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
Slack now ships an official remote MCP and the duolingo/slack-mcp + korotovsky/slack-mcp-server forks dominate open source. Patterns for on-call agents, knowledge retrieval, and the OAuth flow.
Power users drive 80% of value but most product UIs hide advanced features to avoid overwhelming new users. Here is how an in-app chat surfaces depth on demand without compromising the new user experience.
Pyannote 4.0 + Community-1 hits sub-150 ms diarization in a streaming call pipeline. We show how to wire diarization into transcript ingest so every line is labeled agent or caller before it lands in ClickHouse.
CNAM is the legacy carrier database that displays your business name on a recipient's screen. In 2026 it works for local numbers, fails for toll-free, and is being eaten by branded calling. Here is what to register, what not to bother with, and how it interacts with STIR/SHAKEN.
Home goods D2C buyers spend 30 to 60 days researching a single sheet set or sofa. Chat agents that know thread count, weave, and care instructions move buyers from research to checkout 23% faster.
RTCP Receiver Reports carry the only honest measurement of what your caller actually heard - jitter, loss, delay - reported by their device. Here is how to capture, decode, and dashboard them across a Twilio AI voice fleet.
Provision an AI voice agent stack with Terraform 1.10+: ephemeral Vault credentials, AWS LB + EKS, OpenSearch for vector store, and OIDC trust without long-lived keys.
Salon platforms move 100M+ bookings a year and lose 30% of new-client inquiries to slow phone response. Here is how 2026 chat agents bolt onto Booksy, Vagaro, and Fresha to convert 40% more inbound and recover 25% of cancelled slots.
A planner LLM writes the steps once; cheaper executor LLMs run them. Plan-and-execute saves 40–60% tokens versus pure ReAct, and re-planning recovers gracefully when the world shifts mid-task.
