Diligence that reads the repo.
Architecture review, model selection, evaluation, and technical due diligence — led by Valentin Badonfai, who has built and shipped production AI systems end-to-end. Not a consultant who's read about it.
3.1 — Model inventory: 3 production paths (GPT-4o, Claude 3.5 Sonnet, internal fine-tune), routed via custom layer.
3.2 — Routing logic: read in src/router/index.ts. Keyword + intent match, fallback chain configured. Sound for current scale.
3.3 — Cost: $0.018/req median, $0.043 p95. Fine-tune use at 14% of volume. Fully GPU-amortised at >800k req/day.
3.4 — Risks: single-vendor dependency on Anthropic for high-trust workflows. Sub-recommendation §6.2.
3.5 — Eval coverage: 61% of high-stakes paths covered. Below acquirer benchmark of 80%. See §5.
Three modes. One opinion.
Architecture and eval review for builders. Cost and latency audit for CFOs. Transaction-side DD for acquirers. Each scoped tightly, each ending in a written opinion.
Deliverables, named.
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