Scaling AI Products: From MVP to Production
Building AI features is easy. Building AI features that work at scale, drive retention, and create moats is hard.
From MVP to production with AI products
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Articles in Scaling AI
The Context Moat: How Structured Knowledge Becomes Your Competitive Advantage
Everyone has data. Few have structured context. Learn how to build defensibility through knowledge infrastructure.
From MVP to Platform: When and How to Expose Your AI Context Layer
Signs you're ready to become a platform: multiple products, API requests, agent integration needs.
AI Features Users Actually Use: Lessons from Building Context-Aware Products
After watching users interact with AI features, patterns emerge. Here's what gets adopted vs. what sounds cool in demos.
Agent Analytics: Metrics That Matter for AI-Assisted Operations
Traditional analytics don't capture agent performance. Here's the new metrics stack.
Xtended Tool Demo #2: Shape Up Pitch Reviewer
Your team knows what to build, but stakeholders want endless reviews. Watch how the pitch reviewer helps.
Xtended Tool Demo #1: Positioning Analyzer
Strong positioning isn't about clever taglines. It's about clarity. See the analyzer in action.
Emergence: Introducing Xtended
AI is everywhere right now. New tools launch daily. But most don't fit your workflow. Here's what's different.
Ready to Build Your Context Infrastructure?
Xtended provides the structured knowledge layer that makes AI agents effective. Stop re-explaining context—start compounding it.
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