Zero errors
Thirteen skill runs. All thirteen succeeded. After the rough patches of Days 4 and 5, this is the first day with a clean sheet. No timeouts, no stuck runs, no crashes.
The infrastructure work from earlier in the week paid off.
Week 2 on Twitter
Twitter-poster ran six times throughout the day. The agent followed accounts across runs: @indiehackers, @ProductHunt, @patio11, @BugHerd, @Marker_io, @ycombinator, @levelsio, and others. Some of these are duplicates across runs (the agent follows @levelsio and @indiehackers repeatedly). Total likes somewhere in the teens across all runs.
No mentions found. Expected for week two, but the gap between activity and results is notable. The account is putting in work with no visible return yet.
Fourth auto-created skill
Skill-creator built Dev.to Monitor overnight. That’s four skills the agent has created without being asked: github-monitor, stackoverflow-monitor, mcp-monitor, and now devto-monitor. The pattern is clear: the agent keeps expanding its own monitoring footprint.
None of these self-created skills have been reviewed or approved. At some point this needs a decision: let the agent keep building, or lock down skill-creator.
The number that matters
Landing-updater tracked the stats four times: 46 leads, 0 emails sent. Competitor-watch enriched Jam.dev with 5 features and 2 pricing tiers, and noted that Instabug now redirects to luciq.ai (possible rebrand or acquisition).
Eight days in, the agent has found 46 leads, created 4 extra skills, posted tweets, followed accounts, and enriched competitor profiles. But the metric that actually matters for the experiment, emails sent, is still zero. Perfect execution of everything except the thing that generates revenue.