<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Erpagi</title><description>AI &amp; Global Tech Intelligence — In-depth analysis on generative AI, SaaS infrastructure, and the tools shaping how we build and think.</description><link>https://erpagi.com/</link><item><title>Analysis of Claude API Free Tier Usage Limits: A Pricing Plan Selection Guide for Individual Developers in Korea</title><link>https://erpagi.com/blog/2026-11-05-claude-api-en/</link><guid isPermaLink="true">https://erpagi.com/blog/2026-11-05-claude-api-en/</guid><description>According to Anthropic&apos;s official pricing page, the Claude Free plan is $0 and available to all users. The free tier has limited usage applied every 5 hours and weekly, which is explicitly stated to be at a level lower than the baseline (1x) of paid plans. Please separately verify payment currency…</description><pubDate>Thu, 05 Nov 2026 05:40:39 GMT</pubDate></item><item><title>Claude API 무료 티어 사용량 제한 분석: 한국 개인 개발자를 위한 요금제 선택 가이드</title><link>https://erpagi.com/blog/2026-11-05-claude-api-ko/</link><guid isPermaLink="true">https://erpagi.com/blog/2026-11-05-claude-api-ko/</guid><description>Anthropic의 공식 가격 페이지에 따르면 Claude Free 플랜은 $0이며 모든 사용자에게 제공됩니다. 무료 티어는 5시간마다 및 매주 제한된 사용량(Limited usage)이 적용되며, 이는 유료 플랜의 기준치(1x)보다 낮은 수준으로 명시되어 있습니다. 결제 통화와 세금·청구서 조건은 최신 공식 안내와 계약 담당자에게 별도로 확인하세요.</description><pubDate>Thu, 05 Nov 2026 05:38:39 GMT</pubDate></item><item><title>Gemini Notebook (formerly NotebookLM): Source Limits and Overviews</title><link>https://erpagi.com/blog/notebooklm-official-sources-and-generated-overviews-workflow-en/</link><guid isPermaLink="true">https://erpagi.com/blog/notebooklm-official-sources-and-generated-overviews-workflow-en/</guid><description>Google renamed NotebookLM to Gemini Notebook while retaining it as a standalone research product that combines broader Google ecosystem integration with source-grounded answers.</description><pubDate>Thu, 05 Nov 2026 02:36:20 GMT</pubDate></item><item><title>Gemini Notebook(구 NotebookLM) 소스 한도와 오디오·비디오 개요 워크플로</title><link>https://erpagi.com/blog/notebooklm-official-sources-and-generated-overviews-workflow-ko/</link><guid isPermaLink="true">https://erpagi.com/blog/notebooklm-official-sources-and-generated-overviews-workflow-ko/</guid><description>Google은 NotebookLM의 이름을 Gemini Notebook으로 바꿨지만 독립형 연구 도구로 유지하며, Google 생태계 전반으로 쓰임새를 넓히고 있습니다. 이 도구는 사용자가 업로드한 소스에 기반하여 요약과 오디오/비디오 개요를 생성하는 워크플로를 제공합니다.</description><pubDate>Thu, 05 Nov 2026 02:20:20 GMT</pubDate></item><item><title>Google Search Central SEO Starter Guide Tutorial</title><link>https://erpagi.com/blog/google-search-central-seo-starter-guide-for-an-ai-tool-tutorial-en/</link><guid isPermaLink="true">https://erpagi.com/blog/google-search-central-seo-starter-guide-for-an-ai-tool-tutorial-en/</guid><description>This tutorial outlines the technical foundations of Google&apos;s search ecosystem, focusing on crawlability, rendering access, and page-level ranking signals as defined in official documentation.</description><pubDate>Thu, 05 Nov 2026 00:13:03 GMT</pubDate></item><item><title>Google Search Central SEO 스타터 가이드 튜토리얼</title><link>https://erpagi.com/blog/google-search-central-seo-starter-guide-for-an-ai-tool-tutorial-ko/</link><guid isPermaLink="true">https://erpagi.com/blog/google-search-central-seo-starter-guide-for-an-ai-tool-tutorial-ko/</guid><description>이 가이드는 Google Search의 SEO 핵심을 다룬다. Google은 주로 이미 크롤링한 다른 페이지의 링크를 통해 페이지를 찾으므로 크롤링 가능한 링크 구조가 중요하다. 기술 요구사항은 검색 결과 표시를 위한 최소 기준이며, Search Console과 URL Inspection Tool은 성능 모니터링과 페이지 확인에 도움을 준다. 랭킹 시스템은 페이지 수준에서 작동하도록 설계되었고, 변경 사항이 반영되기까지는 시간이 걸린다.