Transparent evidence · Fictional data only / 公开示例 · 全部为虚构数据

What a workflow diagnostic report actually looks like.

Three intentionally constructed inquiry-to-quote examples were compared offline: one match, two mismatches and five typed field differences. The aim is to show the shape and limitations of a bounded expected-vs-actual review—not to claim a live customer defect.

三个专门构造的虚构询盘场景,离线比较预期值与观察值:1项一致、2项不一致、5处字段差异。此页面展示诊断报告格式及局限,**不是已完成的客户付费项目**。

Critical distinction / 重要边界: The comparator only evaluates values supplied in the test fixture; it did not query n8n, access a CRM or email account, invoke any webhook or validate a customer production workflow. A green MATCH only means two supplied values agree. / 一致不等于真实生产正确。
3
Fictional scenarios / 虚构测试场景
5
Field differences found / 字段差异
26/26
Fresh offline regression tests passed / 离线测试通过

Scenario results · 场景比较结果

Scenario / 场景Supplied priorityResultField differences
happy_quotemediumMATCH0
duplicate_inquiryhighMISMATCH3
missing_fieldhighMISMATCH2

What was different? · 差异详情

CaseField pathDifference classification
Duplicate inquiryresult.event.acceptedvalue_mismatch (boolean)
Duplicate inquiryresult.event.reasonvalue_mismatch (string)
Duplicate inquiryresult.statusvalue_mismatch (integer)
Missing fieldresult.error.codetype_mismatch (expected string, observed null)
Missing fieldresult.statusvalue_mismatch (integer)

Raw input values are not present in the report. All differences were deliberate test fixtures; none establishes a defect in a real organization’s workflow.

Method, evidence & limitations · 方法与验证边界

What was tested

A local Python 3.13.5 run on 24 October 2026 completed 26 regression tests for the isolated comparison utility. Checks cover missing/extra fields, duplicate JSON keys and case IDs, typed comparisons, exact decimal numbers and exceptional encodings or invalid inputs. A separate run recreated this exact 3-case report.

What was not tested

No real workflow, n8n instance, third-party account, production API, customer data, user consent, payment, integration or deployed service acceptance. This is a synthetic comparison demonstration—not an independent audit, official certification or paid client reference.

Reproducibility anchor for local candidate: diagnose.py SHA-256 12595bf46a8d269a77f7d87db5dd788e0e28d3c98d6c8f056206b34a68fcce8a. This file hash documents a local artifact, not a public source release.

Read or save the Markdown report · 查看Markdown报告

How the proposed paid review differs · 真实诊断怎么做

  1. Agree in writing on one workflow path, up to three cases, maximum three working hours, payment and acceptance criteria.
  2. Use fictional or appropriately sanitized and authorized observations; no customer secrets or real accounts required.
  3. Identify mismatches, their uncertainty and reproduction steps, if an authorized test environment exists within the agreed scope.
  4. Deliver a concise findings report plus an acceptance checklist; quote separately for fixes or deployment.

建议试单价为119美元,只覆盖书面约定的小范围诊断;不得视为保证修复、系统正式激活或自动付款。

Ask about a scoped diagnostic

A prospective client can ask a non-confidential question in the public GitHub enquiry thread (GitHub sign-in required). Comments are public. Never post customer names, private email addresses, phone numbers, access tokens, contracts, protected documents or live customer data.

咨询前请勿公开任何客户机密。留言须登录 GitHub,公开询价并不产生合同或付款义务。

Open non-confidential enquiry ↗ View US$119 service scope