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Validation — AI workflow audit

Before you ship an AI workflow to production, let a ruthless machine review it.

Upload or connect n8n/Dify: exposed-secret detection, risky prompts, dead branches, probable cost issues, and regression tests ready to run.

Open-source-firstBeta design partnersDemand validation before build
12 checkscovering security, cost, and maintainability
<5 minto get a usable report

Signal

Early access

Form wired to a free local collector: SQLite storage + JSONL audit log under /var/lib/unicornhunters/landing-leads/.

The pain is already visible.

Automation consultants, AI agencies, SMBs, and growth teams delivering n8n/Dify workflows to clients or internal teams.

Current pain

  • Low-code workflows become opaque and fragile quickly.
  • Prompts change without regression tests.
  • Credentials and dead branches slip into production unnoticed.

A simple MVP you can sell and test.

One-off report expected at €19–49. Consultant plan at €99/month for unlimited audits and history.

Workflow lint

Detects dead branches, brittle nodes, versioning issues, and risky credentials.

Prompt review

Flags injections, unbounded outputs, cost risk, and missing guardrails.

Regression pack

Generates test cases, deployment checklist, and client-facing docs.

Hypothesis to validate

“If the pain is real, prospects will leave their email, describe the use case, and indicate budget before the product exists.”

Decision metrics

  • 20+ qualified emails in 7 days
  • 5+ accepted discovery calls
  • 3+ prospects with explicit budget
  • At least 1 priority-access request

Join the beta

Form wired to a free local collector: SQLite storage + JSONL audit log under /var/lib/unicornhunters/landing-leads/.

Form wired to a free local collector: SQLite storage + JSONL audit log under /var/lib/unicornhunters/landing-leads/.
Goal: measure real demand. No spam; manual follow-up only when the signal is strong.