Instant answers, any hour
Most how-to questions are answered on the spot from your help center, without anyone waiting for office hours.
Compare · Tore vs AI chatbots
Chatbots answer questions.Tore also fixes the bug behind them.
A good support chatbot is genuinely useful: instant answers from your docs, at any hour, with a hand-over when it is stuck. But it cannot see the bug, read your code or fix it. Tore answers too, then takes the bug to a fix for your engineer to approve.
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Same bug, two ways · Beacon Data sign-in
Example dataWith an AI chatbotanswers from your docs
Sarah · Beacon Data · chat widgetThe magic sign-in link takes me back to the login page.
AI agentSorry about that, Sarah. Try clearing your cookies and requesting a new link.
Sarah · Beacon Data · chat widgetSame thing again.
AI agentI will pass this to our team.
Next step: a person reads the chat and files a bugoutside this thread
With Toresupport + engineering, one thread
Sarah · Beacon Data · chat widgetThe magic sign-in link takes me back to the login page.
Tore AIThanks, Sarah. I can see the redirect loop on our side. Looking into it now.
Root cause foundauth/callback.ts:52 · cookie set on the wrong domain
Fix written, tests pass+1 −1 · 12 tests
Pull request preppedwaiting for Alex, your engineer
Approved by Alex · Sarah told it is fixedsame thread
Where AI chatbots are strong,and when to pick one instead.
A support chatbot earns its place at the front of the queue. If most of what customers ask is already answered in your docs, a good one takes real load off your team.
Grounded in your content
Good chatbots answer from your own articles and docs, and many cite the article they used.
A hand-over when stuck
Most pass the conversation to a person when they cannot help, with the chat so far attached.
Simple to start
Point it at your help center and add it to your site. Many work on top of the help desk you already have.
Pick AI chatbots when
Most of your questions are how-to questions, and bugs are rare or handled elsewhere.
- Your questions are mostly about how to use the product.
- Your help center is complete and kept up to date.
- Bugs are rare, or engineering already has a fast way to take them.
- You want to keep the help desk you have and add AI answers on top.
Tore vs AI chatbots,across the support to fix loop.
Both answer from your help center and hand over to a person. The difference is when the question turns out to be a bug: a chatbot cannot see it, read your code or fix it.
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
AI chatbots
- 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
| Step | AI chatbots | Tore |
|---|---|---|
| Answers customers | Answers from your help center and docs, at any hour. | Answers from your help center with the article cited, across email, chat widget and Slack. |
| Hands over to a person | Most hand over to a person when they cannot help. | 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 | Not part of it | Everyone who reported it is told automatically when the fix is live. |
| Model choice | Varies by product. | 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 how general support chatbots describe themselves on their own product pages, checked 2026-10-30. No single vendor is described here; good ones vary. 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.
A chatbot sits on the support side. It can answer what is written down, but when something is broken the answer is not in the docs: it is in your code.
Support desk
Talks to the customer
Help desks, and the AI chatbots on top of them. Great at the conversation, then the bug leaves the thread.
- 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 evidence comes with it
No more asking for a screenshot.
When a customer reports a bug from the chat widget, Tore attaches what your engineer needs: the replay, the console and the network calls, with secrets stripped before upload.
- Pin an element, mark up a screenshot or record the screen
- The last 30 seconds of the session, replayed
- Repeat reports grouped into one ticket
app.tore.ai/beacon-data/reports
Example dataSarah reported a bugchat widget · sign-in page
NewSession replay attachedlast 30 seconds before the report
Console and network attachedGET /auth/callback · 302 loop · secrets stripped
Investigation openedsimilar reports grouped into this ticket
Questions people askbefore switching.
Is a chatbot enough for our support?
If most questions are how-to questions and your help center is complete, a good chatbot handles a lot of them well. When a question is really a bug, it has nothing to look at: no replay, no logs and no access to your code.
Does Tore answer like a chatbot too?
Yes. Tore answers from your help center with the article cited, across email, the chat widget and Slack, and hands over with the full conversation when it is not confident.
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.
How does the price compare?
Plans, what is included and how the AI is billed are on the pricing page.
Keep comparing.
Answer the question.Fix the bug behind it.
Tore answers your customers and, when it is a bug, takes it all the way to a fix for your engineer to approve.