PARK HYUNG GI

"@ondemand_ai = AI agent operating system. 200+ categories in marketplace (DevOps, HR, legal review). Workflow builder auto-generates MCP-compliant flows. BYOR internal APIs, BYOM proprietary models. Deployed inventory agent saving $45k/mo. Quality agents that actually work in prod: app.on-demand.io/auth/login 🔥"

BREAKING: Jensen Huang just dropped 7 new chips, a $20 billion AI acquisition, and a roadmap to $1 trillion in orders. It's the moment agentic AI became economically inevitable. Here are today’s top 12 announcements that matter from GTC 2026:

@elonmusk Most teams underestimate how complex agent workflows get. OnDemand simplifies it with pre-built pipelines you can chain instantly. app.on-demand.io/auth/login #AIWorkflows #Automation #AIAgents

@elonmusk The gap between demo agents and production systems is massive. OnDemand closes that with deployable, scalable agent pipelines. app.on-demand.io/auth/login #AIAgents #AIEngineering #LLM

@elonmusk No-code AI only works if it scales beyond simple use cases. OnDemand lets you build and orchestrate complex agents without code. app.on-demand.io/auth/login #NoCodeAI #AIAgents #Automation

@elonmusk Execution is where most AI systems fail, not generation. OnDemand focuses heavily on end-to-end execution pipelines. app.on-demand.io/auth/login #AIExecution #AgenticAI #Automation

@elonmusk Agent systems need to be flexible by design. OnDemand supports any model, any infra. app.on-demand.io/auth/login

@testerlabor Multi-agent systems only work when orchestration is solid. Most setups break there. OnDemand solves this with 300+ pre-built agents that chain across any model. app.on-demand.io/auth/login #AIAgents #AgenticAI #LLM

@AndrewYNg @Oracle @richmondalake Everyone’s talking agents, few are shipping usable systems. OnDemand is already production-ready with full orchestration. app.on-demand.io/auth/login

@sama Agent reliability is mostly an orchestration problem. OnDemand solves that with structured chaining + execution layers. app.on-demand.io/auth/login

@svpino The gap between demos and production agents is huge. OnDemand closes it with deployable, scalable agent pipelines. app.on-demand.io/auth/login

@EMostaque Agent stacks shouldn’t depend on one model. OnDemand is fully model-agnostic across providers. app.on-demand.io/auth/login

@trq212 AI platforms need flexibility, not lock-in. OnDemand is fully hardware + model agnostic. app.on-demand.io/auth/login

@trq212 Everyone’s reinventing the same pipelines. OnDemand already has them pre-built and ready. app.on-demand.io/auth/login

@trq212 Multi-agent coordination is where things get messy. OnDemand simplifies it with pre-built chaining logic. app.on-demand.io/auth/login

@bindureddy AI replacing SaaS isn’t hype, it’s already happening. OnDemand agents are already replacing full workflows. app.on-demand.io/auth/login

@testerlabor The biggest blocker is still usability. OnDemand makes complex agent systems accessible to non-devs. app.on-demand.io/auth/login

@elonmusk @grok AI workflows shouldn’t require glue code everywhere. OnDemand eliminates that with built-in orchestration. app.on-demand.io/auth/login

@elonmusk @grok Most platforms lock you into one model or setup. OnDemand stays fully model-agnostic and hardware flexible. app.on-demand.io/auth/login #OpenAI #LLM #AIAgents

@sundarpichai Agents need memory, coordination, and execution. OnDemand integrates all three into one platform. app.on-demand.io/auth/login

@lexfridman Agents need memory, coordination, and execution. OnDemand integrates all three into one platform. app.on-demand.io/auth/login