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The ecosystem
The name is the architecture. One loop turns a URL into a scored funnel, a priced roadmap and shipped tests. A second loop takes what those tests proved and feeds it back, so the confidence behind the next roadmap is grounded in more evidence than the last one. Same engine, both directions.
01 The delivery loop
Five stages, in order, every engagement. The machine does the vigilance; the strategist does the deciding. Nothing customer-facing ships without your approval.
A store URL is all the engine needs to start. It builds an isolated workspace, scans the funnel across desktop and mobile, and verifies every pixel in a real browser.
Each step of the exact conversion path is scored 1–10 against role-specific checks, with every deduction shown. Breaks between steps — tracking drops, offer discontinuity, score cliffs — surface on their own.
The machine stops at evidence. A strategist reads the output, decides what it means for this brand’s margins and catalog, and writes the narrative the numbers cannot.
Findings compile into an ICE-scored, $-ranked backlog and a designed audit. Approved items become tests with pre-registered metrics, guardrails and a decision rule set before launch.
Every test is called by the rule agreed up front and written into the learning library — wins and losses alike. A loss that closes off a hypothesis is worth recording precisely because it is.
Stage 05 is not the end of the line — it is the input to stage 02 on the next pass, and to every other engagement's stage 02 after that.
02 The learning loop
A single engagement produces results. A library of them produces priors. This is the part that compounds — and the part a new competitor cannot shortcut, because it is made of evidence that took real tests and real time to earn.
The roadmap is not written once. Every called result re-scores what is left in the backlog, so the sequence reorders itself around what your funnel has actually proven — rather than around what looked promising in week one.
The effect: the programme stops resetting every quarter and starts building on itself.
Patterns that hold across brands raise the confidence score on comparable hypotheses elsewhere. Patterns that fail lower it. Client work is never shared between accounts — what travels is the pattern, anonymized, never the data.
The effect: a new engagement starts from a calibrated prior instead of a blank page.
03 The division of labour
The split is deliberate, and it is where the leverage comes from. Anything that rewards never getting bored is automated. Anything that rewards knowing your business is not.
04 The stack beneath it
The same engine produces the sample audit you can open right now, and runs behind every engagement on the platform.
Enter the loop
The audit is the entry point to both loops — your leak map, your roadmap, and the first tests the agents would run. It stands alone if you never go further.