44% of SaaS licenses go completely unused. Companies buy them anyway. I saw a post about building a "$100B advisory team" inside Claude using celebrity personas. Clever prompting.
44% of SaaS licenses go completely unused. Companies buy them anyway. I saw a post about building a "$100B advisory team" inside Claude using celebrity personas. Clever prompting.
44% of SaaS licenses go completely unused. Companies buy them anyway.
I saw a post about building a "$100B advisory team" inside Claude using celebrity personas. Clever prompting. But here is what I've noticed building AI for actual work: the gap between "AI that sounds smart" and "AI that does work" is enormous.
Personas are entertaining. What moves the needle is an AI agent that sees your real data — pipelines, team capacity, customer history — and acts on it inside your workspace. No copy-pasting context. No browser tab switching.
The teams getting real value from AI right now are not simulating advisors. They are consolidating their tools so AI has something real to work with.
How much of your AI usage is actual execution versus clever conversation?
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Somewhere around the seventh AI tool we'd integrated, I realized we weren't automating anything. We were just moving faster between dashboards. The Integration Tax Every new SaaS t
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