
The export stops at 500 rows and I have 912 contacts.
ExportRowMismatch: 912 expected, 500 sentGET /api/export 200 · 214 msTore resolves customer conversations, answers pre-sales questions, catches bugs, writes the fix and preps the pull request for your approval. It does the heavy lifting of support and development, knows when to hand over, and lets your team step in anytime.
What Tore reads

The export stops at 500 rows and I have 912 contacts.
ExportRowMismatch: 912 expected, 500 sentGET /api/export 200 · 214 msThanks Priya, I can see it in your replay. I’m looking into it now and will update you right here.
Fixed. Your export now includes all 912 contacts. Could you try it once more?

All 912 are there. Thank you!
Her report matches a Sentry error that started this morning.
Rows per export have been flat at 500 since the 09:05 deploy.
Root cause: line 57 still reads cursor, but the API now returns nextCursor, so paging stops after the first 500.
last commit a3f9c1e · refactor paging · 09:02Fix drafted and tested.
Pull request ready. Alex, it needs your approval.
Waiting for Alex to approveApproved by AlexThe same export bug from above, all the way through. Scroll, and the product window follows along.
The Sentry spike, three customer bug captures and the Grafana latency jump all point at report export. Tore links them into a single issue, so nobody chases the same bug three times.
Tore reads the repository you connected and finds the loop that resets the page cursor. It names the file, the line and the commit that introduced it in the 09:00 deploy.
It writes the smallest change that solves the problem, adds a test that reproduces the bug, and runs your suite. Everything passes before anyone is asked to look.
The summary, the evidence and the test results are in one pull request. Your engineer reads it, approves it or sends it back.
Once approved it ships through your normal pipeline. Tore watches Sentry and Grafana afterwards and confirms the errors stopped and latency is back to normal.
Priya, Alex and the third reporter each get a reply in their own conversation saying it is fixed. Nobody has to remember who asked.
Every resolution is attributed to AI, AI-assisted, a person or self-serve, so you can see how much of the load Tore carries.
Illustration with example data.
Each agent does one job on the right model, then hands the ticket on with everything it found.
Example: six AI agents work in parallel. One bug report from Priya at Beacon Data passes from the support agent to triage, investigation, the engineer, review and release, and is deployed with Priya told it is fixed.
Tore routes each task to the model that does it best. A quick answer gets a fast model, a hard bug gets deep reasoning, the fix gets a coding model, and a second model checks the work before your engineer sees it.
Bring your own AI keys during early access. Early teams can plug in their own Claude, OpenAI, Grok or Gemini keys while Tore still routes every task.
Two of them happen where your support team works, two where your engineers do. Pick one and it plays.
The AI replies from your own help center and cites the article it used. When it is not confident, it hands over instead of guessing.
A real bug comes in with the screen recording, the console output and the network trail attached. Nobody has to ask which browser they were on.
The investigation reads the repository you connect: the stack frame, the commit that touched those lines, the files around it.
The AI proposes a change with the checks it ran. Your engineer approves or rejects it. Anything near authentication, billing or the database escalates instead.
I can't get into my account, it keeps saying the link expired.
Reset links last a short while for security. Request a fresh one from the sign-in page and open it on the same device.
help center · Resetting your passwordCan you move our plan to annual and merge two workspaces?
Blank white screen when I log in on my iPhone.
3 similar reports, all iOS Safari 17. Promoted to ticket TCK-479.
The new focus trap reads a property older Safari does not support, so the form throws before it renders.
Connect your error tracker. Errors group by fingerprint, and a group that crosses your threshold opens an investigation on its own, then prepares a change that waits for your engineer.
The conversation, the evidence, the investigation and the reply all hang off one ticket, so nobody pastes anything between tools.




Email and the widget land in one inbox, with live updates so two people never answer the same thing twice.
Not sure enough to answer. Handed to Maya with the conversation so far.
Below your threshold, it routes to a person rather than inventing an answer.



Repeating reports are detected and promoted to one ticket for engineering.
Everything an engineer would ask for in the next four replies is already attached.
The people who reported it are told when it is fixed, once a person approves the wording.
Every resolution is attributed to the AI, AI-assisted, a person, or self-serve.
10,000 identical errors from one bad deploy are one group, and at most one investigation.
Errors group by fingerprint before anything acts on them. You set budgets, an ignore list and a kill switch.
The same AI team runs the parts around the queue too, from the first pre-sales question to the customer who almost left.
It learns from your code, help center and past conversations, so it knows the product better than a new hire from day one.
Tore AIPlans, features, fit. Prospects get an answer at 2am instead of waiting for someone in sales.
Who it's forThe most-requested feature arrives as a pull request, ready for your engineer to approve.
Feature requestsOne board instead of forty scattered threads, and everyone who asked hears when it ships.
RoadmapCustomers check their own requests and your system status instead of emailing to ask.
Customer portalKnow an endpoint or a scheduled job has stopped before a customer tells you.
Status pageEach organization's data is kept apart by the database itself, with an audit log of who did what.
SecuritySpot accounts drifting away while you can still help, and make one save offer when someone cancels.
InsightsSession replay, console and network, without asking the customer.
AI, AI-assisted, a person, or self-serve.
The conversation, the evidence and the investigation, on one record.
Join the waitlist and we'll email you the day you can start.
| 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 |
| An investigation that reads your repository | not there | Yes |
| A proposed change for your engineer to approve | not there | Yes |
| Error tracker events grouped and investigated | separate tool | Yes |
| Reporters told when the fix lands | if someone remembers | Yes |
| Pull request opened on its own branch, for you to approve | not there | Yes |
Added as beta customers come on board. Until then the frame stays empty rather than borrowed.
Connect your inbox, your help center and a repository. By default, the change waits for your engineer.