Compounder self-funding revenue agent

Turn the same traffic into more sales.

Same visitors in. The agent finds where revenue leaks, chooses the next page test, gets an independent model to judge the result, and shows how the next loop funds itself.

Hermes updates the playbook Nemotron judges what is real NemoClaw blocks unsafe spend Stripe proves the test budget
See the proof
Traffic held constant
1,000 visitors
Agent spend
$25 test-mode
Net gain, same traffic
+$613

Agent run

Press Run the agent to watch the loop: diagnose the leak, choose the next test, approve the spend, and judge the result.

    Same 1,000 visitors

    No extra traffic was bought. This sample case shows more value from the visitors already arriving.

    Original page 82 leads

    8 buyers

    $232 revenue

    Agent's test 158 leads

    30 buyers

    $870 revenue

    Net gain +$613

    $123 funds the next loop.

    Net means $870 gross revenue minus the $25 test-mode spend approved through NemoClaw. The funnel numbers are a sample case. The Stripe proof is a real test-mode object, not a real customer charge.

    How leads went up

    Same visitors. A clearer reason to say yes.

    The first page asked people to trust a broad promise. The agent's test chose one sharper page promise, one small action, and follow-up that matched the promise. In this sample case, visitor-to-lead moves from 8.2% to 15.8% and lead-to-buyer moves from 9.8% to 19.0%.

    Before 8.2%

    82 of 1,000 visitors became leads.

    Change Two levers

    158 leads × 19.0% = 30 buyers. 30 buyers × $29 = $870 gross.

    After 15.8%

    158 of 1,000 visitors became leads.

    Why this stack

    Hermes Why Hermes?

    The loop needs memory. Hermes learns from experience, turns good moves into skills, and reuses them in the next test.

    NVIDIA Nemotron Why NVIDIA?

    Basic math can spot a simple leak. Nemotron matters when the evidence gets messy: late buyers, emails, cohorts, and competing signals.

    NemoClaw Why NemoClaw?

    The agent should not have unlimited power. NemoClaw adds outside rules before actions: spend limits, test mode, data limits, approval gates.

    Stripe Why Stripe?

    Sales need receipts. Stripe records the money step, and test mode lets judges verify the payment path without moving real money.

    What happened, step by step

    1

    The leak. 1,000 people visited, but only 82 left their info.

    2

    The fix. Hermes saved the lesson and chose one page test: a sharper promise, one call to action, and follow-up that matched the promise.

    Decision trace
    1. Rewrite the page promise and CTA — selected because Nemotron judged visitor-to-lead the biggest leak.
    2. Rewrite follow-up — held, buyer evidence was not the first leak.
    3. Change pricing — held, the page was losing people earlier.
    3

    The safety check. Before the agent could spend, NemoClaw blocked the action and waited for human approval.

    4

    The learning. The agent saved the lesson: broad AI promises lost visitors. The next version should promise one clear outcome, a revenue-leak map, so more visitors know why to leave their email.

    5

    The proof. Stripe creates a real test-mode PaymentIntent a judge can verify in the dashboard, so the budget step is real, not drawn.

    Learning ledger

    Compounder remembers what it tried.

    Every run saves the observation, hypothesis, experiment, result, learning, and next action. That history becomes the growth memory.

    Current goal
    More leads from the same traffic
    Active version
    V2 revenue-leak page
    Next test
    Stronger CTA
    Latest learning Specific beats broad.

    Revenue-specific messaging performed better than a general AI promise, so the next test should keep the offer tied to one painful business outcome.

    Judge test mode

    Test funnel logic.

    Enter simple funnel numbers. Compounder finds the leak, chooses the next experiment, proves the test budget in Stripe test mode, and saves the learning.

    Judge proof

    What actually ran.

    The funnel is a sample case. This receipt proves the sponsor tools ran.

    NVIDIA Called Nemotron.

    It reviewed the funnel evidence and decided which pattern to trust when buyers arrive later and follow-up changes the result.

    Stripe Created a test receipt.

    This proves the payment connection works without charging anyone.

    Hermes Saved the learning.

    It turns what the last loop learned into one reusable next move: page promise plus follow-up test.

    NemoClaw Checked the rules.

    It gives the agent outside rules: what it can spend, send, access, or block before anything happens.