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Desks answer. Agents fix.Tore does both.

Most teams run a help desk on one side and an error tracker on the other, joined by a person retyping. Here is how Tore compares, and when another tool is the better pick.

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app.tore.ai/beacon-data/TCK-482

Example data

Animation: the same bug report handled with a help desk alone, bouncing between support and engineering for days, then with Tore, where the report is captured, answered, investigated, fixed, approved and the customer is told.

Sarah · #support

@eng anyone looked at the export bug? Beacon Data again.

Tom · #eng

Can we get a screenshot and the browser version?

Priya · email

Any update? I still only get 500 rows.

Lena · #eng

Can't reproduce it on my account.

Sarah · #support

Bumping this. She asked again.

Ticket open0d 00h

TCK-482Export stops at 500 rowsNew

SarahSupport

TomEngineer

LenaEngineer

PriyaCustomer

reassigned 3 timesno replayno logscustomer asked 4 times

Tore takes TCK-482 end to endBeacon Data · reported by Priya R.

Report capturedreplay, console, network09:14

Priya answeredno repeat questions09:14

Root cause foundpaginate.ts:57 · Sentry09:16

Fix written+1 −1 · tests pass09:21

Approvedby Alex, your engineer09:27

DeployedPriya told it is fixed09:31

ExportRowMismatchSentry · 41 events · since a41c9e2

Rows per export flat at 500metrics · export_rows_written

PR #1287 · +1 −1GitHub · approved by Alex

The export stops at 500 rows and I have 912 contacts.

Fixed and deployed. Your next export will include all 912 contacts.

One tool on both sidesof the seam.

The report says the checkout broke. The error tracker knows exactly which line threw. Nothing joins those two facts unless one tool holds both.

Reports arrive with the evidence

Replay, console and network ride along with the bug report, so nobody asks the customer what browser they were on.

Ask for a screenshot and wait

Nobody retypes context

The conversation, the investigation and the reply live in one thread. Support and engineering read the same page.

Copy stack traces between two tools

The fix starts from the code

An investigation reads the repository you connect and hands your engineer a change to approve.

A ticket in a backlog, waiting for a repro

The reporter hears the ending

When the fix lands, the people who reported it are told, on the channel they used.

They find out by trying again

Just a help desk,or a help desk with Tore.

Your help desk answers. Tore also reaches the code.

What happens with a help desk alone compared with a help desk plus Tore
What happens	Help desk alone	Help desk + Tore
Email and widget in one shared queue	Yes	Yes
Bug report arrives with replay, console and network	ask the customer	Yes
Repeating reports promoted to one ticket	by hand	Yes
Error tracker events grouped and investigated	separate tool	Yes
An investigation that reads your repository	not there	Yes
A proposed change for your engineer to approve	not there	Yes
Pull request opened on its own branch, for you to approve	not there	Yes
Reporters told when the fix lands	if someone remembers	Yes

Everybody covers part of this.Here is where each one stops.

Two of these write code fixes, and both do it well. We have not found another tool that runs the whole line, from your error stream to the customer being told.

ToreSupport platform with the fix loop built in

Support inbox
In-app bug capture
Starts from your error stream
Investigates your code
Opens the pull request
Feedback board and roadmap
Tells the reporter it shipped

Intercom (Fin)

AI support agent, priced per outcome

Support inbox: yes
In-app bug capture: no
Starts from your error stream: no
Investigates your code: no
Opens the pull request: no
Feedback board and roadmap: no
Tells the reporter it shipped: no

Where it is strong: AI answers inside a full support inbox.
Pick Intercom when: Your problem is answering questions, not fixing what broke behind them.

Read Tore vs Intercom

Zendesk

Traditional help desk with AI added

Support inbox: yes
In-app bug capture: no
Starts from your error stream: no
Investigates your code: no
Opens the pull request: no
Feedback board and roadmap: no
Tells the reporter it shipped: no

Where it is strong: A mature support inbox, with AI added on top.
Pick Zendesk when: You want a classic help desk, and engineering already has its own way to take bugs.

Read Tore vs Zendesk

Gleap

Support and bug capture, with a code-fix agent

Support inbox: yes
In-app bug capture: yes
Starts from your error stream: no
Investigates your code: yes
Opens the pull request: yes
Feedback board and roadmap: yes
Tells the reporter it shipped: partly

Where it is strong: Ships the report-to-pull-request loop today, with in-app bug capture and a support inbox.
Pick Gleap when: Your fixes start from what users report, and you do not need investigations to start from your error stream.

Read Tore vs Gleap

Pylon

Agentic support built for business customers

Support inbox: yes
In-app bug capture: no
Starts from your error stream: no
Investigates your code: partly
Opens the pull request: no
Feedback board and roadmap: no
Tells the reporter it shipped: partly

Where it is strong: Agentic support shaped around business accounts.
Pick Pylon when: You support business customers and the code side stays with your engineers.

