One prompt framework for four AI video models. Learn the 8-layer template, then adapt it to the unique controls of Runway Gen-4.5, Kling 3.0, Veo 3.1, and Seedance 2.0.
A practitioner''s image to video AI prompt guide covering the 5-element template framework, model-specific strategies for Runway Gen-4.5, Kling 3.0, Veo 3.1, and Sora 2.0, plus scene-by-scene prompt templates and common pitfalls.
Twelve design decisions explain why OpenClaw looks the way it does — and what each one cost. Single process. Files as truth. Deterministic routing. Each one trades clever for legible. The trade is the point.
Context is the agent's working space. It is also the agent's biggest cost. Compaction trims the conversation; pruning trims the tool output. Get the dials wrong and you pay 5x for an agent that feels confused.
An agent is a directory, not a model. OpenClaw workspace files give it identity, behavior, memory, tools, and routines. Copy the folder plus runtime state and you've cloned the agent. Edit a file and you've changed who it is.
Most agent demos exist for under 20 minutes a day. A real AI agent runtime gives a model three things a chat tab can't: a 24/7 process, persistent memory, and multi-channel inbound.
I tested SerpAPI, Serper, Google Custom Search, Tavily, Exa, and Brave for my AI agents — then deleted five of them. Brave wasn't the cheapest. It was the only one that owned its index, treated privacy as an engineering constraint, and shipped an AI-native LLM Context API. Here's the three-axis test
Six months of breakage, 40+ production-grade Skills, and a 78,000-word internal spec compressed into one 30,000-word read. Beginner to designing your own toolchain — start here.
Claude Code ships blind — no context gauge, no quota counter. I built a 7-segment statusline and baked in a 50% context handoff rule, backed by Lost-in-the-Middle research. Every segment, every color rule, and the full production script explained.
I built 8 Claude Code Skills in three months. 5 still live on my machine. 3 are deleted. Full SKILL.md snippets for the survivors, honest post-mortems on the rest, and the 5-gate decision tree I use before building the next one.
