Comparison
What you are probably doing instead
Three honest comparisons: against building it yourself, against a help desk bolted to an error tracker, and against the tools that already cover part of this ground.
The honest version
You could build most of this yourself
And you would get further than people expect. 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 genuinely fix things. We built exactly that before we built this. The demo works on the first try and it feels like magic.
What takes the months is everything that happens after it works once.
An error spike becomes a fix storm
One bad deploy throws the same error ten thousand times. Without grouping by fingerprint and a threshold before pickup, your weekend build opens ten thousand branches and burns the whole AI budget before lunch.
Bug reports carry secrets
Session recordings and network logs contain cookies, tokens, card fragments and personal data. That has to be stripped before it is stored, before it is indexed, and before it reaches a model, not after.
Some code must never be touched automatically
Authentication, billing, migrations, anything near customer data. Those paths need to escalate to a human instead of proposing, and that judgment has to be built in rather than remembered.
The customer is still waiting
A merged pull request does not tell the person who reported it. Closing that loop means knowing who reported what, whether the fix actually shipped or merely merged, and which channel it is safe to reply on.
And it is not a support tool
The queue, the help center, the feedback board, the roadmap, the satisfaction scores. The fix loop is the interesting part; it is not the part your customers touch.
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 this is.
The seam
A help desk on one side, an engineer in the error tracker on the other
Most teams end up with support conversations in one tool and the crash reports in another, joined by a person copying between them. The report says the checkout broke; the error tracker knows exactly which line threw. Nothing joins those two facts automatically, so context gets retyped, the customer gets asked what browser they were on, and the person who reported it never hears the ending.
Your help desk
“Checkout broke when I applied my coupon.”
Knows who, and how they feel about it.
Your error tracker
TypeError: priceId undefined
api/checkout/route.ts
Knows exactly which line, and nothing about who.
Tore is one tool on both sides of that seam. Same conversation, same investigation, same reply.
Where each one stops
Everybody covers part of this
Two of these write code fixes, and both do it well. One waits for a human to file a report; the other has no support side at all. We have not found another tool that runs the whole line, from your error stream to the customer being told.
| Product | 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 |
|---|---|---|---|---|---|---|---|
| ToreSupport platform with the fix loop built in | ● | ● | ● | ● | soon | ● | ● |
| GleapSupport and bug capture, with a code-fix agent | ● | ● | – | ● | ● | ● | ◐ |
| Sentry SeerError tracking with an automated fix agent | – | – | ● | ● | ● | – | – |
| FeaturebaseSupport, feedback and changelog in one | ● | ◐ | – | – | – | ● | ◐ |
| Fin (Intercom)AI support agent, priced per outcome | ● | – | – | – | – | – | – |
| PylonAgentic support built for business customers | ● | – | – | ◐ | – | – | ◐ |
| Freshdesk / ZendeskTraditional help desk with AI added | ● | – | – | – | – | – | – |
| JamBug capture, sent to your tracker | – | ● | – | – | – | – | – |
| CannyFeedback board and roadmap | – | – | – | – | – | ● | ● |
Assessed from each product's own documentation and pricing pages, rechecked on 5 August 2026. Products change, if we have this wrong, tell us and we will correct it.
The part that scales with your success
Most AI support is metered, so the better it works the more it costs
Every one of these charges you again each time the AI resolves something. A good month for your support team is a bigger bill, and nobody can tell you in advance what that bill will be. We priced the other way: a flat monthly price with an allowance included, and you can bring your own AI key instead.
| Tool | Base price | What the AI adds |
|---|---|---|
| Tore | Flat monthly, seats included | No per-resolution charge |
| Intercom | From $29 per seat | $0.99 per resolved outcome |
| Featurebase | From $29 per seat | $0.49 per resolution, up from $0.29 in July |
| Freshdesk | From $19 per agent | $29 per agent for the AI, then $49 per 100 sessions |
| Zendesk | From $19 per agent | Per automated resolution, price not disclosed publicly |
| Sentry | From $26 a month | $40 per contributor for the fix agent, business plan and up |
| Plain | From $35 per seat | No per-resolution charge, internal assistant metered by credits |
| Gleap | From $49 a month | Metered by AI tokens |
Read off each vendor's own published pricing page on 5 August 2026. Pylon does not publish pricing without a demo request, so it is not listed here rather than listed from hearsay. Prices move; if one of these is out of date, tell us and we will fix it.
What this replaces
Four bills, or one
A small SaaS team ends up buying the bug capture, the feedback board, the help desk and the fix-writing add-on separately. These are their published prices.
Prices as published on 4 August 2026
Bug capture with a replay
Jam$14per person / month
Feedback board and roadmap
Canny$79per month
Help desk with AI
Freshdesk$55 + $29per agent / month
AI that writes the fix
Sentry Seer$40per contributor / month
All four, and the loop between them
Tore Growth
$149per month · 15 seats