chore: update docs/ai-agents-mcp.md [20260712-2103]

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- **(2026)** [How sales teams use Codex](https://openai.com/academy/codex-for-work/how-sales-teams-use-codex) 🌟 - An operational framework on leveraging Codex to synthesize customer conversations and CRM signals into pipeline briefs.
- **(2026)** [How data science teams use Codex](https://openai.com/academy/codex-for-work/how-data-science-teams-use-codex) 🌟 - A guide illustrating how analytics and data science teams use Codex for dashboard specs and KPI root-cause analysis.
- **(2026)** [How we used Gemini to build Google I/O 2026](https://blog.google/innovation-and-ai/technology/ai/io-2026-google-ai) 🌟 - Google explains how its marketing and engineering teams utilized Gemini models to produce assets for Google I/O 2026.
- **(2026)** [GenPage: Towards End-to-End Generative Homepage Construction at Netflix](https://netflixtechblog.com/genpage-towards-end-to-end-generative-homepage-construction-at-netflix-77146fba8a08?source=rss----2615bd06b42e---4) 🌟 - Netflix researchers introduce GenPage, an autoregressive generative framework designed to build personalized user homepages end-to-end, optimizing layout and content simultaneously.
- **(2026)** [Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix](https://netflixtechblog.com/toward-more-controllable-ai-video-editing-an-early-research-exploration-at-netflix-eb8160ed60a2?source=rss----2615bd06b42e---4) 🌟 - An exploration of Netflix's early-stage research into AI-driven video editing models named Vera (a layered video diffusion model) and VOID, aimed at enhancing creative control.
- **(2026)** [Thinking Fast and Slow for a Personalized Notification System](https://netflixtechblog.com/thinking-fast-slow-for-a-personalized-notification-system-4d89b26525cd?source=rss----2615bd06b42e---4) 🌟 - Using Kahneman's cognitive framework to redesign Netflix's personalized notification scheduling system.
- **(2026)** [A Human-Augmenting Agentic Workflow for Causal Inference](https://netflixtechblog.com/a-human-augmenting-agentic-workflow-for-causal-inference-4623f0a9c5af?source=rss----2615bd06b42e---4) 🌟 - Why LLMs fail at raw causal analysis and how Netflix resolved this using a multi-agent diagnostic loop.
- **(2026)** [GenPage: Towards End-to-End Generative Homepage Construction at Netflix](https://netflixtechblog.com/genpage-towards-end-to-end-generative-homepage-construction-at-netflix-77146fba8a08?gi=9941c6dea4d8&source=rss----2615bd06b42e---4) 🌟 - Netflix researchers introduce GenPage, an autoregressive generative framework designed to build personalized user homepages end-to-end, optimizing layout and content simultaneously.
- **(2026)** [Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix](https://netflixtechblog.com/toward-more-controllable-ai-video-editing-an-early-research-exploration-at-netflix-eb8160ed60a2?gi=b725c159e504&source=rss----2615bd06b42e---4) 🌟 - An exploration of Netflix's early-stage research into AI-driven video editing models named Vera (a layered video diffusion model) and VOID, aimed at enhancing creative control.
- **(2026)** [Thinking Fast and Slow for a Personalized Notification System](https://netflixtechblog.com/thinking-fast-slow-for-a-personalized-notification-system-4d89b26525cd?gi=7ad94c482ff0&source=rss----2615bd06b42e---4) 🌟 - Using Kahneman's cognitive framework to redesign Netflix's personalized notification scheduling system.
- **(2026)** [A Human-Augmenting Agentic Workflow for Causal Inference](https://netflixtechblog.com/a-human-augmenting-agentic-workflow-for-causal-inference-4623f0a9c5af?gi=e5d6fd1ad643&source=rss----2615bd06b42e---4) 🌟 - Why LLMs fail at raw causal analysis and how Netflix resolved this using a multi-agent diagnostic loop.
- **(2026)** [Introducing Amazon Bedrock Managed Knowledge Base for faster, more accurate enterprise AI applications](https://aws.amazon.com/blogs/aws/introducing-amazon-bedrock-managed-knowledge-base-for-faster-more-accurate-enterprise-ai-applications) 🌟 - An introduction to Bedrock's fully managed service designed to simplify enterprise RAG pipelines with native connectors and agentic retrievers.
## AI Governance and Policy