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The AI Scientist Architecture: LLM Planners That Generate Hypotheses and Dispatch Experiments (2026)

The AI Scientist Architecture: LLM Planners That Generate Hypotheses and Dispatch Experiments (2026)

Posted by By MPRAUTO MPRAUTO July 12, 2026Posted inTechNo Comments
How an AI scientist works: an LLM planner that generates hypotheses, decomposes goals, calls simulators and tools, dispatches to a lab, and verifies results — with memory and guardrails.
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MCP Server Security Architecture: Defending Model Context Protocol Tools (2026)

MCP Server Security Architecture: Defending Model Context Protocol Tools (2026)

Posted by By MPRAUTO MPRAUTO July 10, 2026Posted inSecurityNo Comments
MCP server security architecture: tool poisoning, indirect prompt injection, OAuth 2.1, sandboxing, least privilege, and a defense-in-depth model for Model Context Protocol.
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Context Engineering for Production LLM Agents (2026)

Context Engineering for Production LLM Agents (2026)

Posted by By MPRAUTO MPRAUTO June 6, 2026Posted inAINo Comments
Context engineering patterns for production LLM agents in 2026 — retrieval, compaction, memory tiers, tool-result pruning, and what breaks at long horizons.
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LLM Agent Memory Architecture for Production (2026)

LLM Agent Memory Architecture for Production (2026)

Posted by By MPRAUTO MPRAUTO May 24, 2026Posted inAINo Comments
LLM agent memory architecture for production — short-term, long-term, and episodic memory patterns, retrieval, decay, and where they break.
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Claude Skills Architecture: Dynamic Capability Injection for LLM Agents

Claude Skills Architecture: Dynamic Capability Injection for LLM Agents

Posted by By MPRAUTO MPRAUTO April 23, 2026Posted inAINo Comments
How Anthropic Claude Skills inject narrow, on-demand capabilities into production LLM agents without bloating the system prompt. Architecture, patterns, trade-offs.
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Claude Computer Use Architecture: How LLM Agents Actually Control a Desktop in 2026

Claude Computer Use Architecture: How LLM Agents Actually Control a Desktop in 2026

Posted by By MPRAUTO MPRAUTO April 19, 2026Posted inAINo Comments
Deep dive into LLM computer-use agents — screenshot pipelines, coordinate prediction, action tools, safety tiers, and why desktop control is hard.
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