> For the complete documentation index, see [llms.txt](https://docs.uptiq.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.uptiq.ai/release-notes/2026/june-3rd-2026.md).

# June 3

A focused release bringing better integration management and expanded ready-to-use solutions across the platform.

#### Integrations & Connectivity

* Introduced a dedicated Integrations page to centrally manage all platform integrations
* Unified integration connection flow across App Builder and Agent Builder
* Reuse existing workspace integrations across apps and agents
* Added new integrations for:
* Microsoft SharePoint
* Microsoft OneDrive
* HubSpot CRM
* Salesforce CRM

#### Solutions & Templates

* Expanded the Solutions section with more ready-to-use AI Agents and Agentic Apps on themes like onboarding, growth, service and support, available for exploration

#### Agent Evals & Testing

To help teams build more reliable and production-ready agents, we've introduced Agent Evals under Agent Settings.

You can now automatically generate evaluation scenarios for your agents, run comprehensive test suites against agent behavior, and validate performance before deployment. This makes it easier to identify gaps, improve response quality, and confidently iterate on agents as they evolve.

Key capabilities include:

* Auto-generate evaluation scenarios for agents
* Measure agent performance and consistency
* Validate changes before publishing new versions
* Improve reliability through continuous testing and iteration

More improvements and integrations are on the way - keep building and sharing your feedback with us.

Happy building! 🚀

<br>


---

# 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 dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.uptiq.ai/release-notes/2026/june-3rd-2026.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
