4 posts tagged "AI"
Anthropic's 2026 study found a 3x gap between what AI could do (94% of computing tasks) and what it actually does (33%). What observed exposure means for investors and technical DD.
Four LLM integration patterns (API, RAG, Fine-tuning, custom) compared across cost, scale, and risk. A decision framework built on accuracy, data confidentiality, cost, and speed axes.
A five-axis framework for evaluating AI startup moats: data, domain integration, UX, domain knowledge, and distribution. Separates durable advantages from temporary differentiation.
Technical DD for AI-powered startups requires four dimensions beyond the traditional framework: LLM usage classification, prompt IP, eval systems and cost structure, and safety guardrail design.
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