1.0.0.0 1.0.0+30317634b45ba705cfcfc59f6cdd7e59ad699c5d AiNetProfit - v1.0.0+30317634b45ba705cfcfc59f6cdd7e59ad699c5d Ai No Data – Zero-Training AI™ Interactive Demos

Settings Budget Allocation for TV Infomercials


Simulation Inputs

Initial cash available to test and then to re-buy TV stations
$
Demo is a 12-month run; you can reduce this, but not exceed 12
Number of new TV stations bought monthly by auction for between $20 and $200 for a half-hour
Select performance profile that controls Pull Ratio (PR) range used for each station
Retail price for a one-month supply of the diet (e.g., 59.95)
$
One-Year Supply Upsell Price. Upsell price for a full one-year supply of the diet (e.g., 499.00)
$
Percentage of buys that are cancelled before they air (e.g., 6%)
%
α reward strength for profitability (client-side surface control)
λ constraint strength enforcing budget conservation (client-side surface control)

12-Month TV Income vs Media



Decision Potential Surface (F)

Interactive 3D surface slice over (q1, q2). Updates live when you change inputs (Show Type, Prices, α, λ).

How Zero-Training AI™ Drives Media Buying

This demo is powered by a proprietary, Patent Pending, math-based decision engine. It is NOT an algorithm and does NOT use rules, training data, heuristics, or machine-learning models. Instead, it operates as a dynamical optimization system.

Zero-Training AI™ defines a global decision potential:
                F(q, p) = (1/2) Σ pᵢ²  −  α Σ (ROIᵢ · qᵢ)  +  λ ( Σ qᵢ  −  1 )²
            

qᵢ = allocation weight for station i
pᵢ = momentum of allocation change (decision inertia)
ROIᵢ = front-end pull ratio combined with upsell amplification
α = reward strength for profitability (user adjustable)
λ = constraint strength enforcing total budget conservation

Each month, Zero-Training AI™ evolves its internal state (q, p) across multiple internal time steps. Media dollars flow naturally toward stations that generate higher total economic value — without rules, presets, or explicit instructions.

Although Zero-Training AI™ is built entirely from mathematics rather than data, it qualifies as real artificial intelligence because it performs autonomous decision-making. The system continuously evaluates thousands of possible allocations, responds to changing outcomes, and self-organizes its strategy in real time.

There is no training phase, no stored examples, and no static model. Intelligence emerges directly from the dynamics of the system itself. In short, Zero-Training AI™ does not execute decisions — it evolves them.

Overview of Media Buying on Television

Most people don't realize that the sales of broadcast television time (not cable) is required under federal law to be sold as a negotiated price product which means that the prices for TV Spots (2 minutes or less) as well as half hours (infomercial time) is handled by an auction system.

Most people who have tried to sell their product on television will LOSE money. Why? Because they don't understand that Ad agencies get a 10% to 15% commission on the price of the spots or half hours they buy, so they have a strong incentive to pay the highest price for television time to maximumize their commission.

Ad agencies don't explain to their clients that it is a felony under the RICO racketeering statutes to issue a rate card with fixed prices.

So if you want to sell your product on television in an half hour infomercial, you have to create YOUR OWN AD AGENCY which, in reality is just creating a separate corporation so you can bid and get the lowest prices for half hours of television time which on broadcast TV ranges from $20 to $200 on the largest broadcast stations.

You might ask why half hours are so much cheaper than a 30 second spot? The reason is that when you buy a half hour, you are supplying the content for that half hour, so the TV station doesn't have to pay for content and you are saving them in many cases well over $100,000 for a station to license a popular syndicated show. And so, the owner of that station is happy to accept your $20 for that half hour and let you supply the content.


Entertainment / Educational Use Only: This is a simulated demonstration and provided for entertainment and informational purposes only. Outputs are illustrative only and are NOT intended for real-world use or decision-making of any kind. You must NOT rely on these results to intentionally attempt to profit, gain value, or obtain in-game earnings in any game, marketplace, or platform. No guarantees are made or implied, and results will vary.