How do AI Employees catch what competitors shipped overnight?
A competitor watch AI Employee that checks the sites, changelogs, and pricing pages you track every day, diffs them against the last run, filters out cosmetic edits, and posts a short summary of what actually changed to Slack.
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Keeping up with competitors is a standing task with no natural owner. The information is public, but it's spread across pages that change on no schedule, and most days nothing moves, so a person checking manually spends most of their time confirming that nothing happened. The workarounds thin out. A page change alerting tool fires on every edit, including cosmetic ones, and buries the real signal in noise. A shared doc of 'things to check' depends on someone remembering to check it. The task needs to run daily, compare against what it saw last time, and only surface what's worth reading.
The competitor watch AI Employee runs every day inside your own environment with web access. It fetches the competitor pages you track, compares them against the previous run's stored snapshot, filters out cosmetic edits, and writes a short summary of what changed to Slack: a pricing move, a new feature, a rewritten page. On a quiet day it says so briefly. It has no access to internal systems and takes no action beyond posting.
See exactly how the work gets done.
Runs on a daily schedule
A scheduled run fires once a day inside your own environment with web access. One run, one isolated session, torn down when it's done.
Carries the watch list and last run snapshot
The list of competitors, the specific pages to check, and what counts as a meaningful change live as skills and memory. Each run also reads the previous run's snapshot so it can diff against it rather than reporting the same state again. You update the list as the market shifts.
Fetches the web and posts to Slack
It fetches the sites, changelogs, and pricing pages on the watch list, diffs today's content against the stored snapshot to find what actually changed, and posts a short summary to one Slack channel, or nothing when nothing moved. Any credential it needs stays in memory, never exposed to the model.
Diffs, then filters
It compares each page against yesterday's snapshot and drops cosmetic edits, surfacing only the meaningful moves: a pricing tier that changed, a feature that shipped, a rewritten homepage.
Reports, or stays quiet
A run posts what changed as one message, or briefly notes a quiet day. The team reads one message instead of visiting a dozen sites.
Runs in your environment
Each run is isolated inside your own infrastructure, and only the Slack summary it's explicitly allowed to send leaves it.
Read and post only
It only reads public pages and writes to one Slack channel. It has no access to internal systems and takes no action beyond posting.
Anything beyond posting waits for a signature
Its only external action is posting a summary; anything beyond that scope pauses for a named human to approve.
Credentials stay protected
Any credential it needs connects with permissions you set, stays in memory, never written to disk, never exposed to the model or the logs.
You own every rule
The watch list, the pages to check, and the definition of a meaningful change are yours, versioned and changed on your terms, not in a vendor dashboard.
The team learns about a competitor's pricing move or feature launch the morning after it happens rather than whenever someone next looks. Because each run diffs against the last, the channel stays quiet on quiet days and speaks up only when something actually changed.
Daily
The market is checked without anyone remembering to
Diff only
Cosmetic edits filtered out, real changes surfaced
One message
A summary instead of a dozen open tabs
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
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