Your AI Agent Runs Linear in the Chat

Create tasks, update status, and look things up. Boei's agentic AI calls the Linear API on the fly and works across web chat, WhatsApp, email, and SMS.

Create tasks live

Update status

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Linear Capabilities

What Your AI Agent Can Do With Linear

Boei's agentic AI calls the Linear API directly during conversations. No marketplace, no glue code. The agent figures out the right call, runs it live, and replies in the chat.

Create a task

Bug reports, feature requests, support follow-ups, the agent creates the Linear task with full context and the right tags.

The export button doesn't work on iPad

Logged in Linear as 'Bug · Export · iPad'. Engineering will pick it up today.

Look up a task

Customers ask for an update, the agent fetches the Linear task and reports status without escalating.

What's the status of my feature request?

Looking up in Linear... it's in 'In Progress', shipping next sprint.

Move a task to done

When the customer confirms it's resolved, the agent moves the Linear task to done and closes the loop.

All good now, thanks

Marked your Linear task as done. Have a good one.

Assign and route

The agent classifies the request and assigns the Linear task to the right owner or team.

I think there's a billing issue with my account

Created a Linear task and assigned it to the finance team. They'll reply within 2 hours.

Need something else? Tell the AI in plain English. The agent figures out the right Linear API call and runs it live.

Engineering Teams Deserve Better Than Secondhand Bug Reports

When a customer hits a bug, they describe it in their own words during a chat conversation. That description usually gets relayed through a support agent, loses detail in translation, and arrives in Linear as a vague issue that engineers have to investigate from scratch.

Boei shortens that chain to one step. The AI agent talks to the customer, asks clarifying questions about what happened, and extracts the details engineers actually need: what the customer was trying to do, what went wrong, what browser or device they were using, and how severe the impact is. Then it fires a webhook that creates a Linear issue with all of that structured data.

Engineers open Linear and find issues with real context from real users. No telephone game, no missing details, no "can you reproduce this?" back-and-forth. The customer's words go straight into the issue description, and the AI adds structure around them.

From Customer Report to Linear Issue

One conversation, one issue, full context

Customer Reports a Problem

A user hits a bug and reaches out through your website chat or any Boei channel. They describe what went wrong in their own words.

AI Agent Gathers Details

The AI asks smart follow-up questions: what were you trying to do? What did you see instead? What browser are you using? It builds a structured report from the conversation.

Linear Issue Created

A webhook fires and creates a Linear issue in the correct project with the title, description, labels, priority level, and a link to the customer conversation.

How Dev Teams Use Boei With Linear

Structured Bug Reports

The AI extracts what the user expected, what actually happened, and environmental details. Engineers get issues they can start working on immediately instead of spending time reproducing vague reports.

Automatic Label Assignment

Issues get labeled based on what area they affect. Payment issues get the billing label. UI glitches get the frontend label. The AI categorizes based on the customer's description so engineers can filter their views.

Project and Team Routing

Backend issues go to the Backend project. Mobile bugs go to the Mobile team. The AI identifies which part of your product is affected and routes the issue to the right Linear project.

Priority From Customer Impact

A customer who cannot complete checkout gets an urgent issue. Someone with a cosmetic complaint gets a low priority. The AI sets Linear priority based on how the bug affects the customer's ability to use your product.

Cycle Planning Input

Customer-reported issues feed into your Linear cycles with real priority data. Your team plans sprints based on what users actually experience, not internal assumptions about what matters.

Customer Voice in Issue Descriptions

The issue description includes the customer's actual words alongside the AI's structured summary. Engineers understand both the technical problem and the human impact without needing to read a full chat transcript.

Frequently Asked Questions

How does Boei send issues to Linear?

Through webhooks. Boei's AI agent packages the bug report or feature request as structured data and sends it via webhook. You can connect it to Linear through Zapier, Make, or a direct API integration using Linear's GraphQL API.

Can the AI distinguish bugs from feature requests?

Yes. The AI agent analyzes the conversation to determine whether the customer is reporting something broken versus requesting something new. Each type gets different labels and can route to different Linear projects.

Does the AI ask follow-up questions about bugs?

Yes. When a customer reports a problem, the AI agent can ask clarifying questions like what they were trying to do, what browser they use, and whether they can reproduce the issue. This gives engineers much better issue descriptions.

Which Linear plans does this work with?

The integration works with all Linear plans that have API access, including the free plan. Linear's API is available on all tiers, so there are no restrictions on their side.

What does the Boei Growth plan include?

The Growth plan is $49/month with annual billing. It includes webhook support, API access, 3 chatbots, 7,000 AI credits, 3 agent seats, and the deal pipeline. Webhooks are needed for the Linear integration.

Other Project Management Integrations

Boei connects to all the project management tools your team already uses.

Trello

Every support request becomes a Trello card.

Asana

Chat conversations create Asana tasks your team can act on.

ClickUp

From chat to ClickUp task in seconds, with full context.

Basecamp

Customer messages become Basecamp to-dos.

monday.com

Turn website conversations into monday.com action items.

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