</description><pubDate>Thu, 05 Nov 2026 00:07:03 GMT</pubDate></item><item><title>Claude Code Permissions and Settings for Solo Developers</title><link>https://erpagi.com/blog/claude-code-official-permissions-and-settings-workflow-for-a-solo-developer-en/</link><guid isPermaLink="true">https://erpagi.com/blog/claude-code-official-permissions-and-settings-workflow-for-a-solo-developer-en/</guid><description>Claude Code enforces its permission rules itself, not through the model, and reads settings from files whose scope decides who they apply to. A solo developer can use Manual mode to approve most actions before they run, block a tool with a deny rule that no other level can override, and check with…</description><pubDate>Wed, 04 Nov 2026 18:36:27 GMT</pubDate></item><item><title>솔로 개발자를 위한 Claude Code 권한 및 설정 워크플로우 분석</title><link>https://erpagi.com/blog/claude-code-official-permissions-and-settings-workflow-for-a-solo-developer-ko/</link><guid isPermaLink="true">https://erpagi.com/blog/claude-code-official-permissions-and-settings-workflow-for-a-solo-developer-ko/</guid><description>Claude Code는 터미널 중심의 에이전트 코딩 도구로, JSON 기반의 세분화된 권한과 범위가 적용된 설정을 통해 개발자가 도구 행동을 정밀하게 제어할 수 있습니다. 솔로 개발자는 Manual 모드로 작업을 실행 전에 승인하고, 거부 규칙과 설정 우선순위로 막을 것과 허용할 것을 정하며, /permissions로 각 규칙이 어느 파일에서 왔는지 확인할 수 있습니다.</description><pubDate>Wed, 04 Nov 2026 18:29:27 GMT</pubDate></item><item><title>Apple M4 MacBook Local LLM Inference: Architecture, Benchmarks, and Deployment Limits</title><link>https://erpagi.com/blog/apple-m4-macbook-ai-performance-local-llm-benchmark-en/</link><guid isPermaLink="true">https://erpagi.com/blog/apple-m4-macbook-ai-performance-local-llm-benchmark-en/</guid><description>The Apple M4 architecture delivers highly efficient local inference for quantized models up to 70B parameters through unified memory optimization and specialized neural processing units. While peak memory access reaches 120GB/s, scaling beyond this threshold introduces CPU routing bottlenecks that…</description><pubDate>Sun, 19 Jul 2026 22:38:43 GMT</pubDate></item><item><title>Cursor AI Pricing for Agencies and Outsourcing Teams: Monthly vs. Yearly Plans</title><link>https://erpagi.com/blog/2026-07-18-cursor-ai-vs-en/</link><guid isPermaLink="true">https://erpagi.com/blog/2026-07-18-cursor-ai-vs-en/</guid><description>This fact page details Cursor AI&apos;s pricing structure, highlighting the differences between monthly and yearly plans, and the specific features and benefits that are most relevant for agencies and outsourcing teams.</description><pubDate>Sat, 18 Jul 2026 05:30:43 GMT</pubDate></item><item><title>Cursor AI 팀 요금제 좌석당 가격: 5인 이하 스타트업이 알아야 할 것</title><link>https://erpagi.com/blog/2026-07-18-cursor-ai-seat-5-ko/</link><guid isPermaLink="true">https://erpagi.com/blog/2026-07-18-cursor-ai-seat-5-ko/</guid><description>Cursor AI는 팀 단위의 협업을 고려한 요금제를 제공하며, 팀 요금제는 사용자당 월 $40로 책정되어 있다. 이 요금제는 중앙 집중식 팀 청구 및 관리, 공유 팀 콘텍스트, 그리고 SAML/OIDC SSO 같은 고급 기능을 포함한다. 5인 이하 스타트업은 팀 요금제의 유연성과 기능성을 통해 효율적인 협업과 비용 관리가 가능하다.</description><pubDate>Fri, 17 Jul 2026 21:31:57 GMT</pubDate></item><item><title>NotebookLM Tutorial &amp; Research Study Guide for AI Learning Workflows</title><link>https://erpagi.com/blog/notebooklm-tutorial-research-study-ai-2025-en/</link><guid isPermaLink="true">https://erpagi.com/blog/notebooklm-tutorial-research-study-ai-2025-en/</guid><description>NotebookLM transforms static documents into interactive knowledge frameworks by anchoring insights to uploaded sources. Users benefit from structured outputs containing an average of 12 sections and over 45 sub-items, facilitating systematic study planning. However, baseline accuracy hovers around…</description><pubDate>Thu, 16 Jul 2026 02:48:38 GMT</pubDate></item><item><title>Cursor AI Setup Tutorial for Beginners in 2025</title><link>https://erpagi.com/blog/cursor-ai-setup-tutorial-beginners-2025-en/</link><guid isPermaLink="true">https://erpagi.com/blog/cursor-ai-setup-tutorial-beginners-2025-en/</guid><description>A comprehensive guide to installing Cursor IDE, configuring advanced .cursorrules parameters, leveraging automated agent workflows, and implementing essential security protocols for safe AI-assisted development in 2025.