AI AGENTS
Daily Competitor Storefront Sweep with Repricing Proposals
Every morning an agent browses your tracked competitor product pages, captures live prices, writes them to Snowflake.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily 6am schedule
- ActionLoad competitor watchlist from SnowflakeSnowflake
- ActionAgent browses each storefront and reads live priceBrowserbase
- ActionAppend timestamped price snapshots to SnowflakeSnowflake
- LogicCompute price gap and flag policy violations
- OutputPost ranked repricing digest to SlackSlack
What it does
Runs a scheduled price-watch over a curated list of competitor product URLs. A browser agent loads each storefront page, reads the live displayed price (handling sale badges and currency), then joins those prices against your own catalog in Snowflake to flag every SKU where your price has drifted out of policy. It ends with a ranked Slack digest so a pricing analyst can act before the workday starts.
When to use it
Use it when you sell against a known set of competitors and need a reliable daily read on their list prices without paying for a scraping vendor or eyeballing pages by hand. Best for catalogs of dozens to a few hundred watched SKUs.
How it works
- 1A 6am schedule fires the run.
- 2The agent pulls the watchlist (competitor URL + your matching SKU) from Snowflake.
- 3Browserbase opens each page and extracts the current price, sale flag, and stock state.
- 4The agent appends a timestamped price snapshot row back into Snowflake.
- 5A logic step compares each captured price to your price and computes the gap and policy violation.
- 6Slack receives a digest grouped by "undercut by competitor" vs "we are cheapest," sorted by margin impact.
Set it up
What you configure once, before turning it on.
- 1Connect SnowflakeWarehouses, queries, shares.
- 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.
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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.