Sep 11, 2026

Guided MCP Connector Setup, Two Gemini Flash Models, and Steerable Queued Messages

Connecting an MCP tool is now a guided flow with a browsable catalogue, reusable credentials and a check that the connection actually works. Two new Gemini Flash models are available, and a queued chat message can be steered before it sends.

Connectors

  • Guided MCP setup: Connecting a tool walks through its own setup: browse the connector catalogue, open a connector page for what it needs, fill a credential form, and see the connection verified before you rely on it.

  • Credentials are reused: A credential entered once is offered again for the next connector that needs it, rather than being retyped.

  • Connectors come first in tool search: Tool search surfaces MCP connectors ahead of other results, so the thing you are looking for is at the top.

  • Fewer dead ends: OAuth client setup is optional where the connector does not need it, failed tool loading can be retried, and a streamed response is matched to the request that asked for it.

  • Gong call filters are not blocked by setup: Call filters stay available when workspace selection is optional.

Models

  • Gemini 3.7 Flash and Gemini 3.8 Flash: Both are available for workflows and agent configurations, and are the lighter choice when a run does not need a frontier model.

Chat

  • Steer a queued message: A message waiting to send can be adjusted or redirected before it goes, so a change of mind does not mean cancelling the turn.

  • Co-agent chats report progress: A longer interaction shows what is happening while it happens, rather than going quiet until it finishes.

Reporting

  • One filter control, now with Models and Hubs: Report filters are unified into a single interface and cover models and hubs, instead of a separate control per dimension.

  • Hub reports say when collection began: A hub report shows the date its data starts, so a trend is read against the right baseline.

  • Complete model names in CSV exports: An exported CSV carries the full model name rather than leaving the column blank.

Reliability

  • Python says when capacity is full: A Python run that cannot get capacity explains itself instead of failing silently.

  • Steadier visual citations: Visual reading caps its rasters and normalises citation boxes, so references come back in a consistent form.

  • SharePoint requests reach the right tenant: File picking and connected SharePoint workflows route correctly.

  • Current timezone rules: Timezone data is up to date, so dates and schedules survive the latest daylight saving changes.

Precision AI for Institutional Workflows

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Deploy across teams.
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Precision AI for Institutional Workflows

Build once.
Deploy across teams.
Improve over time.

Precision AI for Institutional Workflows

Build once.
Deploy across teams.
Improve over time.