Read Tore vs Pylon

Featurebase

Support, feedback and changelog in one

Support inbox: yes
In-app bug capture: partly
Starts from your error stream: no
Investigates your code: no
Opens the pull request: no
Feedback board and roadmap: yes
Tells the reporter it shipped: partly

Where it is strong: Support, a feedback board, a roadmap and a changelog in one place.
Pick Featurebase when: Feedback and the changelog matter most, and code fixes stay with your team.

Read Tore vs Featurebase

Sentry Seer

Error tracking with an automated fix agent

Support inbox: no
In-app bug capture: no
Starts from your error stream: yes
Investigates your code: yes
Opens the pull request: yes
Feedback board and roadmap: no
Tells the reporter it shipped: no

Where it is strong: Starts from your error stream, investigates the code and opens the pull request.
Pick Sentry Seer when: You want automated fixes on the engineering side and run support in a separate tool.

Read Tore vs Sentry Seer

Freshdesk

Traditional help desk with AI added

Support inbox: yes
In-app bug capture: no
Starts from your error stream: no
Investigates your code: no
Opens the pull request: no
Feedback board and roadmap: no
Tells the reporter it shipped: no

Where it is strong: A familiar support inbox, with AI added on top.
Pick Freshdesk when: You want a classic help desk, and engineering already has its own way to take bugs.

Read Tore vs Freshdesk

Jam

Bug capture, sent to your tracker

Support inbox: no
In-app bug capture: yes
Starts from your error stream: no
Investigates your code: no
Opens the pull request: no
Feedback board and roadmap: no
Tells the reporter it shipped: no

Where it is strong: Clear bug reports, captured in the browser and sent to your tracker.
Pick Jam when: You only need better bug reports landing in the tracker you already use.

Read Tore vs Jam

Canny

Feedback board and roadmap

Support inbox: no
In-app bug capture: no
Starts from your error stream: no
Investigates your code: no
Opens the pull request: no
Feedback board and roadmap: yes
Tells the reporter it shipped: yes

Where it is strong: A feedback board and roadmap that tells people when their request ships.
Pick Canny when: You want a feedback board and roadmap on its own.

Read Tore vs Canny

Plain

API-first support built for B2B teams

Support inbox: yes
In-app bug capture: no
Starts from your error stream: no
Investigates your code: no
Opens the pull request: no
Feedback board and roadmap: no
Tells the reporter it shipped: partly

Where it is strong: Support for B2B teams across Slack, Teams, Discord, email and chat, with AI agents and an API for almost everything.
Pick Plain when: You support business customers in shared channels and want to build on an API, with code fixes left to your engineers.

Read Tore vs Plain

Cyrus

Claude Code working from your Linear issues

Support inbox: no
In-app bug capture: no
Starts from your error stream: no
Investigates your code: yes
Opens the pull request: yes
Feedback board and roadmap: no
Tells the reporter it shipped: no

Where it is strong: Turns Linear issues assigned to it into pull requests, running Claude Code with your own keys.
Pick Cyrus when: Your work already starts as Linear issues and you have no customer conversation to run.

Read Tore vs Cyrus

AI chatbots

Generic support chatbots on your site

Support inbox: yes
In-app bug capture: no
Starts from your error stream: no
Investigates your code: no
Opens the pull request: no
Feedback board and roadmap: no
Tells the reporter it shipped: no

Where it is strong: Instant answers from your docs at any hour, with a hand-over when stuck.
Pick AI chatbots when: Most of your questions are how-to questions, and bugs are rare or handled elsewhere.

Read Tore vs AI chatbots

Assessed from each product's own documentation and pricing pages, rechecked on 5 August 2026. Products change: if we have one wrong, tell us and we will correct it.

Switching is the easy part.Running it is the point.

Switch from Zendesk or Intercom

Bring your history with you.

Import your conversations from Zendesk or Intercom. Your team picks up where it left off, with every past thread in the shared inbox.

Past conversations come with you
Nobody starts from zero with a returning customer

app.tore.ai/settings/import

Example data

Zendesknorthwind.zendesk.com · connected

Connected

Importing conversation history4,812 threads

History is in your shared inbox4,812 threads · ready to search

Intercomsecond workspace · queued

Queued

The honest version

You could build most of this yourself.

A webhook from your error tracker, a coding agent with repository access, a bot that opens a branch. That is a weekend, and it will fix things. What takes the months is everything that happens after it works once.

One bad deploy throws the same error ten thousand times: grouping and a threshold stop a fix storm
Secrets in replays and logs are stripped before anything is stored or sent to a model
Authentication, billing and migrations escalate to a person instead of getting a proposed change
The customer who reported it is told when the fix ships

What Tore is not: a weekend project you have to keep running. If you enjoy this problem, build it: we did, and it taught us what to build next. If you would rather it were already handled, that is what Tore is.

app.tore.ai/errors

Illustration

TypeError: priceId undefinedapi/checkout/route.ts · after deploy a41c9e2

10,000 events

Grouped by fingerprint1 issue · threshold reached

1 group

1 investigation openednot ten thousand branches

AI budget this month12% used

The right model for every job

Routing that gets better on its own.

Fast models for quick answers, deep reasoning for hard bugs, coding models for fixes. Routing learns from what works across Tore, so you get better results per dollar over time without tuning anything.