Autonomous ticket enrichment for Linear, HubSpot deal notes in your intelligence layer, Survicate surveys now supported, Modes built into prompt templates, Filter-aware retrieval, Regression-ready auto-narrowing playground, On-demand automation runs and bulk subscription cleanup

Apr 13, 2026

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AI

Autonomous ticket enrichment for Linear

Following last week's Jira release, the same autonomous enrichment is now available for Linear. When a ticket is created or updated, the NEXT AI agent retrieves relevant customer evidence and comment directly in Linear with quotes, quantified data, and links back to the source. Instructions to connect Linear.

HubSpot deal notes in your intelligence layer

HubSpot deal notes now sync into NEXT AI daily as highlights — notes from deal calls, objections, feature requests that were previously locked inside your CRM. Each note is linked to its deal and automatically tagged with owner, deal phase, pipeline, deal size, and more, so you can filter and cross-reference sales insights alongside surveys, support tickets, and transcripts. If you already have HubSpot connected, you may be asked to reauthorize once to grant an additional permission.

Survicate surveys now supported

Connect Survicate and your survey responses flow into NEXT AI as highlights — free-text and multi-choice answers combined into a single, readable entry per response. Platform tags (iOS, Android) and language are applied automatically, and rating answers are normalized so filtering and scoring work consistently across all your survey sources.

Modes built into prompt templates

You can now set the analysis mode (Clusters, Hypothesis, Podcast, and others) directly in a prompt template. When someone starts a new analysis from that template, the right mode is already applied — no manual selection, no risk of defaulting to the standard mode and getting the wrong workflow.

Filter-aware data retrieval

When you set tags and date ranges in your Focus, the agent's search query used to restate those same constraints. The agent now recognizes the manually set filters and searches only for the context that's left.

Regression-ready auto-narrowing playground

The data auto-narrowing playground is now a complete simulation environment. Define scenarios with sample prompts and the tags you expect, run them all at once, and get a clear pass or fail for each case. You can see exactly which tags were applied or missed, reuse the same scenarios whenever the narrowing logic changes, and trust the results — the playground runs the same data pipeline as production.

On-demand automation runs and bulk subscription cleanup

Two operations improvements:

  • scheduled automations now have a "Run" button that executes immediately with the current configuration — no need to wait for the next scheduled run or edit triggers to test.

  • Cleaning up subscriptions no longer means deleting one at a time — select multiple, confirm, and remove them in a single step.

Turn customer voice into business impact, faster.