https://aiworkbench.dev/articles Deep-dive technical articles on LLM performance, cost optimization, prompt engineering, and zero-backend AI architecture. en-us Sat, 16 May 2026 17:38:11 GMT https://aiworkbench.dev/articles/optimizing-ttft-nextjs https://aiworkbench.dev/articles/optimizing-ttft-nextjs Time to First Token TTFT is the single most important latency metric for streaming AI interfaces. It measures the delay between sending a prompt and receiving the first chunk of the response. For a br Sun, 05 Apr 2026 00:00:00 GMT https://aiworkbench.dev/articles/multi-provider-cost-analysis https://aiworkbench.dev/articles/multi-provider-cost-analysis Not all tokens cost the same. A prompt that costs $0.50 on Claude might cost $0.08 on Gemini or $0.03 on DeepSeek. The challenge is knowing which model to reach for without sacrificing quality. The Pr Tue, 07 Apr 2026 00:00:00 GMT https://aiworkbench.dev/articles/local-first-architecture https://aiworkbench.dev/articles/local-first-architecture Why does every AI tool want your API keys? The default architecture is: user → proxy server → provider API. The proxy sees everything: your keys, your prompts, your business logic. We built AIWorkbenc Thu, 09 Apr 2026 00:00:00 GMT https://aiworkbench.dev/articles/prompt-engineering-cot-vs-fewshot https://aiworkbench.dev/articles/prompt-engineering-cot-vs-fewshot Two techniques. One goal: make the model think before it speaks. Most prompts fail not because the model is dumb, but because the instructions are ambiguous. Chain-of-Thought CoT and Few-Shot promptin Sat, 11 Apr 2026 00:00:00 GMT https://aiworkbench.dev/articles/claude-extended-thinking-guide https://aiworkbench.dev/articles/claude-extended-thinking-guide Claude 3.7 Sonnet's extended thinking mode is a superpower — but it comes with a token tax. Anthropic's Claude models support an "extended thinking" feature where the model performs internal reasoning Mon, 13 Apr 2026 00:00:00 GMT https://aiworkbench.dev/articles/gpt4o-vs-claude35-code https://aiworkbench.dev/articles/gpt4o-vs-claude35-code The two best coding models, head to head. If you write code with AI, you have probably toggled between GPT-4o and Claude 3.5 Sonnet. Both are excellent, but they excel in different coding domains. Her Wed, 15 Apr 2026 00:00:00 GMT https://aiworkbench.dev/articles/reading-streaming-metadata https://aiworkbench.dev/articles/reading-streaming-metadata Every token comes with a receipt. Learn how to read it. When you stream a response from an LLM, the provider sends more than just text. Hidden in the Server-Sent Events SSE stream is metadata that rev Fri, 17 Apr 2026 00:00:00 GMT https://aiworkbench.dev/articles/deepseek-v3-guide https://aiworkbench.dev/articles/deepseek-v3-guide The best-kept secret in LLM pricing just became your competitive advantage. DeepSeek V3 is a 671-billion-parameter mixture-of-experts model released by Chinese AI lab DeepSeek. At $0.07 per million in Mon, 20 Apr 2026 00:00:00 GMT https://aiworkbench.dev/articles/context-windows-guide https://aiworkbench.dev/articles/context-windows-guide Bigger is not always better. Learn when 128K, 200K, or 2M tokens actually matter. Every LLM has a context window — the maximum number of tokens it can process in a single request. But context windows Wed, 22 Apr 2026 00:00:00 GMT https://aiworkbench.dev/articles/prompt-caching-deep-dive https://aiworkbench.dev/articles/prompt-caching-deep-dive The difference between "saving 90%" and "saving 0%" is in the implementation details. Prompt caching is the single most impactful cost optimization for production LLM applications. But Anthropic and G Sat, 25 Apr 2026 00:00:00 GMT https://aiworkbench.dev/articles/api-key-security-setup https://aiworkbench.dev/articles/api-key-security-setup Your API key is a master password. Treat it like one. Every major LLM provider requires an API key. Managing these keys safely is the difference between a secure AI workflow and a compromised account. Tue, 28 Apr 2026 00:00:00 GMT