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Each fix, its command and why it saves tokens.</description><category>Claude Code</category><dc:creator>Karam Hawash</dc:creator></item><item><title>When should an AI agent hand off to a human?</title><link>https://genovaflow.ai/blog/when-ai-agent-hands-off-to-human/</link><guid isPermaLink="true">https://genovaflow.ai/blog/when-ai-agent-hands-off-to-human/</guid><pubDate>Fri, 20 Mar 2026 05:00:00 +0000</pubDate><description>Hand off when the agent keeps failing, when an action is risky or cannot be undone, or when the customer asks. 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How Meta's 24 hour window, templates and pricing shape that agent.</description><category>AI Agents for Business</category><dc:creator>Karam Hawash</dc:creator></item><item><title>AI voice agent vs a human receptionist: the cost math</title><link>https://genovaflow.ai/blog/ai-voice-agent-vs-receptionist-cost/</link><guid isPermaLink="true">https://genovaflow.ai/blog/ai-voice-agent-vs-receptionist-cost/</guid><pubDate>Wed, 04 Feb 2026 05:00:00 +0000</pubDate><description>A US receptionist costs about $55,330 a year with benefits; a voice agent bills $0.14 to $0.17 a minute. 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Every command checked against the official docs.</description><category>n8n Automation</category><dc:creator>Karam Hawash</dc:creator></item><item><title>Brain chips and BCIs: what has happened and what is speculative</title><link>https://genovaflow.ai/blog/ai-brain-chips/</link><guid isPermaLink="true">https://genovaflow.ai/blog/ai-brain-chips/</guid><pubDate>Fri, 18 Jul 2025 05:00:00 +0000</pubDate><description>Brain computer interfaces today: peer reviewed speech results, Neuralink and Synchron trial milestones with dates, and the claims that are still plans.</description><category>AI Explained</category><dc:creator>Karam Hawash</dc:creator></item><item><title>Build a Gemini Voice Agent for Telegram in n8n</title><link>https://genovaflow.ai/blog/n8n-gemini-telegram/</link><guid isPermaLink="true">https://genovaflow.ai/blog/n8n-gemini-telegram/</guid><pubDate>Thu, 17 Jul 2025 05:00:00 +0000</pubDate><description>An n8n Telegram bot that transcribes voice notes with Gemini, answers with Gmail and Sheets tools and replies by voice, updated for current Gemini models.</description><category>n8n Automation</category><dc:creator>Karam Hawash</dc:creator></item><item><title>How large language models differ, and what to compare</title><link>https://genovaflow.ai/blog/llm-differences/</link><guid isPermaLink="true">https://genovaflow.ai/blog/llm-differences/</guid><pubDate>Wed, 25 Jun 2025 05:00:00 +0000</pubDate><description>Context window, reasoning effort, tool use, input types and price per token: how LLMs from Anthropic, OpenAI and Google differ, from their own pages.</description><category>AI Explained</category><dc:creator>Karam Hawash</dc:creator></item><item><title>Where AI is heading: what the data shows and what is forecast</title><link>https://genovaflow.ai/blog/ai-next-future/</link><guid isPermaLink="true">https://genovaflow.ai/blog/ai-next-future/</guid><pubDate>Fri, 20 Jun 2025 05:00:00 +0000</pubDate><description>Where AI is heading, from dated reports: Stanford's AI Index, Epoch AI, METR and the IEA. 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The layers, the loss and the 1986 method.</description><category>AI Explained</category><dc:creator>Karam Hawash</dc:creator></item><item><title>n8n vs Zapier vs Make for AI workflows, and where Claude Code fits</title><link>https://genovaflow.ai/blog/ai-automation-tools/</link><guid isPermaLink="true">https://genovaflow.ai/blog/ai-automation-tools/</guid><pubDate>Mon, 28 Apr 2025 05:00:00 +0000</pubDate><description>How n8n, Zapier and Make price AI workflows, what n8n's license lets you self host, and when a coded agent like Claude Code is the better tool.</description><category>n8n Automation</category><dc:creator>Karam Hawash</dc:creator></item><item><title>RAG explained: how retrieval works and when to use it</title><link>https://genovaflow.ai/blog/rag/</link><guid isPermaLink="true">https://genovaflow.ai/blog/rag/</guid><pubDate>Mon, 28 Apr 2025 05:00:00 +0000</pubDate><description>Retrieval augmented generation finds the right passages and puts them in the prompt. 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