Research is easy. Rejection is the product.
The system earns its place by filtering aggressively, preserving evidence, and staying quiet when nothing material changed.
Profile
We define the business, geography, stage, amount, use, and acceptable capital types.
Collect
n8n checks official APIs and program pages, then retrieves full records rather than trusting snippets.
Normalize
Sources become a common evidence model with dates, eligibility, category, amount, and limitations.
Analyze
A first-pass analyst scores fit and explains why the item may matter.
Challenge
A separate analyst tries to disqualify each recommendation and catches hidden intermediary rules.
Validate
Code enforces source URLs, requested capital types, intent, eligibility consistency, and prohibited claims.
Source changes trigger alerts. AI wording does not.
A model can describe the same record differently from one run to the next. That is not a change in the world. Material-change detection uses official revision numbers and normalized page fingerprints.
A deadline, amount, eligibility rule, program status, or official source version changed.
The official source is unchanged, even if the generated summary would use different wording.
Human review remains in the pilot
The research engine is automated. Customer-facing judgment is reviewed while we measure usefulness, noise, traceability, and cost. Applications, lender contact, payments, and customer-profile creation do not happen automatically.