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Teams building AI agents typically evaluate them the way they evaluate any other software: by checking whether the output matches expectations. But agents that autonomously choose tools and sequence operations across multiple sources produce behavior that output-level testing cannot fully characterize. An agent might deliver a well-structured, actionable response while hallucinating, fabricating facts because its tools returned empty results. It might also reach the correct conclusion while skipping the verification steps that a reliable process requires. Because these […]

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Amazon Quick Sight, the business intelligence capability of Amazon Quick, delivers a unified BI experience, from modern interactive dashboards and natural language querying to pixel-perfect reports, machine learning insights, and embedded analytics at scale. Amazon Quick brings together AI-powered agents for business insights, research, and automation in one integrated experience, helping teams work smarter and faster while maintaining security and access policies. Today, we’re excited to announce two new capabilities that make Quick Sight dashboards even more expressive […]

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Release: datasette 1.0a33 This alpha is a significant step on the road to a stable 1.0, finally extending the ?_extra= pattern I introduced in Datasette 1.0a3 to cover queries and rows in addition to tables. That pattern is also now documented! I wrote a whole lot more about the new release on the Datasette project blog: Datasette 1.0a33 with JSON extras in the API. Because API explorer tools are almost free to build now I had Claude Fable […]

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Extracting structured data from unstructured documents such as invoices, contracts, tax forms, and enrollment applications is a common automation goal for organizations. Achieving high extraction precision remains a key challenge. Accuracy degrades when documents diverge from expected templates, formats vary across vendors, or scan quality is poor. With Amazon Bedrock Data Automation (BDA), you can classify, extract, normalize, and validate data from documents through a single API. You use customizable blueprints that generate custom output tailored to your […]

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Anthropic’s Fable 5 launch is easier to grasp from the demo videos than from the benchmark table, so start there. Claude Fable 5 is a… Continue reading on Towards AI »

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Anthropic’s new flagship comes with a twist nobody else has tried. It’s one model wearing two names, and one of them you can’t have. Under the hood, the coding numbers are genuinely startling. The price tag is too. Here’s the honest map of where it lands against GPT-5.5, Gemini, Kimi, and the model most people are actually using right now, Opus 4.8. Another month, another frontier model. I get it, the launches blur together at this point. But this […]

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