The 7 Layers of AI, Explained for Developers
You have probably seen the diagram: seven boxes stacked from Classical AI at the bottom to AGI at the top,…
Insights on applied AI, AI-ready engineering teams, machine learning adoption, and practical ways companies use artificial intelligence to improve products, workflows, and team productivity.
You have probably seen the diagram: seven boxes stacked from Classical AI at the bottom to AGI at the top,…
Three-quarters of CFOs are raising their technology budgets for 2026, with nearly half increasing spend by 10% or more, according…
Hiring a Forward Deployed Engineer is one of the easiest searches to miscalibrate in engineering right now. Not because the talent does…
Most people have heard of Salesforce. Far fewer can explain what it actually does — let alone what it’s become…
Every developer has had this experience: you describe what you want to an AI model, it generates something that looks…
Artificial intelligence (AI) is knocking technology out of the park, especially regarding machine learning (ML). .. …
Every team building with LLMs hits the same fork in the road eventually: should we use RAG, fine-tune the model,…
AI tools have become a standard part of how software gets built. Code assistants, RAG pipelines, LLM-powered features—they’re everywhere. And…
The question most developers are quietly asking isn’t “will AI replace me?” It’s something more practical: what do I need…
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Talk to an expertA monthly briefing by Damian Wasserman with clear analysis, practical frameworks, and market signals to help leaders scale engineering teams and make high-impact decisions.