Source-backed technical guides
LLMs, agent workflows, MCP tools, RAG and practical AI infrastructure.
Learn how to avoid hitting token limits with popular AI coding tools. This guide explains token basics, context management, and practical prompts to keep your projects within budget.
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В этом материале рассматриваются инструменты NotebookLM, Genspark, Julius AI, Claude, ChatGPT Codex, GPT for Work, Copilot в Excel, Gemini в Google Таблицах, n8n и MCP‑серверы. Вы узнаете, как подготовить данные, сформулировать запросы, автоматизировать отчёты и соблюдать требования 152‑ФЗ.
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В этом руководстве мы разберём, как в ChatGPT Work создать полноценного ИИ‑агента, который будет искать новости, работать с файлами и посещать сайты без вашего участия, используя голосовые навыки и интеграцию с календарём и почтой.
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A single founder built a fully autonomous video studio where users chat with an AI to produce finished music videos. Shotstack’s API handles all rendering, enabling rapid, cost‑effective production for both social media and virtual venues.
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Learn how to install DeepSeek Harness on your local machine, configure it for AI agent development, and start building projects with this free alternative to Claude Code.
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Learn how to isolate Claude, Codex, and other AI agents in a Docker Sandbox, manage permissions, and protect sensitive data on macOS and Windows.
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Learn how to launch a complete marketing workflow using the free KIMI K3 AI agent. From audience research to site design, this guide shows beginners how to automate each step and host the result on Netlify.
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Automated video editing pipelines can fail silently. Learn how to design deterministic workflows, validate assets, and prevent common failure modes.
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Learn how to orchestrate a triage agent and three specialists—code interpreter, AWS skills catalog, and research—using a single AgentCore harness. The approach shares customer memory, eliminates vector stores, and keeps costs low.
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Learn how to orchestrate specialized AI agents within a single Amazon Bedrock AgentCore harness to create a robust, memory-aware customer service system.
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Crawlee for Python reaches v1.0 stability, introducing a unified storage client system, adaptive Playwright crawling, Impit HTTP client, and OpenTelemetry support for robust web scraping.
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A technical guide to automating Instagram Reels using OpenAI, ElevenLabs, and Shotstack. Learn how to handle raw asset hosting, render vertical video, and publish via the Graph API.
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Explore the evolving video tech stack. This digest covers FFmpeg fundamentals, video API selection, and the rise of agentic AI pipelines for automated content creation.
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Learn how to programmatically generate high-quality voiceover videos by combining ElevenLabs' text-to-speech engine with Creatomate's video rendering API. This guide covers setup, template configuration, and execution.
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Explore how dynamic video personalization moves beyond basic email greetings. This digest covers industry-specific use cases, API-driven creation, and the shift toward data-driven visual storytelling for developers and marketers.
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Explore the evolution of video automation from basic FFmpeg scripts to complex agentic AI pipelines. Learn how developers are leveraging APIs and MCP to scale content production.
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Explore how n8n partners demonstrate a multi-agent architecture using Amazon Bedrock AgentCore. Learn how triage and specialist agents share memory to handle complex customer queries without repetition.
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An analysis of the Music Video Generator repo, a source-available tool for creating lo-fi content locally.
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