquidity

Let's take a look at the estimated profits for Tester-AI.

As mentioned earlier, there are 24 million programmers worldwide with an average salary ranging from $2,000 to $15,000 depending on their region and skills. These programmers spend 90% of their time searching for and fixing bugs.

If we can reach just 1% of this market (which is easily achievable in an empty market), that's 240,000 developers. We've calculated that programmers spend about $100 per month on searching for and fixing errors, on average, while using the Tester-AI tool.

The margin of using Tester-AI is 50%, which means there is a net profit of $50. With just 1% market coverage, the company's turnover would be $12,000,000.

50% of this is spent on replenishing the liquidity of the TAI token ($6,000,000), and 10-30% is spent on marketing (we'll take the average value of 20%, which is $2,400,000).

So, $6,000,000 - $2,400,000 = $3,600,000 - $600,000 (office and salary) = $3,000,000 net profit.

That's a total net profit of $3,000,000 with just 1% market coverage within 3 months. Achieving 5-10% market coverage is an easily achievable goal within 3-12 months.

It's important to note that programmers have a salary of $2,000-$15,000, so why spend 80-90% of their time and $100 on searching for and fixing errors? The answer is obvious.

Overall, Tester-AI has the potential to generate significant profits with just a small percentage of the market coverage. With its ability to save programmers time and increase productivity, it's a valuable tool for any programmer looking to improve their work and increase their income. 6,000,000 for TAI token liquidity ? See tokenomics