
Lautaro Gesuelli
@lgesuelli_p
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working on the ai spectrum https://t.co/DisHC3Jcvq | building https://t.co/SXH5HqME8a 🇦🇷 | professor
Argentina
Joined September 2021
Lineup for our next event. Thanks to all the applicants and speakers 🔥🔥 .
The next LLMNative BA Community Hour will be on July 11, co-hosted with @lemonapp_ar ! Join this meetup for AI engineers and enthusiasts who build products with LLMs—come meet, mingle, and share your experiences.
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With @TryArcade + @LangChainAI , that’s all possible. Users don’t need to deploy servers or deal with configs. No hardcoded tokens, no risky URLs — just simple, secure AI for everyone.
One of our builders just shipped this: WhatsApp messages that create real Google Calendar events. One-click auth, then your agent acts as you - not some bot with admin privileges. The whole setup? Under 2 minutes. This is the difference between "AI that suggests" and "AI that
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The next LLMNative BA Community Hour will be on July 11, co-hosted with @lemonapp_ar ! Join this meetup for AI engineers and enthusiasts who build products with LLMs—come meet, mingle, and share your experiences.
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RT @dsp_: We released a new MCP specification: 2025-06-18. It contains a lot of improvements over the previous version: We improved how au….
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RT @lgesuelli_p: @mercadopago releasing a remote mcp is a good decision to avoid users having to handle deployment themselves. Even though….
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i think we should merge our repo with this one @sgviera. @sydneyrunkle , it's the same idea, right?.
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Build for agents. @karpathy .
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RT @chu_onthis: if you are building an mcp server, please for the love of god remember that you have 3 users: (1) the model (2) the client….
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RT @IvannaAFigueroa: Just few people realize how game-changer this is — until it clicks!.Orchestration isn’t just coordination, it’s how we….
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RT @GitMaxd: These guys are building @LangChainAI LangGraph Dynamic Graphs and caching to choose between 1000+ available MCP Servers as too….
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Imagine having thousands of tools, MCPs, and agents. Built in just a few hours—hackathon magic.
While exploring the new MCP-as-apps paradigm, my team and I hit a key challenge: with thousands of tools available, how does an agent reliably pick the right one for the task?. To tackle this, we built dynamic graphs using LangGraph (@LangChainAI ), powered by a retrieval system.
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Orchestration enables a future where AI agents truly know you. Thanks for sharing this @Calclavia ! We explored the same vision just a few days ago, creating a proof of concept for a foundation to organize the chaos on Whatsapp. We built a platform that empowers everyone with AI
The future of the internet will be dominated by tool calls, not clicks. We're building Smithery to orchestrate this new era of AI-native services for AI agents. Read our mission 👇
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The biggest opportunity in AI is enabling agents to take real-world action. This means securely deploying them with authenticated access to the tools and data users actually rely on. Traditional approaches work fine for single-user demos but quickly break down when your AI needs
We want to empower every user with AI. One whatsapp number, infinite possibilities. From checking your email to planning trips, setting routines, managing nutrition, paying bills, sending invoices, and never missing a reminder. All in one simple chat that learns what you need.
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