AI AGENTS
Competitor Promo and Sale Detection Tracker
An agent watches competitor pages for new sale badges, coupon banners, and strike-through pricing, then logs each detected promotion to an Airtable tracker and notifies marketing.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled promo sweep
- ActionRead competitor page list from AirtableAirtable
- ActionAgent detects sale badges and discount depthBrowserbase
- LogicDiff against last state to find new promotions
- ActionLog new promos to Airtable trackerAirtable
- OutputNotify marketing in SlackSlack
What it does
Focuses on promotional signals rather than raw list price. The agent visits each competitor page and looks specifically for sale indicators: strike-through original prices, percent-off badges, coupon banners, and bundle offers. When it finds a promo that wasn't active on the last sweep, it records the promotion details in an Airtable base and alerts the marketing channel so the team can decide whether to respond.
When to use it
Use it when competitive promotions, not steady-state prices, drive your reactions, for example during peak retail seasons when rivals run flash sales you need to match or counter quickly.
How it works
- 1A schedule starts the sweep.
- 2The agent reads the competitor page list from Airtable.
- 3Browserbase loads each page and extracts any active promo signals and discount depth.
- 4A logic step diffs today's promos against the last recorded state to find newly launched offers.
- 5New promotions are written as rows in the Airtable tracker with depth, type, and detected date.
- 6Slack notifies marketing of fresh competitor promotions.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect BrowserbaseHeadless browsers, sessions, replays.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More AI Agents workflows
Custom Metrics Cardinality Spike Pager
A webhook from a Datadog monitor fires when custom-metric cardinality jumps; an agent pinpoints the offending metric and tag, estimates the added cost.
Sentry-to-Confluence Runbook Updater
When a Sentry issue is resolved, the agent finds the matching Confluence runbook page and proposes an inline update with the verified fix.
Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.