What it does
Competitor Teardown solves a job nobody owns: knowing what your competitors actually did this week, so a customer is never the one to tell you. You supply the snapshot — for each competitor, their pricing model and whether it changed, new feature headlines, job-posting volume, G2 or Capterra rating movement, and changelog entries. The agent scores all five signals against a fixed threshold table and writes the weekly digest, naming the impact for you and one recommended action per finding. Gathering competitor data is tedious but tractable. The part that decays is deciding which of forty small changes actually matters, and saying so the same way every week rather than according to whoever wrote the update. That consistency is what this agent is for: the same input always produces the same severity, because the scoring is deterministic and the thresholds are fixed and inspectable. Job-posting volume is worth calling out as a signal. It is a leading indicator — a competitor staffing up on ML engineers tells you where they are investing months before the feature ships, and it is the signal teams most often ignore because it does not look like product news. Each signal is its own tool. `analyze_pricing` answers the pricing question alone when that is all you care about this week. `analyze_hiring` gives you the investment read. `run_full` is the orchestrated path that scores everything and writes the digest. The language model narrates the impact and the action; it never invents a number, a competitor or a change. Without a model configured it falls back to a deterministic template, so the digest always arrives. There are no connectors and no credentials — nothing is scraped and no third-party API is called. Delivering the digest to Slack is left to your client, through its own Slack connection rather than a credential this agent holds. Built for product managers, product marketers and strategy teams who want competitor tracking to stop depending on whoever happened to notice.
Example prompts
- Score this week's competitor snapshots and write the digest
- Which of these competitor moves actually matter to us?
- Did any competitor change their pricing model this period?