Bridge Trace: Why Execution Should Be Planned Before Calling SketchUp
Explains why live SketchUp execution should be preceded by an inspectable, testable, replayable bridge trace.
Tags
Browse public writing, projects, tutorials, notes, and demos by topic.
- agent-architecture 8
- agent-workflow 4
- AI 1
- AI safety 1
- AI terms 2
- AI tools 3
- AI workflow 12
- ai-coding-cli 1
- ai-design-tools 12
- astro 1
- automation 1
- beginner guide 18
- cad 8
- CLI 2
- cloudflare 1
- codex 18
- designer-workflow 1
- developer workflow 1
- domain 2
- glossary 1
- independent site 9
- local preview 1
- mcp 9
- minimax 1
- opencode 1
- ownership 1
- personal publishing 2
- personal site 1
- playground 1
- portfolio 1
- practical AI use 1
- pricing 1
- privacy 4
- product-research 1
- prompt 1
- publishing 4
- qwen-code 1
- sanity 1
- sketchup 4
- sketchup-agent-harness 8
- social media 1
- source-of-truth 2
- static hosting 2
- trust 1
- website cost 1
- workflow 2
Recent tagged content
Recent tagged content
How Codex Can Drive Verifiable SketchUp Modeling
An architecture walkthrough explaining how Codex or another agent CLI can use runtime skills, an MCP server, a SketchUp Ruby bridge, and a structured design model to turn natural-language intent into verifiable project state.
Why design_model.json Has to Come Before the SketchUp Scene
Explains why the SketchUp scene is an execution view while the structured design model is better for agent reasoning, validation, repair, and replay.
Headless Smoke, Live Bridge, and Installed Packages: How to Verify an Agent Harness
Explains why an agent harness needs headless smoke, live bridge checks, release smoke, and installed package verification.
From MCP Server to Ruby Bridge: Turning Natural Language into Executable SketchUp Operations
Explains how the MCP server, execution trace, JSON-RPC, Ruby bridge, and feedback loop turn natural language into executable operations.
Making Imports Repairable: From Source Evidence to Working Truth
Explains why plan import should preserve source evidence and generate repairable working truth instead of promising perfect recognition.