gpt-image-2 Prompt Library: Technical Diagrams, Covers, and Visuals
Tested gpt-image-2 prompts for technical diagrams, infographics, editorial covers, miniature scenes, logos, and knowledge cards, organized by use case.
33 posts, page 2 of 4.
Tested gpt-image-2 prompts for technical diagrams, infographics, editorial covers, miniature scenes, logos, and knowledge cards, organized by use case.
Tested gpt-image-2 prompts for editorial covers, miniature product scenes, technology posters, concept logos, and botanical knowledge cards.
Tested gpt-image-2 prompts for turning architecture notes, technical mechanisms, and Mermaid flows into readable technical diagrams and infographics.
How a repeated blog image workflow became two reusable npm CLI tools: tinify-cli for compression and imgasset for AI generation, raw asset storage, compression, and publishing.
A reflection on why Astro fits content-driven static sites, based on recent website projects, a blog migration from Hexo to Astro, and comparisons with Hugo, Eleventy, VitePress, Docusaurus, and Next.js.
A reflection on Bun's move toward Rust, a small SolidJS-to-Vue migration, and why technical choices in the AI era are becoming less like permanent bets and more like decisions that can be revised.
Marginal cost is the cost of serving one more unit. AI adds inference, tokens, GPU time, and tool calls to each request, changing software unit economics.
A personal reflection on why I built ChooseFIRE, and how a simple calculator can make income, spending, savings rate, returns, and personal freedom easier to reason about.
Configure the DeepSeek API in SillyTavern step by step with the built-in provider or an OpenAI-compatible connection, without a local GPU.
A reflection on why AI changes the cost-benefit balance of frontend-backend separation, and why product-layer full stack should become the default for many projects.