Practical notes on
AI & systems
Field notes from delivering AI systems integration, enterprise automation, RAG, cloud and IoT — not marketing fluff.
Designing Human Review Before AI Document Extraction Goes Live
A practical framework for routing, reviewing, auditing, and improving AI-extracted documents before they trigger business-system actions.
Configuration Management and Secret Sync Across Environments
A practical approach to reducing deployment drift through typed configuration, isolated secrets, controlled promotion, and automated validation.
From Excel Workflows to Maintainable Automation: An Engineering Approach
Excel automation succeeds when hidden data rules, responsibilities, and exceptions become explicit, testable, and observable system behavior.
Early Detection and Ownership for Cloud Cost Anomalies
A practical framework for detecting abnormal cloud spend early, assigning ownership, and turning alerts into safe engineering action.
Moving Batch Jobs to the Cloud: Scheduling, Reruns, and Recoverability
Cloud batch reliability depends on explicit business dates, idempotent execution, controlled retries, auditable reruns, and operational visibility.
Choosing among Cloud Run, Lambda, and container platforms
A practical framework for choosing an execution platform based on workload shape, integration needs, latency, cost, and operational ownership.
Mixing AWS and GCP: Define Network and Billing Boundaries First
A practical guide to routing, DNS, resilience, data transfer charges, and cost ownership in a mixed AWS and GCP architecture.
API Keys, OAuth, and Service Accounts: Drawing the Right Identity Boundaries
A practical framework for choosing and governing API keys, OAuth tokens, and service accounts across enterprise integrations.
Encryption and Key Management Checks Before Cloud Data Landing
A practical engineering checklist for choosing encryption boundaries, controlling keys, and validating recovery before cloud ingestion.
Beyond Shared Folders: Document Classification and Access Logging for Enterprise Knowledge Bases
A practical engineering guide to classification, authorization inheritance, RAG controls, and useful audit trails for enterprise knowledge bases.
Where to Place Prompt Injection Defenses
Prompt injection is not solved by one filter; this guide places controls across ingestion, RAG, tool execution, output, and operations.
Threat Modeling Before Connecting AI Assistants to Internal Systems
A practical framework for defining trust boundaries, permissions, abuse paths, and failure controls before an AI assistant can access enterprise systems.
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