AI Solution Architecture: From PoC to Production
The architectural transitions that take an AI project from a PoC to production-grade in 2026 — and the things teams routinely miss.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
The architectural transitions that take an AI project from a PoC to production-grade in 2026 — and the things teams routinely miss.
Dental practices are a sweet spot for AI voice agents in 2026. ROI math, PMS integrations (Dentrix, Eaglesoft, Open Dental), and real deployment data.
The evolution of attention from the original transformer to 2026's multi-query and grouped-query variants — what changed and why it matters.
How agents convert vague human goals into executable steps in 2026. The decomposition patterns and the failure modes that derail them.
When building your own agent platform actually pays back vs when you should buy. The 2026 decision matrix with real numbers.
Production agents that surface uncertainty cleanly are dramatically more useful than confident-but-wrong ones. The 2026 uncertainty-design patterns.
Multi-layer cache designs for AI apps — prompt cache, response cache, retrieval cache, embedding cache — and how they compose in 2026.
California's AB 2013 forced training-data disclosure for frontier model providers. What is now public, what is not, and what other states are following.
Canarying new model versions catches regressions early. The 2026 patterns for safe LLM canary deploys and rollback automation.
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