Welcome to the AI Search MCP race. The category is full of "coming soon" roadmaps for operating from chat.
We shipped that in February.
The @AirOpsHQ connector has been live in Claude for 3 months. Customers like Carta, Webflow, and Chime have been pulling citation data, running competitive analysis, and launching refresh and creation strategies from chat since then. Not a phase 2. Not a Q2 plan. Live, in production, in their daily ops.
In fact, our team was on stage at @AnthropicAI Code with Claude event in London today, walking through how we built on top of this foundation. Huge moment.
For those new to the race, catch up when you can. If you need a refresher, here you go: https://t.co/UKpbeEwIZG
If you’ve created content with AI, you’ve run into hallucinations, broken links, and shallow research.
That’s why we’ve partnered with @p0: to ensure your content’s sources are recent, high-quality, and fact-checked. All essential to win AI search.
@DimitrisPapail Couldn’t be implied that the model attends to the action output because the tool call is dependent on previous action?
Then masking allows you to optimize for general problem solving without explicitly exposing the world model. That frees up weights to learn other things no?