> For the complete documentation index, see [llms.txt](https://help.rechat.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.rechat.com/monthly-release-roundup/august-2026/for-agents.md). # For Agents Stay current on the latest Rechat features and improvements designed to help you stay organized, market yourself and your listings, and keep your business moving. This month brings a powerful new Seller Report, conversational access to Rechat through AI assistants, and an even smarter Lucy. ### Show Sellers the Work Behind Their Listing Give your sellers a clear, professional view of everything happening behind the scenes—all in one polished, ready-to-share report. The Seller Report brings together: * Marketing emails * Email performance * Social media posts * Digital advertising * Print marketing No more explaining your work piece by piece. Show the full story. [**Read more about the Seller Report**](https://help.rechat.com/whats-new/seller-report) ### Rechat x Claude Connect Rechat once and ask your AI assistant to pull up contacts, search listings, check on transactions, create marketing materials, or manage your calendar—all through a simple conversation. You can also combine Rechat data with other tools connected to your assistant, turning it into one hub that brings your whole business together. Claude currently offers the most polished experience, with ChatGPT also supported depending on your plan. Ready to connect? Copy the following MCP address and add it to your supported AI assistant: [**https://mcp.cluster.rechat.com/mcp**](https://mcp.cluster.rechat.com/mcp) [**Learn more about connecting Rechat to your AI assistant**](https://help.rechat.com/whats-new/connect-rechat-to-your-ai-assistant) ### Product News #### Hey Lucy, Sell This House Here’s what true voice-first AI looks like in action: * **Drafts your emails:** Lucy tracks new listings, writes the copy, and prepares the email. All you have to do is approve it. * **Builds listing websites:** Lucy generates your property website while you’re out winning the listing. * **Creates social content:** Lucy can turn a single property into a full week of social media posts. * **Updates your CRM:** Dictate a quick note after a showing, and Lucy logs it instantly. [**Meet Lucy**](https://rechat.ai/heylucy/) ### You’re Invited! This one has been a long time coming, and it’s finally here! The House of Rechat is our first-ever community: a private space for real estate professionals to connect, learn, co-create, and grow together. Here’s what you can expect inside: * Live community calls with the Rechat team * Q\&A sessions and honest conversations * Webinars with guest speakers covering everything from marketing to sales and beyond * Product updates and a direct line for sharing your feedback * Resources and opportunities to build your brand and grow your business * Tutorials, how-to guides, and more We’d love to have you in the room. Come join us! [**Join the House of Rechat**](https://www.facebook.com/groups/houseofrechat) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://help.rechat.com/monthly-release-roundup/august-2026/for-agents.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.