For the people who answer,and the people who fix.
Founder, support lead, engineer or agency: Tore takes the heavy lifting of support and development off your plate, and hands you only the part that needs you.
Tore opens soon. Join the waitlist and we'll email you the day you can start.
Example: one window split in two. On the left, the people who answer: Tore AI answers Priya's export question from the help center, then captures her bug report with a replay, console and network log. The evidence crosses to the right, the people who fix: Tore finds the root cause in paginate.ts line 57, writes a one-line fix with 48 passing tests, waits for Alex's approval, prepares the pull request and deploys. Then Priya is told the fix is live.
Pick your seat.See your day with Tore.
Choose who you are. Watch what Tore handles across an ordinary day, and what is left for you.
What you stop doing
- Answering the same questions every weekAnswering the same questions every week
- Replying to prospects the next morningReplying to prospects the next morning
- Remembering to tell people a bug is fixedRemembering to tell people a bug is fixed
- Logging in to a separate tool per productLogging in to a separate tool per product
What Tore does for you
- Answered a prospect's question about planscited your pricing article, while you slept
- Resolved four repeat questionsfrom your help center, article cited each time
- Caught a bug report and found the causereplay, console, network · export/paginate.ts:57
- Wrote the fix and ran your testspull request prepared
Left for you: approve one fixby default, a fix waits for your approval- Told the customer it is fixednobody had to remember
What you stop doing
- Sorting the shared inbox by handSorting the shared inbox by hand
- Asking "which plan are you on?"Asking "which plan are you on?"
- Finding out a promise broke in the monthly reportFinding out a promise broke in the monthly report
- Guessing whether the AI is any goodGuessing whether the AI is any good
What Tore does for you
- Sorted the overnight queuerouting rules: product, tag, priority
- Resolved the repeat questionshanded the rest over with the full conversation
- Flagged a response target before it brokeescalated to Dan · 12 min left
- Opened a chat already knowing the customerPriya R. · signed in · Growth plan
Left for you: two conversations that need a personhanded over with context, nothing to re-ask- Showed who did the work todayAI resolved · AI-assisted · person
What you stop doing
- Being the reproduction stepBeing the reproduction step
- Asking "which browser were you on?"Asking "which browser were you on?"
- Copying stack traces between tabsCopying stack traces between tabs
- Writing the regression test afterwardsWriting the regression test afterwards
What Tore does for you
- Picked up a new Sentry error on its own38 events, one fingerprint, one investigation
- Read beacon/app and found the causepaginate.ts:57 · shows what it looked at
- Wrote the fix and a regression test48 tests passed · reviewed by a second model
- Prepared the pull request#1294 · checks passed
Left for you: review and approverisky areas like auth and billing always come to you- Told the three people who reported itsupport never had to chase you
What you stop doing
- Keeping a helpdesk login per clientKeeping a helpdesk login per client
- Worrying one client can see anotherWorrying one client can see another
- Rebranding a portal for every clientRebranding a portal for every client
- Explaining a surprise AI billExplaining a surprise AI bill
What Tore does for you
- Opened Acme Corp's queue from your loginone account, every client inside it
- Answered from Acme's own help centerin Acme's widget, in Acme's brand
- Switched to Beacon Data's two productseach with its own inbox, repo and Sentry project
- Served Northwind's portal on their domainhelp.northwind.example · their brand, not yours
Left for you: check each client's AI usageusage report per client, plan limits visible- Kept every client's data apart all dayseparated by the database itself
Four seats.One platform under all of them.
Each person gets the view they need, and the work moves between them without anyone retyping it.
Founders
Run support properly without hiring for it yet.
Support lands on whoever is free, and usually that is you. Tore answers the questions that never needed you, including prospects asking about plans at 2am, and what is left arrives with enough context to answer in a minute.
- Pre-sales questions answered at any hour, not the next morning
- Repeat questions resolved from your help center, with the article cited
- Every product in one account, staff scoped to the products they own
- Customers told when their fix is live, without you remembering

help center · Plans compared
Support leads
The queue is sorted before you open it.
You already know which questions repeat. Rules route every conversation to the right person, targets warn you before a promise breaks, and every reply says whether the AI, the AI with help, or a person resolved it.
- Routing on channel, product, tag, priority or keyword
- Response targets and business hours, escalated before a breach
- The widget already knows the signed-in customer and their plan
- Resolution attributed: AI resolved, AI-assisted, or a person

Alex2h left

Dan12m left
target close: escalated to DanEngineers
Bugs arrive reproduced. Fixes arrive tested.
The cost was never the fix, it was the context switch and four messages working out what happened. Reports come with the evidence attached, errors start their own investigation, and the change arrives as a pull request you review like any other.
- Console, network, browser and OS attached to every report
- Sentry errors open an investigation before anyone writes in
- It reads your live repository, down to the file and line
- Six risk classes, like auth, billing and migrations, always go to a person

Agencies
Every client in one account. Nothing leaking.
One login holds every client, and each client holds their own products, help center, widget and portal. Clients never see each other, and that separation is enforced by the database rather than by code remembering to filter.
- Agency, then client, then product, nested for real
- Your staff scoped to the clients and products they work on
- Each client's portal on their own domain, in their own brand
- AI usage reported per client, with plan limits visible
Keep exploring.
Whichever seat you're in,Tore takes the heavy lifting.
Start with the part that hurts most. Everything else is already in the same platform when you need it.