@CumulusAI
AI in the Clouds
Nothing here yet.
Nothing here yet.
Apr 1 · 5 min read · You've seen the marketing: "128k context window!" "1 million tokens!" But what does that actually mean for your use case? And why does your chatbot still forget what you said 20 messages ago? This is the first post in a series on LLM internals — no h...
Join discussionFeb 17 · 2 min read · TL;DR: Stop buying AI infrastructure before you know what problem you're solving. Start with one workflow, prove value, then scale the platform. I've seen this pattern too many times. Enterprise buys a shiny AI platform. Six figures. Maybe seven. The...
Join discussionFeb 16 · 2 min read · TL;DR: Skip AI governance now and you'll pay for it later with rework, compliance fires, and projects that can't leave the lab. Most enterprises treat AI governance like a handbrake. Something legal makes you do. A box-ticking exercise that slows dow...
Join discussionFeb 15 · 2 min read · TL;DR: Waiting for AI to "mature" isn't caution. It's falling behind while competitors build institutional knowledge you'll never catch up on. According to McKinsey, AI high performers are 1.5x more likely to have been early adopters. The advantage i...
Join discussionFeb 14 · 2 min read · TL;DR: Most AI projects fail because of organizational resistance, not technical limitations. Fix the culture first. Here's an uncomfortable truth. That AI pilot you're running? The technology works fine. The reason it won't scale is your organizatio...
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