</description><pubDate>Wed, 15 Jul 2026 22:47:44 GMT</pubDate></item><item><title>Cursor AI IDE 2025 초보자 완벽 가이드: 설치부터 보안 검증까지</title><link>https://erpagi.com/blog/cursor-ai-setup-tutorial-beginners-2025-ko/</link><guid isPermaLink="true">https://erpagi.com/blog/cursor-ai-setup-tutorial-beginners-2025-ko/</guid><description>Cursor IDE는 2분 내 설치가 가능한 VS Code 기반 AI 네이티브 환경으로, .cursorrules 파일을 통해 응답 토큰을 최대 128,000까지 확장하고 코드 스타일을 강제할 수 있습니다. Agent 기능은 반복 작업을 줄이지만, 보안 취약점 및 레거시 시스템 한계를 고려해 정적 분석과 수동 검증을 병행해야 합니다.</description><pubDate>Wed, 15 Jul 2026 22:44:44 GMT</pubDate></item><item><title>Mastering Claude Projects for Enterprise Work Productivity</title><link>https://erpagi.com/blog/how-to-use-claude-projects-for-work-productivity-en/</link><guid isPermaLink="true">https://erpagi.com/blog/how-to-use-claude-projects-for-work-productivity-en/</guid><description>Claude Projects enables structured knowledge management through strict context boundaries and explicit API scoping. By leveraging project isolation and standardized workflows, organizations can achieve measurable efficiency gains while maintaining data security and computational stability across…</description><pubDate>Wed, 15 Jul 2026 09:22:33 GMT</pubDate></item><item><title>Perplexity AI vs ChatGPT vs Google Search: 성능과 신뢰성 비교 분석</title><link>https://erpagi.com/blog/perplexity-ai-vs-chatgpt-vs-google-search-comparison-ko/</link><guid isPermaLink="true">https://erpagi.com/blog/perplexity-ai-vs-chatgpt-vs-google-search-comparison-ko/</guid><description>AI 검색 도구는 전통 엔진 대비 정확도 68% 향상과 속도 3.5배 개선을 보였으나, citation 누락 시 오류율 41% 증가 등 신뢰성 관리가 필수적입니다. 플랫폼별 citation 제공 수와 API 한계를 고려해 목적에 맞게 선택해야 합니다.</description><pubDate>Wed, 15 Jul 2026 03:01:46 GMT</pubDate></item><item><title>Perplexity AI vs ChatGPT vs Google Search: A Data-Driven Comparison</title><link>https://erpagi.com/blog/perplexity-ai-vs-chatgpt-vs-google-search-comparison-en/</link><guid isPermaLink="true">https://erpagi.com/blog/perplexity-ai-vs-chatgpt-vs-google-search-comparison-en/</guid><description>AI search platforms now outperform traditional engines in speed and factual accuracy, yet citation reliability remains a critical vulnerability. Data indicates a 68% improvement in factual precision and a 3.5x faster response time compared to legacy systems. However, regulatory findings warn that…</description><pubDate>Wed, 15 Jul 2026 02:37:46 GMT</pubDate></item><item><title>How to Run Llama 3 Locally with Ollama on Mac and Windows</title><link>https://erpagi.com/blog/how-to-run-llama-3-locally-ollama-mac-windows-en/</link><guid isPermaLink="true">https://erpagi.com/blog/how-to-run-llama-3-locally-ollama-mac-windows-en/</guid><description>Running Llama 3 locally with Ollama offers a powerful solution for developers seeking privacy and control over their AI infrastructure. The process involves pulling the model via ollama pull llama3, where users can choose between 8B and 70B parameter sizes. For most consumer hardware, the Q4_K_M…</description><pubDate>Mon, 13 Jul 2026 22:53:54 GMT</pubDate></item><item><title>Cursor AI 팀 요금제: 1인 개발자가 알아야 할 무료 티어 사용량 제한</title><link>https://erpagi.com/blog/2026-07-14-cursor-ai-1-ko/</link><guid isPermaLink="true">https://erpagi.com/blog/2026-07-14-cursor-ai-1-ko/</guid><description>Cursor AI는 무료 및 유료 요금제를 제공하며, 무료 티어는 제한된 Agent 요청과 Tab 완성을 포함합니다. 1인 개발자는 자신의 사용 패턴에 따라 요금제를 선택해야 하며, 유료 요금제는 더 높은 사용 한도와 추가 기능을 제공합니다.</description><pubDate>Mon, 13 Jul 2026 21:32:01 GMT</pubDate></item><item><title>GitHub Copilot Pricing for Agencies and External Teams: Annual vs. Monthly Plans</title><link>https://erpagi.com/blog/2026-07-13-github-copilot-vs-en/</link><guid isPermaLink="true">https://erpagi.com/blog/2026-07-13-github-copilot-vs-en/</guid><description>This page provides a detailed breakdown of GitHub Copilot&apos;s pricing plans, focusing on the differences between annual and monthly billing cycles, and highlights the best value options for agencies and external teams managing multiple developers.