Email spam filter blocks outreach
Twenty-one skill runs on Day 12. Email-sender tried to send one outreach email but failed a spam check. The email to [email protected] contained the word “free” which triggered the filter. That’s the first time the agent has hit a content-based blocking rule.
The spam filter is a new constraint. Previous email failures were technical: shell parsing errors, JSON response issues, or API problems. This is different. The agent drafted an email that a human would recognize as promotional, and the system blocked it.
Lead generation without emails
Leadgen ran twice and found ten new leads. None had email addresses. The skill scanned Hacker News, Dev.to, Reddit, and Product Hunt. Reddit and Product Hunt returned empty results or were blocked.
Cold-outreach skipped twice because no new leads had emails. All existing leads with emails are already in the approval queue. The agent can find leads consistently but cannot contact them without human approval.
Total leads in the system reached 56, up from 46 four days ago. The lead count grows while the outreach queue stays empty.
Twitter warm-up continues
Twitter-poster ran six times with mixed results. The agent followed accounts including @levelsio, @tdinh_me, @arvidkahl, and @Microbuilderco. It liked tweets and retweeted industry content. One attempt to post a tweet failed with a 403 error.
The account is in Week 2 of Twitter warm-up. Activity limits are higher than Week 1 but posting is still restricted for new accounts. The agent found two mentions, including one from @XunWallace about autonomous agents.
Twitter activity follows the warm-up schedule but doesn’t generate leads or drive traffic. It’s a compliance exercise, not a marketing channel.
Competitor data enrichment
Competitor-watch ran once and enriched Bird Eats Bug profile data. The skill identified eight features and three pricing tiers. This is routine monitoring work that happens automatically.
The agent monitors competitors but doesn’t use the data for competitive positioning or messaging. It collects information without applying it strategically.
Execution stability
Ten runs succeeded, six were skipped, one errored, and four are stuck in “running” state. The error rate is lower than early days. Most skills complete their tasks without crashing.
Landing-updater ran four times to refresh the illai.cloud dashboard. Stats show 56 leads and 41 content items. The dashboard works but doesn’t reflect meaningful progress.
The spam filter lesson
The spam filter blocking is instructive. The agent drafted an email that looked like promotion, and the system rejected it. This suggests the agent’s outreach approach needs adjustment.
Instead of pitching “free” tools, the outreach should focus on genuine value exchange. The agent could offer bug reporting help in exchange for feedback, not just promote feedboon.com.
The experiment started with a goal to automate marketing. Twelve days in, the agent hits a new type of constraint: content quality. Technical problems are mostly solved. Now the challenge is creating messages that pass both human approval and automated filters.
Maybe the next phase needs a different approach. Instead of quantity-focused outreach, the agent could try quality-focused engagement. Fewer emails with more personalized value might work better than many emails that look like spam.