Blog
Why 40% of Agentic AI Projects Will Fail
Gartner says cost, unclear value, and risk will sink most agentic AI projects. The deeper issue is that leaders can't see, measure, or translate what their systems are doing.
When Agents Fail Silently: Why Visibility Is the Next Frontier in AI Quality
When an AI agent fails, it often doesn't tell you. These silent failures are the hardest kind to detect because the system believes it succeeded.
The $20 AI Subscription That Costs $500 to Deliver
A single Claude Code user consumed $150,000 worth of AI compute in one month. Their subscription fee? $200. This is how AI subscription businesses are breaking in real time.
We've Seen This Before: What Agentic AI Can Learn from the Early Web
In the early 2000s, websites were hand-built. Every change required a developer. Then CMSs changed everything. Agents are at that same inflection point today.
Why LLM Routers Are the "Clay" of AI: A Guide for GTM Teams
If you're in sales or marketing, you probably know Clay. Now imagine that same concept, but for AI models instead of data sources. That's what LLM routers do.
The Mainframe Moment: Why AI's Present Looks Like Computing's Past
Today's token pricing for large language models mirrors the mainframe era with uncanny precision. We're watching history repeat itself.
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