We build the business models, the financial models, and the software that runs them.

// A financial-analysis engine of the kind we build for clients.
// Read a project's numbers, prove what we can with deterministic
// rules, then escalate the rest to an AI lens that flags risk
// the way a seasoned investor would.

export async function runAnalysis(project, priorFindings = []) {
  const benchmarks = await getBenchmarks(
    project.assetType,
    project.market,
    project.unitCount,
  );

  // Deterministic rules first — math we can prove.
  const ruleFindings = RULES.flatMap((rule) => {
    try {
      return rule.run(project, benchmarks) ?? [];
    } catch (e) {
      console.error(`Rule ${rule.id} failed:`, e.message);
      return [];
    }
  });

  // Then the AI lens, for the risk the rules can't see.
  const context = buildContext(project, benchmarks, [
    ...priorFindings,
    ...ruleFindings,
  ]);

  const response = await analyze(context, {
    system: INVESTOR_PROMPT,
    model: "claude-sonnet-4-6",
    maxTokens: 1500,
  });

  const aiFindings = parseFindings(response)
    .map((f) => ({ ...f, severity: rank(f) }));

  return [...ruleFindings, ...aiFindings];
}