Sensei vs. Claude

Claude reasons in a window. Sensei reasons against your numbers every Monday.

The reasoning is only as good as what it's grounded in. Sensei connects to your revenue, your traffic, your ship log, and your cohort — then writes a dated reading against them, every week.

Where they split

Three honest differences. Not one of them is a feature.

  • What grounds the reasoning

    Claude

    Whatever fits in the context of the current chat. You curate the evidence each time.

    Sensei

    Stripe revenue, Plausible sessions, Vercel deploys, your competitor set — stitched in by OAuth, cited inline.

  • Whose situation it knows

    Claude

    The session you're in. A general assistant thinking carefully about what you shared.

    Sensei

    A cohort of founders at your stage, your ACV, your motion. The reading frames your numbers against theirs.

  • What happens after the read

    Claude

    You close the tab. The reasoning evaporates unless you remember to save it.

    Sensei

    A timestamped reading with a score, a verdict, and a move. The next week's reading cites the last one.

The stack

Four things stacked.

Any AI can be brilliant when you bring the evidence. These four are what change when the evidence comes to you.

Live integrations

Stripe, Plausible, Vercel connect by OAuth. The reading cites your actual revenue, traffic, and ship log — inline, by number.

Pushed cadence

Monday 7am local, every week. The reading lands in the inbox before the first meeting. The ritual is the product.

Cohort aggregation

Thresholds and framing come from a cohort of founders at your stage, your ACV, your motion. Not a global average.

Proactive scraping

A tracked rival set scanned every week. Sensei names who moved and what it means for your lane, without being asked.

Any one of these is nice. Stacked, it’s the product.

The close

Still chatting with Claude?

Paste your URL. Sensei reads. You decide.