Figure 03 moves embodied agents from demo to deployment with a Helix native control stack, tactile hands, 2 kW wireless charging, and a BotQ supply chain built for volume. Here is why that matters now.
Talos
Generative 3D just cleared the production bar. Tripo’s Text to CAD API moves text and images into manufacturable models, while parametric peers push full feature trees. Here is what CAD grade means and how to pilot it now.
Thinking Machines Lab launches Tinker, a LoRA-first fine-tuning API that hides distributed training while preserving control. It nudges teams to start with post-training for agents, with managed orchestration and portable adapters.
Replit's Agent 3 moves autonomy from demo to delivery with browser testing, long running sessions, and the ability to spawn specialized agents. Here is how it reshapes speed, safety, and the economics of shipping software.
A wave of vertical Model Context Protocol servers has jumped from demos to production, giving AI agents safe verbs, typed results, and real governance. Here is what shipped, how it works, and how to pick the right stack.
OpenLIT just shipped a Kubernetes Operator that turns on tracing, tokens, and costs for every LLM app without code changes. See how operators and OpenTelemetry make agent observability instant, safe, and vendor neutral.
Caesr’s October launch puts screen-native agents into real work. Instead of APIs alone, they click and type across web, desktop, and mobile. See what this unlocks now, how to make it reliable, and how to adopt it in 30 days.
Suno has turned its one-shot generator into a desktop workspace. Suno Studio pairs the latest v5 model with multitrack editing, stem generation, and AI-guided arrangement, shifting AI music from novelty to daily workflow.
Vectara's Agent API and Guardian Agent push enterprise AI beyond retrieval demos into audited, production-grade agents. We unpack changes, compare to OpenAI and AWS, and share playbooks, budgets, and guardrails for 2026 shipping.
LiveKit Inference promises a single key and capacity plan for speech to text, large language models, and text to speech. Here is how it changes production voice agents, what to test before launch, and which tradeoffs matter most.