Model Latency Profiles by Provider: TTFT, TPS, and p99 in 2026
Headline tokens-per-second numbers hide what matters. The 2026 latency profiles by provider — TTFT, TPS, and p99 — for production planning.
7 min read
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AI Voice Agent Insights & Guides
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Deploying Voice AI Across 50 Clinics: Vapi Engineering Cost vs CallSphere
CallSphere ships multi-tenant practices natively. Deploying 50 clinics on Vapi means 50 manual setups or building a multi-tenant layer. The cost breakdown.
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Multi-Hop RAG: Designing Retrieval Pipelines for Complex Questions
Multi-hop questions break naive RAG. The 2026 retrieval patterns that handle 'who is the manager of the engineer who shipped Y' style questions.
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Multi-Provider Failover: Patterns That Don't Drop Quality
Multi-provider failover protects against outages but can drop response quality. The 2026 patterns that preserve both reliability and quality.
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Multi-Turn Dialogue Coherence: Why Bots Lose the Thread
Long conversations are where bots fail. The 2026 techniques for keeping coherence across many turns without infinite-context costs.
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Negative Prompts and Constraint Engineering for Safety
Telling the model what not to do is its own discipline. The 2026 patterns for negative prompts, constraint engineering, and safe behavior.
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NIST AI RMF Generative Profile: Mapping Controls to Your LLM Stack
NIST's generative-AI profile updated the AI Risk Management Framework. How to map its controls to a real LLM stack in 2026.
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Open-Source vs Closed LLM Economics in 2026: The Crossover That Finally Happened
By April 2026 the open-vs-closed economic crossover happened for many enterprise workloads. The math, the workloads, and what's still closed-only.
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Choosing Open vs Closed LLMs Per Workload (Decision Framework)
A workload-by-workload framework for picking open-weights vs closed-API LLMs in 2026, with concrete examples and economics.
8 min read
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