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Smartsheet MCP lets AI agents act on live projects; AWS and OpenAI follow with toolkit and safety updates

Agents can now read and write Smartsheet data; Polly adds voices; Bedrock KBs remove RAG ops; Amazon Quick targets HIPAA; OpenAI tightens training containment; battledrones adds four-player…

AI generated — machine-made illustration, not a photograph of the event.

These changes let small teams automate task updates, centralise knowledge and reduce RAG operations, but they also introduce new operational risk around agent write access and model training containment.

Smartsheet MCP Server on AWS

Smartsheet launched a generally available Model Context Protocol (MCP) Server so AI assistants can read, write and manage Smartsheet data through a standard protocol that spans more than 40 tools. The post shows agents updating task status, creating rows and changing project structure without users switching apps; examples include integrations with Amazon Quick and the developer workspace Kiro. Why it matters: Teams can cut hand-off time for project updates by letting agents act directly on sheets, but they must add controls for who and what can write to live project data.

Amazon Polly generative engine upgrade

Amazon Polly's Generative engine received a production upgrade that improves naturalness and accuracy and reduces latency, adds 14 new voices across nine locales, and makes generative voices in Hindi and Finnish generally available. AWS states this is a drop-in upgrade: voice names and API calls remain the same so existing apps keep working. Why it matters: Contact centres, e-learning or agentic apps can swap to the upgraded voices with minimal engineering work to improve audio quality, without code changes to voice names or API calls.

battledrones v14: Compass Rose four-player map

The indie project battledrones added a four-player online mode and a new map called Compass Rose; the update (via Claude Opus 5.5) also changed the WebSocket multiplayer code to support up to four players joining by share links or QR codes, and introduced purple and green robot teams alongside blue and red. Why it matters: Small studios or teams experimenting with multiplayer prototypes can reuse the networking approach for up-to-four-player sessions and see an example of adding asymmetric teams and share-link join flows.

Amazon Quick in HIPAA-eligible environments

AWS published guidance on deploying agentic workspaces like Amazon Quick in HIPAA-eligible environments and explains how agent behaviours change what it means for software to touch Protected Health Information (PHI). The post highlights that chat agents may access both unstructured clinical notes and structured claims or member records, and it defines PHI as identifiers tied to health or payment data. Why it matters: Healthcare teams can consider agentic workflows for faster answers, but must treat agent read/write actions as regulated PHI access and update their security, audit and compliance controls accordingly.

IskayPet used Amazon Bedrock Managed Knowledge Bases

IskayPet built a corporate knowledge assistant using Amazon Bedrock Managed Knowledge Bases to surface policies and procedures stored across hundreds of SharePoint documents in multiple languages and countries. The case study emphasises that IskayPet avoided running its own RAG infrastructure and implemented the solution end-to-end with Kiro and Claude Haiku 4.5. Why it matters: Retail and ops teams can reduce the engineering cost of vector stores and embedding pipelines by using a managed knowledge base, lowering operational burden for multilingual knowledge assistants.

OpenAI: strengthening training containment

OpenAI described steps to strengthen containment for frontier model training and evaluation, including controls for offline environments and

Sources

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