Claude Opus 4.7 Tops Vals AI Finance Agent Benchmark at 64.37%
Claude Opus 4.7 leads the Vals AI Finance Agent benchmark at 64.37%. What the test measures, why finance is harder than retail, and what it means for AI buyers.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Claude Opus 4.7 leads the Vals AI Finance Agent benchmark at 64.37%. What the test measures, why finance is harder than retail, and what it means for AI buyers.
On May 4 2026 OpenAI published its Realtime stack rebuild — split-relay plus transceiver edge. Here is what changed and what it means for production voice agents.
Companies that safely automate 60 to 80 percent of refund requests with verifiable accuracy reduce costs and improve customer experience. Here is how to ship a chat-driven refund and cancellation flow without losing the customer.
Evaluate build vs buy for enterprise calling platforms. Architecture patterns, SIP infrastructure, WebRTC, cost models, and timeline estimates for custom telephony systems.
A practical engineering deep dive into Claude Agent SDK Raleigh, covering architecture, tradeoffs, and what production teams need to know about Research Triangle AI.
A practical engineering deep dive into Claude org skill registry, covering architecture, tradeoffs, and what production teams need to know about enterprise AI.
Personalizing agents for one user is easy. Personalizing them for a million users is a memory-tier problem. The hot/warm/cold split and what each tier optimizes for.
NeMo Guardrails and LlamaGuard solve overlapping problems with different architectures. The trade-offs once you push them past 100 RPS in production agent stacks.
The Process Framework treats business workflows as durable agentic processes with state. A walkthrough on a finance approval pipeline that ships to production.