
Legora used GPT-6 Astra to review 41 documents in minutes, find all four planted errors, and improve performance by nearly 40% in this financial-review workflow.
A legal software startup used an AI model to complete financial document review work across 41 documents in minutes, a task that traditionally takes entire evenings or days. The AI model found all planted errors in the test accounts and checked every figure against supporting documents while a human expert retained final decision-making authority. The AI showed a 40% improvement over the previous model on this specific financial workflow task, demonstrating gains in accuracy, completeness, and reliability for processing complex financial information at scale.

While restaurant owners might look to generative AI as a shortcut to sprucing up their menu, customers can viscerally sense that something is wrong with the food.
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ChatGPT, Claude, and Grok all suffered outages at nearly the exact same time for reasons that remain murky.

Most teams building a shopping assistant or agent rebuild the same scaffolding: an agent loop, a tool layer over the catalog, an approval gate, and an eval suite. Anthropic has now released that scaffolding as code. This week, they published anthropics/commerce-agents, a reference blueprint containing a shopping agent and a merchant agent, along with four runnable verticals: retail, travel, telecom and entertainment. It ships alongside two write-ups: a product announcement and an engineering de
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