Insights on AI agents, model routing, and building production-ready AI systems.
A tutorial-style cost breakdown of RAG pipelines: embedding, search, and LLM components. Real numbers for 1M documents, optimization strategies, and when RAG beats long-context (and when it doesn't).
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Deep dive into ByteDance's Seedream 5.0 Pro image generation model — two variants (Pro and Pro/Fast), text-to-image and edit capabilities, quality vs speed trade-offs, and practical use cases on SandBase.
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Detailed comparison of Seedream 5.0 Pro vs Pro/Fast — when each variant makes sense, cost at scale, edit mode differences, and hybrid strategies for production pipelines.
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Head-to-head comparison of Seedream 5.0 Pro, Qwen-Image-3, and Nano Banana on SandBase — quality, speed, cost, editing, and prompt following across real use cases.
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A deep architectural comparison of structured API access vs web scraping for AI agents consuming social media data in 2026. When each wins, what breaks, and how to choose.
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An engineering opinion piece on why synchronous-only design is the correct default for data APIs serving AI agents. Trade-off analysis, architecture implications, and when async is actually necessary.
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Deep dive into Alibaba's text-embedding-v4 — 8192 token context, CJK+English alignment, code-aware embeddings, architecture analysis, cost math, and real-world RAG scenarios with specific numbers.
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Practical comparison of three video generation modes — text-to-video, image-to-video, and reference-to-video — with cost, quality, and control trade-offs plus code examples.
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Build a Python agent that generates 5 scored video ad variants in 4 minutes for $1.25 — 160× cheaper than freelancer production. Full code with async polling, LLM scoring, and error handling.
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