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𝒥𝒶𝓋𝒾𝑒𝓇𝒶 𝒜.꣑ৎ
𝒥𝒶𝓋𝒾𝑒𝓇𝒶 𝒜.꣑ৎ
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Sunday 18 October 2026 20:24:52 GMT
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Vamooos meu povo 🤩 #malhacaovidasbrasileiras #michael #santiago #editsnovelas #novelasglobo #globo #globoplay #globonovelas #editsseries #seriesnetflix #devoltaaos15 #teenager
Vamooos meu povo 🤩 #malhacaovidasbrasileiras #michael #santiago #editsnovelas #novelasglobo #globo #globoplay #globonovelas #editsseries #seriesnetflix #devoltaaos15 #teenager


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et même parmi, quand tu seras éprouvé, tu vas voir qui sont tes vrais amis. #Allah #videoviraltiktok #rappels_islam #islamic_video #amis
et même parmi, quand tu seras éprouvé, tu vas voir qui sont tes vrais amis. #Allah #videoviraltiktok #rappels_islam #islamic_video #amis
AI agents explained: an LLM in a loop with tools. An LLM on its own only writes text. It can't open a file, run your tests, or push a commit. Tools are what turn that text into action — and the loop is what makes it an agent. One prompt. Eight tool calls: READ → GREP → EDIT → TEST → ✗ still failing → READ → EDIT → TEST → ✓ SHIP Watch the middle of the reel. The tests come back RED, that red result drops into the context stack, and the agent turns itself back to READ. Nobody scripted that order. The output of one tool call is what picks the next one — that's the whole idea. Two things people miss: → the model never runs anything. It emits a request, your runtime executes it and hands back the text. → nothing guarantees it stops. That's why there's a hard step cap in the corner — 12 MAX, then it stops. AI AGENT = LLM + TOOLS + A LOOP THAT READS RESULTS Cursor · LangChain · ReAct #trending #systemdesign #ai #aitools #softwarearchitecture 

AI agents explained: an LLM in a loop with tools. An LLM on its own only writes text. It can't open a file, run your tests, or push a commit. Tools are what turn that text into action — and the loop is what makes it an agent. One prompt. Eight tool calls: READ → GREP → EDIT → TEST → ✗ still failing → READ → EDIT → TEST → ✓ SHIP Watch the middle of the reel. The tests come back RED, that red result drops into the context stack, and the agent turns itself back to READ. Nobody scripted that order. The output of one tool call is what picks the next one — that's the whole idea. Two things people miss: → the model never runs anything. It emits a request, your runtime executes it and hands back the text. → nothing guarantees it stops. That's why there's a hard step cap in the corner — 12 MAX, then it stops. AI AGENT = LLM + TOOLS + A LOOP THAT READS RESULTS Cursor · LangChain · ReAct #trending #systemdesign #ai #aitools #softwarearchitecture 



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