Compare · Tore vs Plain

Plain meets customers in their channels.Tore also fixes their bugs.

Plain is support built for B2B teams: shared Slack and Teams channels, email and chat in one place, AI agents and an API for almost everything. Tore answers too, then takes the bug behind a thread to a fix for your engineer to approve.

Join the waitlist See the head-to-head

Tore opens soon. Join the waitlist and we'll email you the day you can start.

Same bug, two ways · Northwind webhooks

Example data

With PlainB2B support + AI agents

Tomas · Northwind · SlackOur webhook retries are firing twice for every failed event.

AI agentThanks, Tomas. I am bringing in the team for this one.

Linear issue created from the thread

Lena · SupportRaised with engineering. I will follow up when it closes.

Thread moves to Close the Loop when the issue completesthen you follow up

With Toresupport + engineering, one thread

Tomas · Northwind · SlackOur webhook retries are firing twice for every failed event.

Same error seen in your error tracker

Tore AIThanks, Tomas. I can see the duplicate retries on our side. Looking into it now.

Root cause foundwebhooks/retry.ts:118 · job queued twice on timeout

16:04

Fix written, tests pass+4 −3 · 25 tests

16:10

Pull request preppedwaiting for Alex, your engineer

16:11

Approved by Alex · Tomas told it is fixedsame thread

Where Plain is strong,and when to pick it instead.

Plain is built for B2B teams that support customers in shared channels and want to shape support with code. If that is you, it is a strong pick.

Every B2B channel in one place

Slack, Microsoft Teams, Discord, email, chat and a customer portal, with a help center and in-app forms.

AI agents beside your team

Sidekick helps your team with full customer context, and a Customer Agent triages and investigates from your knowledge base.

API-first, no-code or all-code

Most actions can be done through the API, and workflows can call your own services and route with AI.

Linked to Linear

Create or link a Linear issue from a thread. When it is completed, the thread moves to Close the Loop so you can follow up.

Pick Plain when

You support business customers in shared channels and want to build on an API, with code fixes left to your engineers.

Your customers reach you in shared Slack, Teams or Discord channels.
You want to shape support with code, through an API and workflows.
You want to bring your own AI agents next to your team.
Your engineers prefer to take bugs from Linear and fix them themselves.

Tore vs Plain,across the support to fix loop.

Both answer business customers with AI and keep humans close. The difference starts when the thread turns out to be a bug in your code.

Tore

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

Plain

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

Tore compared with Plain, step by step
Step	Plain	Tore
Answers customers	A Customer Agent works from your knowledge base, across Slack, Teams, email, chat and more.	Answers from your help center with the article cited, across email, chat widget and Slack.
Hands over to a person	Run AI agents alongside human teammates, with Sidekick helping them.	Hands over with the full conversation when it is not confident. Anyone can take over at any moment.
Bug capturereplay, console, network	Not part of it	Reports from the chat widget arrive with replay, console and network attached. Bug capture
Investigation in your code	Not part of it	Reads the repository you connect and finds the root cause, down to the file and line.
Fix and tests	Not part of it	Writes the fix and runs your tests. Your engineer can request changes in plain words.
Pull request for approval	Not part of it	Preps the pull request. By default it waits for your engineer's approval.
Customers told it is fixed	When a linked Linear issue completes, the thread moves to Close the Loop for you to follow up.	Everyone who reported it is told automatically when the fix is live.
Model choice	You can connect your own models or third-party agents.	The right model for each job, from Claude, Codex, Gemini, Grok and more. You can set it per task.
Proactive errors	Not part of it	Errors from your error tracker are grouped by fingerprint and can open an investigation before anyone writes in.

Based on Plain public pages (plain.com), checked 2026-10-30. Products change: if we have something wrong, tell us and we will correct it. For plans and pricing, see Tore pricing.

Desks answer but don't fix.Coding agents fix but never talk.

Most teams keep support conversations in one tool and the code in another, joined by a person copying between them. The thread says retries fire twice; the code knows exactly which line did it.

Support desk

Talks to the customer

Plain, and support platforms like it. Great in shared channels, then the bug moves to the tracker.

Answers and hands over
Reads your code
Writes the fix

Tore

One thread, both sides

The conversation, the investigation and the reply live together, so nothing is retyped.

Answers and hands over
Reads your code
Writes the fix

Coding agent

Works in your code

AI engineers that start from an issue. Strong at the fix, but the customer never hears from them.

Answers and hands over
Reads your code
Writes the fix

The engineering half

From the report to a fix, in your code.

Tore reads the repository you connect, finds the root cause down to the file and line, writes the fix and runs your tests. By default it waits for your engineer's approval.

Root cause with the file, line and the reason
A fix with your tests run, and a plain-words summary
Your engineer can request changes in plain words

app.tore.ai/northwind/investigations

Example data

Report from TomasNorthwind · replay attached

New

Root cause foundwebhooks/retry.ts:118 · job queued twice on timeout

Fix written, tests pass+4 −3 · 25 tests

Pull request preppedwaiting for Alex, your engineer

Questions people askbefore switching.

Is Plain better for B2B support in Slack?

For teams whose customers live in shared Slack, Teams or Discord channels, and who want to build on an API, Plain is made for exactly that. Tore answers in Slack too. Where it differs is what happens when the thread turns out to be a bug.

Plain links threads to Linear. Is that not enough?

It keeps support and engineering in step, and prompts you to follow up when the issue closes. An engineer still has to reproduce the bug, find the cause and write the fix. Tore does those steps, and by default waits for your engineer to approve the change.

Does Tore change our code without asking?

By default it waits for your engineer's approval. Your engineer can request changes in plain words, and Tore revises the fix and re-runs the tests. You set how much it does on its own, per repository, in AI controls.

Which AI models does Tore use?

The right model for each job: a fast model for quick answers, deep reasoning for root causes, a coding model for fixes. You can let Tore choose or set it per task. During early access, you can also bring your own AI keys.

How does the price compare?

Plans, what is included and how the AI is billed are on the pricing page.

Keep comparing.

Meet them in Slack.Fix the bug too.

Tore answers your business customers where they are and takes the bugs behind their threads all the way to a fix for your engineer to approve.