March 2026 Summaries

The exploration of creating effective AI agents highlights the distinction between "prompting" and "writing for agents," emphasizing that writing for agents involves crafting system prompts that define the agent’s identity and behavior, unlike the more conversational and improvisational nature of prompting. It argues that building agents is less about technological advancements and more about understanding and constructing a reader, akin to traditional writing and communication skills. The text reflects on the process of developing the Content Agent at Sanity, revealing insights such as the importance of clear and concise system prompts, the impact of tone on agent output, and the value of demonstrating desired outcomes through examples rather than rigid rules. It critiques the tech industry's tendency to approach agent development as an engineering problem, suggesting that the solution lies in better writing, a skill rooted in long-standing disciplines like rhetoric and linguistics.

Content Agent, part of Sanity's AI platform for content operations, now integrates with Slack, allowing users to perform content audits, bulk edits, translations, and validation checks directly from chat messages. This integration eliminates the need to switch between Slack and a CMS by bringing content management tasks into the same space where discussions occur, thus reducing friction and improving workflow efficiency. The agent understands content models and can navigate CMS data, responding to content-related queries within Slack threads while maintaining the integrity of existing publishing workflows. Additionally, a programmable API enables developers to incorporate Content Agent into their own tools and workflows, supporting the creation of automated AI-driven processes across various platforms. The API offers capabilities such as queryable Slack history, staged edits for review before publishing, and the ability to create integrated services like a review bot or embedded content assistant, positioning it as a versatile tool for content operations.

The text discusses the evolving role of content in the digital world, where it has transitioned from being merely published material to becoming the critical context and infrastructure that powers AI systems and workflows. As AI agents increasingly handle tasks like customer interactions and content creation, they rely on structured, authoritative, and precise context rather than fragmented or outdated information. This shift emphasizes the importance of having a well-organized system of record for content and business logic, akin to a database, that both humans and machines can trust and interact with effectively. This infrastructure, termed the AI Content Operating System, integrates governance and connectivity with external AI tools and platforms, allowing organizations to scale and innovate by leveraging structured content as a strategic asset. The necessity of a robust content foundation is highlighted, as it supports AI and human collaboration, ensuring reliable operations and enabling business growth, with companies like Sanity advancing this paradigm by providing AI-driven content systems.

Agent Context offers an advanced approach to retrieval-augmented generation (RAG) by enhancing AI agents' ability to access structured content, moving beyond the limitations of traditional text-based embeddings. It implements the Model Context Protocol (MCP) to provide AI agents with both semantic search and structured content retrieval capabilities, enabling more accurate and contextually relevant responses. This system improves upon earlier methods by allowing agents to perform precise queries using GROQ, thereby avoiding common issues like data staleness and misinterpretation of flattened content structures. The integration with Sanity's Content Lake ensures real-time updates and structured data management, making it easier for developers familiar with Sanity to build effective AI agents. Agent Context not only enhances the accuracy and functionality of AI-driven applications but also leverages existing content structures, making it an attractive option for those already using Sanity's platform.