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
Asterisk's Stasis application + ARI gives you fine-grained channel control from any HTTP-speaking service. For AI voice agents in 2026 that means a pure-Python control plane sitting on top of a battle-tested PBX.
AutoGen v0.5 keeps the actor-model runtime alive while Microsoft pushes Agent Framework as the production successor. Here is when each one wins.
Debezium 2.x tails the Postgres WAL and emits a change event for every insert, update, and delete. Wire it to your AI agents and your CRM updates become instant agent context — no polling, no lag.
Cerebras CS-3 wafer-scale chips hit 1,800+ tok/s on Llama 3.3 70B and 2,500+ on Llama 4 Maverick — beating NVIDIA Blackwell. Wire Cerebras into a voice pipeline for invisible LLM latency.
Cross-region traffic adds 50-200ms — a fatal share of your sub-500ms budget. We map PoPs, region-pinning, AWS Local Zones, and MPLS backbones to keep callers near compute in 2026.
When the AI escalates, a branded recap email beats a Slack ping. We wire SendGrid into the CallSphere After-hours race and Healthcare intake to ship transcript, action items, and next steps in under 6 seconds.
Plain WebSocket cannot signal backpressure. WebSocketStream wraps it in the Streams API so AI token feeds, audio chunks, and Gemini Live concurrent streams flow without buffer-bloat.
How to apply real backpressure to a WebSocket carrying AI audio: bounded queues, token-bucket grants, sentence-level streaming, and the buffer trap to avoid.
How AI voice agents use 10DLC to escalate to SMS in 2026: registration cost, throughput tiers, the new FCC one-to-one consent rule, and when to use toll-free instead.
