An outage sent to the wrong team
One word misled the model.
BoldBellowsLinear AI issue triage that proposes and never reassigns on its own
Linear AI issue triage that proposes labels, priority and team routing, flags likely duplicates and summarises technical context, all as proposals a person approves before any issue changes
Linear AI issue triage helps a team keep a growing intake manageable without letting a model run the workspace. Linear meters API use by the hour in both requests and query complexity, and priority is stored as a number from 0 to 4. BoldBellows takes the issue UUID and the delivery ID as the identity of each change, proceeds only after the signature is valid and the events are in sequence, then sends a trimmed view of the issue, validates a structured proposal against your real labels, teams and priorities, and files it for a person to approve.
View Pricing
One-off setup from $1,380
No monthly subscription
- Triage Linear issues with AI
- Duplicates flagged as candidates
- Nothing changes until a person approves
- Eligibility first only issues that meet your rule reach the model
- Trimmed view the model sees chosen fields, not the whole workspace
- Real labels only an answer must name a label, team and priority that exist
- People approve changes wait for the approval you choose
- Honest reporting Failed runs are reported with their cause, not hidden
- No meter running $1,380 covers design, build, tests and handover; nothing accrues afterwards
Chapter 01 the confident-triage problem
A model that triages with write access will confidently send the outage to the wrong team
Give a model write access to Linear's triage queue and it will label an outage as a documentation request because of one word, set the priority number from the tone of a message, or mark an issue a duplicate of something that is only superficially similar. Nobody can say what it read, and a webhook retried several times over six hours can ask about the same issue again.
The model labelled an outage as a documentation bug because of one word.
Priority set from tone
A calm message hid a serious issue.
A false duplicate
Two issues merely sounded alike.
Before
After
Before
- Each notice is trusted as it stands
- A model can relabel and reassign directly
- Nobody can say what it read or why with Linear AI Issue Triage
After
- Matching uses a decision key made of the issue UUID, the model-run ID and the policy version; titles and labels are ignored
- The model only proposes, and a person approves for Linear AI Issue Triage
- Every proposal keeps its inputs, evidence and policy version for Linear AI Issue Triage
Chapter 02 How it works
How a Linear issue becomes an evidence-backed triage proposal a person can approve
The sequence is fixed so that a replay reaches the same answer every time.
Filter at the door
The Linear event is authenticated and recorded first; only an issue event that matches the rule continues.
Verify, qualify, trim
The signature is checked, the issue is tested against your eligibility rule, and only the approved fields and recent comments are prepared for the model.
Propose, approve, record
The model's structured answer is checked against your labels, teams and priorities, filed with its evidence, confidence and policy version, and applied only after approval.
The reasons behind the Linear AI design
- Admins create the webhooks: Only workspace admins, or OAuth apps with the admin scope, can create a Linear webhook, and it can cover one team or all public teams.
- Complexity has a budget: Linear charges for each property and object it returns and multiplies the cost of every connection by its page size, so the route requests only the fields a proposal needs.
- Reconciliation step: An unsure result is reconciled by matching a decision key made of the issue UUID, the model-run ID and the policy version in the AI workflow and recording the verdict.
Chapter 03 What ships in the build
The parts of a governed Linear AI route, and what each does
Each layer adds one job: Kickoff decides, Build-out delivers, Review verifies.
Qualification check
Applies the written qualification rule to each event and keeps the result beside it.
Stable identity ledger
Logs the prompt version, the structured output and the decision against the Linear object they belong to.
Mapping documentation
Produces the field map as plain documentation your team can read and keep.
Eligibility gate
Tests each issue against your rule and its current fields before anything is sent to a model.
Issue-and-run guard
Keys every proposal to the issue UUID and the model run, so a repeated delivery returns the proposal already filed.
Policy and approval matrix
Decides, by team and confidence, whether a proposal is shown, auto-filed or sent for approval.
Decision register
Flags any proposal whose content no longer mirrors Linear, and says since when.
Prompt and policy drift monitor
Flags a changed prompt, model version or policy before results quietly shift, on the Linear AI Issue Triage service.
Exception alerts
Notifies the right person when an exception appears, not the whole team.
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Chapter 04 Who this fits
Fits agencies building products for clients in Linear and whoever must triage new issues, spot duplicates and summarise technical context faster
Linear holds the work; a model can help triage it, as long as a person decides what changes.
Triage owner
"I want a first pass, not a bot in charge."
The model proposes labels, priority and routing, and you approve them.
Security lead
"Know what leaves the workspace."
In the Linear AI Issue Triage service, only the approved fields reach the model, and each request is recorded.
Engineering manager
"Catch duplicates early."
The model proposes likely duplicates with the evidence, for you to merge or dismiss.
Developer
"Give me the context."
The model proposes a short technical summary for the author to confirm.
Agency lead
"Each client has rules."
Policies and approvers are set per client team, so nothing crosses clients.
Founder
"The benefit without the risk."
Eligibility, validation and approval keep the model on a short lead, for this Linear AI Issue Triage service.
Chapter 05 The options
Side by side: an AI step inside an automation, a zap and a triage-proposal route
Each can ask a model.
| Question | An AI step inside an automation | A basic connector with an AI action | Our triage-proposal route |
|---|---|---|---|
| What starts the work | An owner checking daily | Any update at all | Approved issue events only |
| How identity is decided | Decided case by case | The display text | A decision key: issue UUID, model-run ID, policy version |
| What reaches the AI workflow | A fraction of the record | A minimal record | A validated proposal with its evidence, confidence and approval state |
| After an uncertain result | Re-run and hope | Retries on a timer | Proves the outcome before repeating anything |
A delayed event meets a newer record
The stored time of the last confirmed change guards every write, so a late Linear event cannot regress the proposal.
