A March 2021 archive item revisited reporting by The Wall Street Journal about Engineer.ai and the extent of automation in its app-building service. The report questioned how much work was performed by software and how much depended on developers.
The company described its approach as AI with human involvement. The reporting cited employees and documents that disputed the level of automation being advertised. These were reported claims and disagreements, not findings independently established by Sparkler Soft.
The broader product question is concrete: which steps are automated, where do people intervene and what is delivered at the end? A service may combine reusable components, workflow software and skilled manual work. Clear descriptions of those contributions are more useful than an overall AI label. This adaptation preserves the reporting context and removes the original headline’s reference to developers’ nationality.
The February 2021 archive included a Tangled AI article on preparing a small business for AI adoption. Its main theme was to begin with a business problem and readiness, rather than with enthusiasm for a particular platform.
This February 2021 archive item used a hierarchy of needs to explain why an AI project depends on work that happens before model development. Its foundation was reliable data collection and infrastructure.
The original November 2022 explainer introduced three terms often grouped together under artificial intelligence: narrow AI, general AI and superintelligence. They describe different levels of capability, rather than three interchangeable labels for the same technology.
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