LAUNCHCLEAR●

LEAD-TO-CRM WORKFLOW RELEASE QA

Know if the workflow is ready.

I test one existing lead-to-CRM path and turn the result into a reviewable release decision with evidence.

Send one redacted workflow pathSee public proof
AProject brand

LaunchClear

BCommunication

Email first

CScope

One paid milestone

DEvidence

No invented outcomes

ONE WAY TO START

Small scope.
Clear release decision.

The current active service is one bounded Lead-to-CRM acceptance pass. Public work below remains evidence, not additional offers.

00

Lead-to-CRM AI workflow release gate

USD 139

For one existing lead-to-CRM workflow that needs a release decision.

  • One workflow with up to two connected systems
  • Twelve reproducible acceptance and failure-path checks
  • Evidence-linked findings and a release recommendation
  • First report within 48 hours and one bounded retest

Start with a redacted export, sandbox, replayable logs, or synthetic fixtures · No production credentials, real customer data, destructive actions, security testing, regulated-data review, revenue guarantees, or new multi-system implementation

Review the fictional capability sample Request the release gate

WORKING METHOD

Proof before polish.

Strong copy and automation both depend on the same discipline: separate what is verified, what still needs proof, and what the customer should do next.

  1. 01
    Define the decision

    One audience, one asset, one measurable next action.

  2. 02
    Build from evidence

    Verified facts stay public. Open questions stay visible.

  3. 03
    Ship a usable artifact

    You receive editable work, rationale, and a clear next step.

PUBLIC WORK

Inspect the work
before you reply.

Every public artifact states its limits. You can inspect the source, release, and test claims directly.

AI RESPONSE EVALUATION REPORT

Evidence-linked Python answer review

A two-page synthetic review sample that turns one flawed Python answer into a five-dimension scorecard, traceable findings, a reference improvement, and reusable acceptance criteria.

2 pages · 5 scored dimensions · synthetic data only

Download the concept sample report

DETERMINISTIC LLM EVALUATION

Fictional response ranking harness

A reproducible Python evaluation sample with transparent weights, evidence-linked deductions, typed findings, and a downloadable stable JSON report.

25 tests passed · 4 typed findings · fictional data only

Inspect the rubric, ranking, and report

IMAGE EVALUATION SAMPLE

Fictional checkout dashboard review

A bilingual visual QA sample with five traceable findings across data consistency, alignment, semantic encoding, legibility, and text completeness.

58/100 · 5 findings · synthetic data only

Inspect the image and structured findings

EXECUTABLE AUTOMATION SAMPLE

Public Trend Signal MVP

A credential-free pipeline that normalizes fictional multi-source records, removes tracking noise, deduplicates by stable identity, scores trends deterministically, and exports a human-review queue.

5 tests passed · public CI green · fictional data only

Run the sample and inspect the evidence

LIVE ACCESSIBILITY QA

Phi Browser careers modal audit

A zero dependency HTTP audit that discovers the live Test Engineer route and lazy application bundle, then checks the modal for programmatic dialog semantics.

6 tests passed · live finding reproduced July 20, 2026

Inspect the audit and source package

VERIFIED OPEN SOURCE FIX

EasyFind Chinese IME diagnosis

Reproduced a Chinese input corruption bug and traced it to autocomplete writes during IME composition. The maintainer confirmed the analysis directly shaped the composition-aware fix released in v2.1.3.

Issue #14 · PR #15 · released July 19, 2026

Inspect the maintainer response

OPEN SOURCE SKILL

Localize SaaS for China

A reusable evidence first workflow for Chinese positioning, landing pages, WeChat content, bilingual outreach, and launch diligence.

Validated · MIT-0 · v1.2.0

View the public skill

TECHNICAL DEMO

WeCom CLI batch demo

A credential free local demonstration of batch planning, bounded retries, idempotency, JSON logs, and destructive action guards.

4 tests passed · v0.1.0 · zero live calls

Inspect the release

TECHNICAL SAMPLE

Dated Web Change Evidence

A zero dependency Python sample that records UTC check times, normalized visible text, SHA256 fingerprints, and atomic JSON baselines.

4 tests passed · public source · no client claim

Inspect the public sample

COPY SAMPLES

Independent conversion notes

Concise sample audits for B2B SaaS pages, clearly labeled as independent work with no client relationship or performance claim.

Available by email · PDF

Request both samples

GOOD FIRST PROJECT

Bring a real constraint.

Good fit

  • You have one live page or workflow
  • You can share approved product facts
  • You want a reviewable first milestone
  • Email communication works for your team

Scope limits

  • No fabricated testimonials or results
  • No legal or compliance guarantees
  • No production access without a test plan
  • No full delivery before a funded milestone

START WITH CONTEXT

One workflow.
One release risk.
One email.

Send the workflow stage, two connected systems, main release risk, sanitized evidence available, and target release date. I will confirm whether the fixed gate fits.

Email LaunchClear