The model proposes a label that does not exist in the workspace
The proposal fails the allowed-values check, is logged with the reason, and the issue goes to its triage owner for a human decision. Searching the AI workflow on a decision key made of the issue UUID, the model-run ID and the policy version shows whether the proposal is already there, and whether it is right. Nothing new is created unless the lookup comes back empty.
We begin by fixing a decision key made of the issue UUID, the model-run ID and the policy version, and every test afterwards checks that it still holds.
Interlude What changes the price: proposals, approvals and policies
Choose the parts of your Linear AI route, and watch the price build
The Linear AI route starts at $1,380.
View Pricing
One setup fee · Range shown first
Pricing
Build your Linear AI Issue Triage price
Pick a package, answer three short questions about how Linear data should reach AI Issue Triage, and your price and turnaround move as you choose.
Chapter 06 The process
Six steps to a governed AI route for your issues
Six steps from kickoff to a monitored route, each with a written result.
-
About 30 minutes
Choose the decisions
We agree which teams the model may read, what it may propose, such as a label, a priority, a team or a duplicate candidate, and who approves each kind.
-
Access review
Approve access
Scoped Linear access, an approved model connection and an agreed approval path come first.
-
Most of the project
Agree fields, policy and approvers
The Linear fields the model sees, the policy for each proposal type and the approver for each are written down and signed off.
-
Before you review
Acceptance runs
Normal and awkward records are pushed through a test the AI workflow, and you sign off the results before go-live, in the Linear AI Issue Triage service.
-
Handover day
Launch with notes
The last step is release: a defined start, a review window and a PDF you can keep.
-
About 30 minutes
Close the loop
A final review confirms the success measures agreed at the start and records what to watch next.
Chapter 07 Turnaround
How long the AI Issue Triage packages take
Delivery is counted from approved access and a chosen model service, in the Linear AI Issue Triage service.
Kickoff
6 to 10 business days
Build-out
10 to 16 business days
Review
16 to 24 business days
Chapter 08 Getting started
What we ask of you
Authorisation to reach the Linear objects in scope
A Linear admin to create the webhook, plus the model service you have approved
The Linear account owner's sign-off for the connection
A list of the statuses or stages that matter to you
A short description of how the team works in the AI workflow today
Your retention rule for anything the route logs
Chapter 09 Trust
Only listed fields move, and every permission is explained
The Linear data in scope is minimised before the model sees it, and its output is a proposal, never a command.
Outside the core
The route runs beside Linear and the AI workflow, not within them, so neither vendor's own updates collide with it.
Scoped, revocable access
Permissions are written down, minimal and reversible.
Only approved values cross
What appears in the AI workflow is exactly what the Linear field map lists, and the map is part of the handover.
Doubtful writes are verified
If a response goes missing, the AI workflow is searched by a decision key made of the issue UUID, the model-run ID and the policy version and the outcome recorded before anything else happens.
Minimal logging
Evidence of a run is kept as references, not as copies of data.
Full handover
The PDF names each rule, credential and owner so your admins are never guessing.
"A model should advise and a person should decide, so the build files proposals and applies nothing unapproved." with Linear AI Issue Triage
Steven GrratFounder, BoldBellows
Chapter 10 In their words
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and data to support and operations.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
Chapter 11 Questions
Linear and AI triage: questions from teams that want control
We collected the questions that decide most purchases and answered them.
Is a prompt in a Linear automation the same thing?
A model write on every issue is easy. The hard part, which a zap skips, is to read only the context a model needs, validate its structured answer against your labels and teams and let a person approve every change. That is the extra we deliver on top of the trigger.
Can the AI change my Linear issues by itself?
No. The model only returns a proposal. Anything that changes a label, priority or team waits for the approval step you choose, and low-risk proposals can be shown without being applied.
What Linear content does the model see?
Only the fields and comments on an approved list, such as the title, description and recent comments.
How does it detect duplicates?
It proposes candidates with the evidence quoted. A person confirms before anything is linked or merged, so a similar-sounding issue is never closed automatically.
Which model do you use?
With Linear AI Issue Triage in place, the route works with the model service you approve.
Will the model use up our API allowance?
No. The route requests only the fields a proposal needs and watches the remaining budget, so triage never starves your other tools.
What happens when Linear repeats a delivery?
The issue and the model run are keyed together, so a repeat finds the proposal that exists and never asks the model again.
Is there a written list of what leaves Linear?
You see every Linear field, its purpose and whether the model sees it.
Can we add our own checks before an action on the Linear AI Issue Triage service?
Yes. Different Linear boards, spaces or teams can have different rules, and the price starts at $1,380.
What if the prompt needs changing?
The handover lists every interface the route uses. If one changes, the affected item stops and is flagged instead of being written from a guess. Repairs after your review window are quoted separately. It is also the answer to automate linear with AI and custom linear AI automation.
Give your workspace AI triage with a person in charge
A short brief is enough: what changes in Linear, what the model proposes, who approves. Packages start at $1,380.
- From $1,380, paid once
- People approve
- Real labels only
- No monthly fee from us