Enterprise AI doesn’t need another app: it needs its language

# Plain English Summary Companies have spent the last two years building individual AI tools for different jobs (chatbots, sales assistants, etc.), but this approach is becoming expensive and hard to scale up reliably. What businesses actually need now is a common AI language—similar to how programming languages like Fortran and C made earlier computing breakthroughs practical—that would let them build and reuse AI solutions across their organization without reinventing the wheel each time.
For the past two years, companies have been asking the same question in slightly different forms: which AI application should we build next? A customer service agent? A sales copilot? A procurement assistant? A coding agent? A research assistant? A workflow automation layer? A chatbot connected
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