SmartPerfetto Architecture Q&A

This article collects technical questions received after publishing From Trace to Insight: Harness Engineering in SmartPerfetto AI Agent and discusses them in Q&A format.

From Trace to Insight: Harness Engineering in SmartPerfetto AI Agent

This article documents the key technical decisions made while building SmartPerfetto from scratch – why certain approaches were chosen over others, where pitfalls were encountered, and how the design was adjusted afterward.

I’ve been using OpenClaw heavily on my local machine for a while now. At first, I treated it like any other AI tool. But after wiring it into Telegram, Obsidian, scheduled tasks, local models, and my content workflow, I realized I had it completely wrong. Its real power isn’t answering questions – it’s doing sustained work on your behalf. It can receive messages, call tools, run scheduled tasks, dispatch to different models, build long-term memory, write results back to Obsidian, and delegate complex tasks to other agents. If you’re only using it as a chatbot, you’re tapping maybe 20% of what it can do.