AI for Software Implementation Requirements
DreamCatcher turns an implementation business requirement into ranked solution options, a design document, and a reviewed pull request — with a person approving every step in between.
Every recommendation is retrieved from your actual product configuration documentation — not the model's general training data.
Solution options, design documents, and pull requests all wait for explicit sign-off — even when there's only one viable option.
Every option is checked against upgrade-safety and cloud-compliance patterns before it reaches a developer.
A voice agent interviews the business user directly, then edits a live UI mockup as the interview progresses — confirmed, turn by turn, before anything moves downstream.
Ten stages. Two of them can't be skipped, no matter how confident the model is.
Process flows, UI screen details, and integration points — all extracted from real customer code, not a diagram someone draws once and forgets to update. These visual, easy to understand tools allow business users to engage in the requirements process.
Add a typekey field BrokerCommissionTier_Ext on Policy backed by a new CommissionTier_Ext typelist, and surface it in the UI.
Create a new PolicyBrokerInfo_Ext entity to hold the commission tier and link it 1:1 to Policy for future extensibility.
Naming conventions, typelist patterns, and cloud-safety rules aren't a prompt instruction hoping the model remembers. They're retrieved, cited, and shown alongside every recommendation.