Log parsing and incident detection
Parses production logs and uses that information to identify incidents that may need attention.
CanyonTechs AI is a web app for LLM-powered auto-remediation that parses production logs, detects incidents, and ships fixes as signed pull requests. The signup flow supports Individual and Company accounts and shows Free and Pro plans.
CanyonTechs AI is a web app for LLM-powered auto-remediation. Its stated purpose is to parse production logs, detect incidents, and ship fixes as signed pull requests.
The visible signup page shows a workspace setup flow for either an Individual or Company account, along with a chat-assisted path for preparing signup. It also exposes plan selection directly in the flow, including a Free plan and a Pro plan.
Parses production logs and uses that information to identify incidents that may need attention.
Prepares fixes as signed pull requests so remediation is delivered in a reviewable form.
Lets users begin signup by talking to the assistant in chat and then moving into a prepared signup flow.
Supports a workspace-based signup flow rather than a single bare account form.
Offers plan selection during signup, with limits tied to repository count and fixes per week.
A developer or operator can use the product to turn production log output into a proposed fix instead of manually triaging every issue from scratch.
Teams that want remediation changes packaged for review can use the signed pull request output as a structured handoff to their repository workflow.
An individual founder or small team can create a workspace, choose a plan, and start with the free tier before moving to a paid plan if they need more repositories or fixes.
Someone who prefers a guided start can open chat, describe what they want, and use the Prepare signup flow to move from conversation into account creation.
The signup page shows a choice between Individual and Company accounts, but it does not explain any difference in behavior beyond that selection.
The visible page text says you can sign up in your own words by opening the chat bubble and using “Prepare signup” from chat, but it does not describe the full setup sequence.
The signup flow shown on the page collects first name, last name, email, and password, then asks the user to choose a plan before creating the workspace.
The page shows a Free plan with 3 repositories and 5 fixes per week, and a Pro plan priced at $25.00 per month with 10 repositories and 100 fixes per week.
The source text does not provide setup details for supported log sources, version control providers, or other integrations.
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