AI AGENTS
Undercut Detector that Opens a Linear Response Ticket
Scrapes competitor prices on a schedule, and when a competitor drops below your own catalog price by a configurable threshold.
How it runs
The automated pipeline, trigger to output.
- TriggerSchedule starts the price watch
- ActionCapture competitor prices headlesslyBrowserbase
- ActionJoin against own catalog pricesPostgres
- LogicFire only on undercut past threshold
- ActionAgent drafts response plan and priorityOpenAI
- OutputOpen prioritized Linear ticketLinear
What it does
Turns a competitor undercut into an actionable work item. It captures competitor prices, joins them against your own current catalog prices stored in Postgres, and only acts when someone undercuts you past a set margin. The agent then writes a concrete response plan (match, hold, or bundle) and opens a Linear ticket so the move is owned, not just noticed.
When to use it
Use it when an undercut should trigger a decision and an assignee — not just a Slack message that scrolls away. Best for teams that already run pricing work through Linear.
How it works
- 1A schedule starts the watch.
- 2Browserbase captures each competitor's live price in a headless session.
- 3The flow joins captured prices against your catalog prices from Postgres.
- 4A logic gate fires only when a competitor is below you beyond the threshold.
- 5An OpenAI agent drafts a recommended response and a suggested priority.
- 6A Linear issue is created with the analysis, the price delta, and the recommendation pre-filled.
Set it up
What you configure once, before turning it on.
- 1Connect BrowserbaseHeadless browsers, sessions, replays.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect LinearIssues, projects, cycles, triage.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
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Run this workflow in your colony.
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