
Building @lamatic_ai | Deploying Agents for Every Knowledge Worker
Miami, FL
Joined August 2012
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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
Check it out on github, open-source, light weight and self hosted
github.com/Lamatic/llm-ops-t…
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!
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! 🔥
🎥 @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. 🚀
Apply for future Demo Night / Pitch Events forms.gle/9ZEwCxVcwNoy45GV9
Aman Sharma ♦️ retweeted
Introducing... our BRAND NEW global events page!! 📆🌍
Much more coming to the @AICollectiveCo site in the coming weeks... we've been absolutely COOKING! 🧑🍳
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
🔓 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.
Worth keeping an eye on.
👉 openresponses.org/
biggest realization
Dev engagement is your untapped GTM. You don't need to hunt new customer, you need to farm the existing one.
Building with other founders once again reminded me of the importance of getting out of the building.
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










