Kai Relaunch Dept - AI Automation & Launch Recovery Specialist | ContraWork by Kai Relaunch Dept
Kai Relaunch Dept

Kai Relaunch Dept

AI Automation & Launch Recovery Specialist

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Madrid, Spain

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Madrid, Spain

Cover image for A schema rename passed every unit test. It still broke a rev...
A schema rename passed every unit test. It still broke a revenue dashboard. The query changed from order_total to gross_amount; the schema was valid, but downstream models still expected the old field. The fix isn't another linter. Before merge, ask four questions: Which assets depend on this field? Is the change additive, rename, type change, or removal? Can we generate compatibility SQL and dbt YAML before touching production? Is there a decision receipt reviewers can reproduce? I built a bounded public replay of that workflow. Start with the CRITICAL case: it blocks a lossy decimal-to-integer change when an ML consumer sits downstream, then exposes the lineage, affected queries, compatibility artifacts, and deterministic run ID. Demo: https://schema-shield.vercel.app (https://schema-shield.vercel.app)Source/evidence: https://github.com/ceodaradigu/schema-shield What schema operation should the next fixture cover? AI-assisted analysis, reviewed before publication by RELAUNCH DEPT.
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Cover image for Proofline Keeper — Transaction Firewall for AI Agents
Proofline Keeper — Transaction Firewall for AI Agents
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Cover image for Proofline — Evidence Gate for AI Agents
Proofline — Evidence Gate for AI Agents
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Cover image for SchemaShield — Evidence-First Schema Change Preflight
SchemaShield — Evidence-First Schema Change Preflight
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