Proof-first offer: one workflow, fixed scope, no income or business-outcome claims.
Fixed-scope async diagnostic · $499

Stop one unreliable AI workflow from looping, duplicating actions, or claiming success without proof.

Send one failing run and the expected behavior. Get an evidence-backed root-cause map, ranked repair priorities, and failing tests where possible—without another sales call or vague AI strategy deck.

Start the $499 diagnostic Check fit first

No calls required. Full implementation is separate and proposed only after the evidence supports it.

Failing runlogs, traces, screenshots, or repo evidence
Expected vs. actualone concrete behavioral contract
Destination proofprovider state, file, row, receipt, or visible outcome
Verificationtests, CI, artifacts, or a documented evidence gap
Free 5-minute self-audit

Is this a prompt problem—or a reliability problem?

Mark every symptom that appears in the same workflow. This check stays in your browser and does not submit data.

What happens in the failing run?
Reliability signals
0/5

Start with the failing run.

Select the symptoms you can prove. A high score does not prove the root cause; it shows that prompt changes alone are unlikely to be enough.

Send a fit check
The four-step mechanism

Evidence → Reproduce → Rank → Repair map

The funnel you referenced uses a named method to make a complicated system feel concrete. This version earns that clarity with verifier-backed technical work.

01 · Evidence

Define one failure contract.

Capture the failing run, expected behavior, actual behavior, business impact, and the strongest available evidence.

02 · Reproduce

Isolate the smallest deterministic path.

Recreate the issue where possible and record the exact reason when access, timing, or missing data prevents reproduction.

03 · Rank

Prioritize causes by evidence and risk.

Review state, tool contracts, retries, idempotency, timeouts, caching, observability, and action safety.

04 · Repair map

Sequence the smallest safe fixes.

Return repair priorities, verification steps, failing tests where possible, and the evidence required to call each fix complete.

What you keep

Working artifacts, not inflated “bonus value.”

Every item belongs to the diagnostic outcome. There are no invented retail prices and no unsupported case-study claims.

Failure-path map

The sequence from input to tool call to observed failure, with evidence attached to the relevant step.

Ranked root-cause table

Cause, evidence, confidence, business risk, and the next test that would raise or lower confidence.

Repair priorities

The smallest safe fixes in order, including explicit boundaries for anything outside the fixed diagnostic scope.

Verification checklist

The tests, provider readbacks, CI checks, or artifacts required before any repaired workflow can be called complete.

Fit screening is the risk reversal

Buy only when one concrete workflow fits the scope.

Strong fit
  • One workflow fails, loops, duplicates, stalls, or loses state
  • You can share logs, traces, screenshots, or repo pointers
  • Expected and actual behavior can be stated clearly
  • You want diagnosis and a repair plan before implementation
Not a fit
  • A broad architecture, growth, or “build my whole product” request
  • No failing workflow or evidence to inspect
  • A guaranteed revenue, uptime, or business outcome
  • Immediate production deployment inside the diagnostic scope
Ask for a yes/no fit check
Questions buyers ask before paying

Scope, evidence, and next steps—up front.

Who is this for?

Teams with one concrete failing AI-agent or automation workflow and evidence such as logs, traces, screenshots, provider receipts, or repo pointers.

What do I need to send?

One workflow, expected behavior, observed behavior, business impact, and the strongest evidence you have. Private access is requested only when the authorized diagnostic cannot proceed without it.

What if the failure cannot be reproduced?

The report states the reproduction boundary, records what was tested, ranks only evidence-supported causes, and identifies the next artifact or observation needed. “Could not reproduce” is a valid finding; fake certainty is not.

Is implementation included?

No. The $499 diagnostic ends with the evidence-backed repair map and one written follow-up round. A bounded repair sprint can be proposed separately after the diagnosis.

Does this guarantee uptime, revenue, or a business result?

No. It provides a fixed technical diagnostic result. Production behavior and business outcomes depend on the system, access, evidence, implementation, providers, and operating environment.

What happens after checkout?

The intake and payment are reconciled, the diagnostic scope is confirmed, required assets are requested, and technical work begins only after the evidence and authorization are available.

One workflow. One fixed result.

Replace “the agent said it worked” with evidence.

Start the recoverable intake, or send a fit check first if the scope is uncertain.

Start the $499 diagnostic Check fit first
$499 fixed scope · one unreliable workflow Start diagnostic