Inside ASCEND-BUILD: How the AI Wealth Engine Scores an Income Stream
Seven weighted factors decide which income stream gets built today, then the engine costs it, sequences it and hands back a three-step daily plan sized to your capital and hours.
The seven factors, and why each is weighted where it is
Demand Signal carries the most weight at 19%: search intent, hiring posts and unmet-need volume in the niche. Margin Durability follows at 17% — contribution margin after fulfilment, tooling and refunds, not gross revenue. Acquisition Efficiency at 16% prices the blended cost of a paying customer against payback period.
Time to First Dollar (14%) rewards streams that reach a paid pilot quickly. Defensibility (12%) reads switching cost and supply constraint. Operational Load (11%) counts founder hours per week once delivery is documented, and Retention Risk (11%) models churn across the first two billing cycles.
Scoring runs daily, and reseeds by calendar day
Every candidate stream is rescored each UTC day, so the board reflects the day it claims to. The top-scoring model is then built out: costed, sequenced and documented, rather than named and left as a suggestion.
The output is deliberately narrow — one stream, three execution steps, and the numbers behind the choice. A list of twenty ideas is a reading exercise; one costed plan is work you can do today.
Your constraints change the answer
When a member fills in the wealth desk profile — goal, starting capital, weekly hours, skills, preferred channels, risk comfort and time horizon — every candidate is re-scored with a fit term against those constraints. A stream that needs forty hours a week is not ranked first for someone with eight.
The same profile drives the cash-management split: a cash reserve, a risk sleeve and a per-position cap, with the day's live-priced market ideas sized against the risk sleeve rather than the whole account.
What it does not claim
The engine models economics; it does not guarantee income. Costs, timelines and margins are modelled estimates that move when your market moves, and any stream can fail to reach its modelled price.
What it does guarantee is that the reasoning is visible: the factor scores, the costs and the sequence are published alongside the plan, so you can disagree with a specific number instead of the conclusion as a whole.