The AI Breakthrough Isn’t Just the Model. It’s the Context.

Everyone’s excited about the next LLM model improvement: smaller, faster, smarter. But inside businesses with revenue targets, territory plans, and QBRs, models alone aren’t enough. The AI that delivers value isn’t just generative. It’s contextual.

And that’s why vertical AI is winning.

In a recent post, IBM’s VP of AI Platform Armand Ruiz said it plainly:

“Context is the product.”

He’s right. Because in practice, building an AI analyst that actually helps a sales leader or marketing partner isn’t about model architecture — it’s about everything else.

What Is Context Engineering?

It’s the discipline of designing what goes into the model, and how.

Context engineering is:

• Selecting and shaping the data: What fields matter in this deal desk workflow? How should metrics like pipeline coverage or churn risk be chunked and compared?
  
  
• Structuring the customer’s intent: What does “What’s our revenue risk next quarter?” actually mean in a GTM org? Is it about weighted pipeline? Bookings vs. plan? AI has to understand the nuances behind everyday business questions.
  
  
• Adapting in real time: When a CRO asks about deal velocity and the AI surfaces outlier reps or missing activity, the answers change based on system inputs not static prompts.

In other words, it’s the architecture of intelligence. And it can’t be copied from a horizontal template. It has to be built into the AI itself.

Why Vertical Context Wins

At TigerEye, we built our AI from the ground up for go-to-market teams. Not by layering AI on top of a generic BI tool, but by tightly coupling:

• Unified, time-aware go-to-market data
  
  
• Domain-specific metrics and business definitions
  
  
• Language models tuned for structured reasoning
  
  
• Secure, customer-controlled infrastructure

That’s what makes our AI Analyst different. It doesn’t hallucinate random forecasts or spit out dashboards no one asked for. It knows your ARR vs. TCV, understands rep pacing, and speaks the language of marketing, sales and finance.

The Future of AI Isn’t Just “Smart” — It’s Structured

The companies succeeding with AI today aren’t the ones chasing hype. They’re the ones wiring intelligence into the workflows that matter by using the right data, shaped by the right context, at the right moment.

That’s the promise of vertical AI, and that’s the foundation of TigerEye.

Ready to see how vertical AI changes the game? Book a demo.

Want to learn more about context engineering? The cofounder and CEO at DAIR.AI just put together this handy guide.