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@fundacionjugarrecreacion: Coordinación, agilidad y trabajo en equipo en un solo reto 🤓😅 Guarda esta idea para tus próximas actividades con grandes y chicos #recreación #retosdivertidos #escuela #dinámicas #recreacioninfantil

Funjugar
Funjugar
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Region: CO
Tuesday 21 July 2026 16:13:49 GMT
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jose.maria9805
Jose Maria :
miren que puntería de la niña
2026-08-11 21:28:48
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grisales.47
𝒮 🥷🏼⚡ :
Luciana y Juan Diego
2026-08-01 23:14:30
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Jajaj juandiego
2026-07-31 15:27:51
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Ein Mädchen, das selbst auf Polizeifotos wunderschön ist.##modernfamily #haley #haleydunphy #mdfy #tvshow
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API vs MCP — which one actually connects your AI? This is the number one thing that turns a chatbot into an actual agent: tools. Your AI can think brilliantly — but in that chat window it can't touch anything. It writes the perfect email, then tells YOU to go send it. APIs and MCPs are the two ways to hand it tools. Here's the difference, plainly: An API is the platform's raw plug — the official, rock-solid way to reach everything the app can do. Built for programmers originally, but no-code automation tools already did the hard part: every built-in app block on an automation canvas IS an API, pre-wired. Click, log in, connected. (No block for your app? There's a simple thing called an HTTP request — your first one takes an afternoon, not a degree.) An MCP is the same plug with a menu attached: the platform describes its own tools in plain language, and your AI reads the menu, picks the tool, fills it in, fires. Built for agents — a thinking AI choosing its own next move. The rule of thumb that carries you a long way: automations run on APIs (24/7, same flow, rock steady). Agents talk through MCP (the big platforms ship them now — log in, grant access, minutes). Connect a couple of real accounts this week — one automation on the blocks, one agent with a menu — and you stop chatting ABOUT your work and start handing it over. Big stuff still waits for your yes. #aiagent #mcp #api #aiautomation
API vs MCP — which one actually connects your AI? This is the number one thing that turns a chatbot into an actual agent: tools. Your AI can think brilliantly — but in that chat window it can't touch anything. It writes the perfect email, then tells YOU to go send it. APIs and MCPs are the two ways to hand it tools. Here's the difference, plainly: An API is the platform's raw plug — the official, rock-solid way to reach everything the app can do. Built for programmers originally, but no-code automation tools already did the hard part: every built-in app block on an automation canvas IS an API, pre-wired. Click, log in, connected. (No block for your app? There's a simple thing called an HTTP request — your first one takes an afternoon, not a degree.) An MCP is the same plug with a menu attached: the platform describes its own tools in plain language, and your AI reads the menu, picks the tool, fills it in, fires. Built for agents — a thinking AI choosing its own next move. The rule of thumb that carries you a long way: automations run on APIs (24/7, same flow, rock steady). Agents talk through MCP (the big platforms ship them now — log in, grant access, minutes). Connect a couple of real accounts this week — one automation on the blocks, one agent with a menu — and you stop chatting ABOUT your work and start handing it over. Big stuff still waits for your yes. #aiagent #mcp #api #aiautomation
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