Resources

Understand the problem.
Plan the next step.

Practical writing, reference designs and tools for the people building and operating data and AI systems.

Guides

Work through a specific problem, from a failed pipeline to a company-document AI rollout.

Explore engineering decisions, tradeoffs and the details that change an implementation.

Follow illustrative architectures and interfaces, including SAP HANA sales analytics and company AI.

Start with a recovery runbook or evaluation worksheet. Adapt a copy for your own team.

From the library

Template · AI implementation

Plan checks for grounded answers, conflicting documents, access boundaries and missing evidence before releasing an internal AI assistant.

Template · Data reliability

A reusable worksheet for recording impact, safe replay, validation evidence and ownership during a data-pipeline incident.

Article · Data reliability

Separate task completion from data readiness with checks for missing records, duplicate keys, freshness and business totals.

Guide · Data reliability

A practical Airflow recovery checklist: identify affected data, check rerun safety, validate results, and document a repeatable recovery procedure.

Guide · AI implementation

Plan a company-document AI assistant with a defined workflow, source ownership, document permissions, answer evaluation, and a clear handover.