My OpenClaw Agents Are Lazy | Open SaaS Lab Day 9 скачать в хорошем качестве

My OpenClaw Agents Are Lazy | Open SaaS Lab Day 9

If your OpenClaw agents feel “lazy” and aren’t finishing work, this is probably not a model problem. It’s a system design problem. In this video, I break down why agents drift instead of ship — and the architectural changes I made to bias my OpenClaw system toward completion instead of activity. Common symptoms: • Tasks stuck in “In Progress” • Heartbeats firing but nothing shipping • Agents discussing instead of executing • Tokens burning without real output What I cover: • Why agents default to drift • The “Complete One Task Per Heartbeat” rule • Deterministic task states in Notion • Tight due-date constraints for production work • Using a dedicated project manager agent (Maven) • Structured SOPs vs free-form instructions • How heartbeat design changes behavior • Why standardized tools prevent stalling • Model selection tradeoffs (Sonnet vs Haiku) • Reducing ambiguity to reduce token burn The core principle: define what “Done” means, enforce it, and design your system around completion. This is part of my attempt to run a fully automated SaaS using a 10-agent OpenClaw team working on a niche SEO product called Linkbot. If you’re building multi-agent systems and want them to actually produce deliverables — not just status updates — this breakdown should help. If there’s interest, I can do a deep dive into the exact config files and workspace structure in a follow-up. Subscribe if you’re interested in real-world OpenClaw architecture, execution systems, and transparent experimentation.