Building @lamatic_ai | Deploying Agents for Every Knowledge Worker

Miami, FL
Joined August 2012
Apple yet again did the one more thing and surprised everyone. #apple #event
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Tired of guessing which LLM is up and whats its latency Introducing LLM Ops Toolkit → free, open‑source dashboard for uptime, cost, routing & diversity audits - Real Time Monitoring & Latency for 18 Providers - Browser Notifications - LLM cost Sim 🌐 tools.lamatic.ai
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Spoke at FAU about Agentic AI - how we got here, where we’re heading, and what it takes to build reliable agents. Excited to see such bright minds shaping the future of AI. Thanks Dr. Koch for having me!
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Last month @aicollectiveco hosted @make_hq build event in Miami — recap video now out! 🎥 Hands-on automation at @thelabmiami : live demos, real workflow building w/ experts, prizes for best creations. Pure maker energy from Miami's builders! 🔥
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🎥 @AICollectiveCo Demo Night at Mana Tech was one for the books. Huge congrats again to our Hall of Fame winners NextHello and Reader and thank you to everyone who showed up, supported, and helped make the event unforgettable. 🚀
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Introducing CRON Trigger Run millions of agentic requests with zero configuration and setup - all running instantly at serverless scale. Try it out today in studio.lamatic.ai
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🔓 Open Responses is trying to solve a real pain in agentic systems: vendor lock-in. It defines a common standard for messages, tools, and structured outputs so the same agent can run across different LLM providers without rewriting everything.
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AirLLM is a lightweight open source framework for building autonomous, tool-using LLM agents. Minimal, modular, plugin based, and no heavy dependencies. Run Llama, Qwen, Mistral locally. No cloud GPUs. No expensive hardware.
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Building with other founders once again reminded me of the importance of getting out of the building.
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Using multiple models together beats relying on just one. Some models are better at reasoning, others at retrieval or long context. Route simple tasks to small models, heavy reasoning to big ones. Chain and specialize them. The future is multi-model systems, not one best model
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Got my Home-lab setup with Nvidia RTX 5070 Ti Whats the first [AI] thing I should do with it?
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