<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>The AI Edit</title><description>An engineering and AI publication by TubeSave exploring autonomous agents, multimodal media pipelines, local LLMs, and systems architecture.</description><link>https://ai.tubesave.cc/</link><language>en-us</language><item><title>The Architecture of Autonomous AI Agents: Memory, Tool Use, and Decision Loops</title><link>https://ai.tubesave.cc/blog/architecture-of-autonomous-ai-agents/</link><guid isPermaLink="true">https://ai.tubesave.cc/blog/architecture-of-autonomous-ai-agents/</guid><description>How modern autonomous agents move beyond simple prompt-response cycles into persistent memory, deterministic tool calling, and self-correcting execution waves.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Agentic AI</category><author>Alex Hayes</author></item><item><title>Multimodal AI Pipelines: High-Throughput Video Processing, Whisper Transcriptions, and Vector Indexing</title><link>https://ai.tubesave.cc/blog/multimodal-video-ai-audio-transcription-pipelines/</link><guid isPermaLink="true">https://ai.tubesave.cc/blog/multimodal-video-ai-audio-transcription-pipelines/</guid><description>Architecting high-scale multimodal pipelines: chunking media streams, GPU-accelerated Whisper diarization, frame embedding models, and hybrid semantic search.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Agentic AI</category><author>Alex Hayes</author></item><item><title>The Model Context Protocol (MCP) in Production: Architecture, Security, and Tool Servers</title><link>https://ai.tubesave.cc/blog/model-context-protocol-mcp-production-guide/</link><guid isPermaLink="true">https://ai.tubesave.cc/blog/model-context-protocol-mcp-production-guide/</guid><description>How the open Model Context Protocol standardizes LLM-to-tool integration, handles sandboxed process isolation, and enables modular agent capabilities.</description><pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate><category>Developer Tools</category><author>Alex Hayes</author></item><item><title>Slashing Inference Costs: Context Caching, Prompt Compression, and KV-Cache Reuse</title><link>https://ai.tubesave.cc/blog/context-caching-kv-cache-optimization-guide/</link><guid isPermaLink="true">https://ai.tubesave.cc/blog/context-caching-kv-cache-optimization-guide/</guid><description>How frontier caching architectures like vLLM PagedAttention, Anthropic Prompt Caching, and Gemini Context Caching drop LLM latency by 80% and inference bills by 75%.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>AI Infrastructure</category><author>Alex Hayes</author></item><item><title>Building Production LLM Pipelines with Structured Outputs and Evals</title><link>https://ai.tubesave.cc/blog/production-llm-pipelines-structured-outputs/</link><guid isPermaLink="true">https://ai.tubesave.cc/blog/production-llm-pipelines-structured-outputs/</guid><description>Why string-parsing prompts fail at scale, and how constrained grammar decoding, typed schema validation, and rigorous eval harnesses guarantee 99.9% reliability.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>LLMs &amp; Models</category><author>Alex Hayes</author></item><item><title>Fine-Tuning vs. RAG vs. 1M+ Long-Context: The 2026 Production Decision Matrix</title><link>https://ai.tubesave.cc/blog/fine-tuning-vs-rag-vs-long-context-decision-matrix/</link><guid isPermaLink="true">https://ai.tubesave.cc/blog/fine-tuning-vs-rag-vs-long-context-decision-matrix/</guid><description>An empirical decision framework for choosing between Retrieval-Augmented Generation, Parameter Fine-Tuning (LoRA), and massive context windows for enterprise AI applications.</description><pubDate>Wed, 07 Oct 2026 00:00:00 GMT</pubDate><category>LLMs &amp; Models</category><author>Alex Hayes</author></item><item><title>Local AI Engineering: Running DeepSeek and Llama on Developer Hardware</title><link>https://ai.tubesave.cc/blog/local-ai-engineering-deepseek-llama/</link><guid isPermaLink="true">https://ai.tubesave.cc/blog/local-ai-engineering-deepseek-llama/</guid><description>An architectural analysis of unified memory bandwidth, 4-bit quantization benchmarks, and privacy-first local agent runtimes on modern workstations.</description><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><category>Developer Tools</category><author>Alex Hayes</author></item><item><title>Multi-Agent Systems: Orchestrating Collaborative Swarms with WebMCP</title><link>https://ai.tubesave.cc/blog/orchestrating-multi-agent-workflows/</link><guid isPermaLink="true">https://ai.tubesave.cc/blog/orchestrating-multi-agent-workflows/</guid><description>Decomposing complex engineering challenges into coordinated specialist agents: coordinator patterns, message bus protocols, and conflict resolution.</description><pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate><category>Agentic AI</category><author>Alex Hayes</author></item><item><title>The Real Cost of AI Tokens: Optimization Strategies for High-Scale Apps</title><link>https://ai.tubesave.cc/blog/token-economics-optimization-strategies/</link><guid isPermaLink="true">https://ai.tubesave.cc/blog/token-economics-optimization-strategies/</guid><description>How high-throughput applications slash LLM bills by 85%: KV-cache reuse, semantic prompt caching, and context window compression.</description><pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate><category>AI Infrastructure</category><author>Alex Hayes</author></item></channel></rss>