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Completions

Case study

A health endpoint that told the truth about the funnel

Every form rendered and every page converted, and nothing was being kept. Nobody could see that until the system reported on itself.

capture surfaces walked end to end in a browser
4capture surfaces walked end to end in a browser
endpoint that reports what is actually wired
1endpoint that reports what is actually wired

Figures measured 2026-10-12.

The problem

A lead funnel can be correct in code and broken in configuration. The opt-in band, three forms, and a quiz all rendered and submitted, but whether a submission was stored depended on environment settings only visible inside a hosting dashboard.

The booking button said "Book a call" while it embedded a calendar handle that returned 404.

What was built

Built a health endpoint that reports, in one JSON object, which parts of the funnel are actually connected: lead storage, email, booking, payments, analytics. It reports configuration truth, never secrets.

Changed the site so that copy follows configuration: when the calendar handle is known dead, every "book" becomes "request", because that is what the form actually does.

Drove all four capture surfaces in a real browser against a live webhook and checked the payloads field by field.

What changed

The endpoint surfaced the single most important fact about the site: submissions were logged and not stored. That turned a vague "conversion is low" into one specific setting to change.

The dead booking promise was removed from every page, and a check now fails the build if a known-dead handle starts resolving, so the exception list cannot go stale.

Inside your team

Marketing systems fail quietly between tools. A weekly dashboard is only as honest as the plumbing under it, so the first build in any new stack is the check that says what is actually connected.

Skills shown

Free — no call required

The Multi-Location AI Swarm Blueprint

Get the deployment order for a marketing swarm across multiple locations — which agent goes first, what it depends on, and what has to be true before agent number two pays for itself.

  • The dependency map: which four foundation agents every other agent reads from, and why deploying a surface agent first strands it.
  • The 90-day sequence, week by week, with the acceptance test that closes each week.
  • The four loops that have to close — capture, decide, act, emit — and the failure mode when any one of them stays open.

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