Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
dbt 2026 emphasizes trust (83%) and speed (71%). For AI call analytics that means a semantic layer with golden metrics, dbt MCP server for agents, and rock-solid tests. Here's the model layout we ship at CallSphere.
Lessonspace, LearnCube, and a wave of AI-tutor startups run on WebRTC + collaborative whiteboards. Here is the 2026 build for AI tutoring with vision-grounded feedback.
HITRUST CSF v11 introduced threat-adaptive assessments, AI Risk Management and AI Security certifications, and updated mappings to NIST 800-53 r5 and HICP. Here is how AI voice and chat vendors map to v11.
OWASP made unexpected code execution a top-tier risk for agentic AI. Here is how to pick between microVMs, gVisor, and hardened containers - and what we run.
192 D2C mattress brands compete on a single comfort decision. Chat agents that run a 90-second sleep quiz, recommend firmness, and gate the 100-night trial save 18% of returns. Here is the 2026 playbook.
Ragas llm as a judge: rAGAS pioneered reference-free evaluation; ARES adds confidence-scored LLM judges. The 2026 stack uses both — RAGAS in CI, ARES with a calibrated judge for production drift detection.
Run a 3-node k3s cluster at the network edge to slash voice-agent first-token latency below 250ms. ServerlessLB, MetalLB, NodeLocalDNS, and tuned WebRTC ports.
Procore Helix shipped Procore Assist and Agent Builder in 2026 and Buildertrend rolled out customer-facing AI. Here is how a chat agent on top cuts RFI-to-answer time by 60% and gives subs and owners a single conversational interface.
Three discount tiers reshape effective AI cost: cached read (10% of input rate), batch (50% off), and committed volume (negotiated). Real OpenAI/Anthropic/Google numbers and a 100M-token worked example.
