What an AI opportunity review should decide
The decisions an AI opportunity review should produce before anyone funds a pilot or buys another tool.
Informative notes on AI, full-stack development, DevOps, testing, cloud, and operations—plus practical how-tos for teams who run the work. Subscribe with RSS.
20 articles
The decisions an AI opportunity review should produce before anyone funds a pilot or buys another tool.
What a small team should know about cloud spend and recovery before an outage or an invoice becomes the project.
How a small team makes releases repeatable when one person currently knows how production is updated.
Explore practical steps for operations and engineering teams to prepare existing business data for effective AI integration, focusing on data quality, structure, and security.
A practical testing pass for business software, focused on the workflows operators will run the day after release.
Explore how DevOps runbooks document deployment procedures and incident response steps to support consistent operations and rapid recovery.
How operations teams know a spreadsheet has outgrown its job, and what to replace it with before the next hire depends on it.
A practical guide for full-stack teams on handing off builds to testing with well-defined acceptance criteria to support effective QA and DevOps workflows.
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