</description><pubDate>Mon, 13 Jul 2026 12:30:45 GMT</pubDate></item><item><title>Strategic Comparison of Claude and OpenAI API Pricing &amp; Rate Limits for 2025 Deployments</title><link>https://erpagi.com/blog/claude-api-vs-openai-api-pricing-rate-limits-2025-en/</link><guid isPermaLink="true">https://erpagi.com/blog/claude-api-vs-openai-api-pricing-rate-limits-2025-en/</guid><description>Platform selection requires aligning workload characteristics with distinct pricing architectures and throttling frameworks. Organizations prioritizing massive prompt ingestion benefit from substantially lower input costs, while teams needing predictable throughput leverage automated tier upgrades…</description><pubDate>Mon, 13 Jul 2026 02:57:56 GMT</pubDate></item><item><title>Midjourney vs DALL-E 3 vs Stable Diffusion: A 2025 Technical Comparison</title><link>https://erpagi.com/blog/midjourney-vs-dall-e-3-vs-stable-diffusion-2025-en/</link><guid isPermaLink="true">https://erpagi.com/blog/midjourney-vs-dall-e-3-vs-stable-diffusion-2025-en/</guid><description>A technical breakdown revealing that Midjourney leads in upscaling capabilities beyond standard pixel limits, DALL-E 3 prioritizes safety compliance at the cost of strict API throttling, and Stable Diffusion&apos;s latest transformer models demand substantial hardware investment for local deployment.</description><pubDate>Fri, 10 Jul 2026 23:16:42 GMT</pubDate></item><item><title>ChatGPT vs Claude vs Gemini: The Best AI Assistant of 2025 Compared</title><link>https://erpagi.com/blog/2026-07-01-chatgpt-vs-claude-vs-gemini-best-ai-assistant-2025-en/</link><guid isPermaLink="true">https://erpagi.com/blog/2026-07-01-chatgpt-vs-claude-vs-gemini-best-ai-assistant-2025-en/</guid><description>The AI landscape has evolved, with ChatGPT, Claude, and Gemini emerging as top contenders for the best AI assistant in 2025. This comparison examines their strengths, weaknesses, and ideal use cases based on community insights and real-world performance metrics.</description><pubDate>Wed, 01 Jul 2026 04:30:05 GMT</pubDate></item><item><title>OpenAI ChatGPT o1 Reasoning Models: Performance, Constraints &amp; Strategic Deployment</title><link>https://erpagi.com/blog/openai-chatgpt-o1-reasoning-models-en/</link><guid isPermaLink="true">https://erpagi.com/blog/openai-chatgpt-o1-reasoning-models-en/</guid><description>The o1 reasoning models deliver unprecedented STEM accuracy through extended reinforcement learning deliberation but introduce substantial latency, elevated costs, and distinct failure patterns that restrict deployment to asynchronous analytical workflows rather than interactive consumer…</description><pubDate>Tue, 30 Jun 2026 10:25:20 GMT</pubDate></item><item><title>Cursor AI vs VSCode Alternatives: Performance, Privacy, and Enterprise Compliance Analysis</title><link>https://erpagi.com/blog/cursor-ai-vscode-alternatives-development-en/</link><guid isPermaLink="true">https://erpagi.com/blog/cursor-ai-vscode-alternatives-development-en/</guid><description>A comprehensive technical evaluation of Cursor AI alternatives reveals distinct trade-offs between performance optimization, data sovereignty, and enterprise compliance. Zed Editor delivers superior UI latency and memory efficiency through Rust architecture, while Continue.dev enables fully…</description><pubDate>Tue, 30 Jun 2026 09:55:25 GMT</pubDate></item><item><title>Claude 3.5 Sonnet Artifacts: Architecture, Latency, and Engineering Trade-offs</title><link>https://erpagi.com/blog/anthropic-claude-3-5-sonnet-artifacts-en/</link><guid isPermaLink="true">https://erpagi.com/blog/anthropic-claude-3-5-sonnet-artifacts-en/</guid><description>A cross-referenced technical brief on Anthropic&apos;s Artifacts capability in Claude 3.5 Sonnet, covering sandbox architecture, streaming protocol, benchmark pass-rates, latency percentiles, bundle-size failure thresholds, and prompt-engineering uplift metrics drawn from Anthropic documentation, AWS…</description><pubDate>Tue, 30 Jun 2026 01:24:12 GMT</pubDate></item></channel></rss>