673 summarised stories about AI APIs & Integration, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 1 month ago 37
datasette-mcp 0.2 changed the “rows” returned by execute_sql from an array of arrays to an array of objects. The plugin now requires mcp>=2.1.1. As a result, outputs are easier for weaker models to map values to columns, and it’s now a first non-alpha release.
Product Hunt 1 month ago 12
Relaticle launched an open-source, approval-gated AI CRM that lets an MCP client use OAuth to access first-party tools and have workspace custom fields mapped into each agent’s schema. It offers 37 first-party tools. Writes happen as record-by-record proposals that must be approved, with everything available for self-hosting under AGPL (including local inference with Ollama) and free self-hosting plus flat per-workspace cloud pricing.
Product Hunt 1 month ago 2
Subanana launched Live Captions that provide accurate subtitles for multiple languages by routing each language to the speech model that works best for it rather than using a single vendor. The launch is happening today. The service also turns the same audio into meeting summaries and publish-ready documents, with users able to try it free before paying for exports.
OpenAI 1 month ago 3 ● 2 sources
ChatGPT was updated so healthcare organizations can connect it to trusted healthcare data, including EHR and other industry datasets. The article specifies that organizations can “now” connect these sources. As a result, clinicians can access added patient context and medical research through ChatGPT rather than only general information.
The Verge 1 month ago 30 ● 2 sources
Google released Google Pics, a new set of creative design tools for Google Workspace that lets users edit and generate business images using AI. The tools are built on Gemini and the Nano Banana generative AI model. Workspace users get more granular object- and text-targeted controls for prompt-based image making and manipulation.
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TLDRocket
19 October 2026
The day’s biggest thread was the messy middle between “agents that act” and the systems that prove they won’t act badly. Hugging Face policy chief Irene Solaiman warned that embedded AI evaluators and today’s benchmarking are still too immature to trust without better reproducibility and clearer comparisons, especially as evaluation is shifting from model-only tests to full-system setups that include the harness and agent—raising cost and forcing standardization. That concern landed alongside a Princeton-led paper on emerging agent-evaluation trends: ExploitBench runs can burn tens of thousands of credits, and the authors argue the field needs more independent, multi-layer evaluation, including real-world and human-impact studies, plus a better evaluation ecosystem.
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