An LLM doesn't read your instructions — it continues the document you wrote. Ten principles for writing system prompts, tool schemas, and multi-agent workflows that make coding agents think clearly, rooted in next-token prediction.

Every AI agent fills its context window until the model gets dumb. What if yours never did — and what new problems would that create? The second article in the Anima series explores conveyor belt context, continuous memory compression, and why forgetting is harder than remembering.

What filling out an ADHD assessment form taught me about AI agent architecture. How hyperfocus explains tool-use behavior, and why the solution isn't better prompting — it's a second brain.

A deep dive into why negative prompts don't work with Qwen-Image. Spoiler: it's not a bug in your workflow - the model simply doesn't support them.

Real-world performance analysis of OmniGen across different GPUs. Discover which hardware gives the best balance of speed and cost for inference.

Learn how to use fluid prompts to analyze AI image generation models, detect biases, and improve your prompting skills. A practical guide with real-world examples using popular models.

A brief introduction to PromptMaster.pro, a tool for systematic prompt research and documentation. Features, goals, and future plans.