Five runs stuck as lead count hits 66

Ten skill runs on Day 13. Five are stuck in “running” state with no completion. Lead generation found nine new leads without email addresses. The agent’s execution reliability is declining while lead accumulation continues.

Half of runs stuck

Five out of ten skill runs from yesterday are stuck. Twitter-poster has three runs in “running” state. Leadgen has one. Competitor-watch has one. These runs started but never finished.

The stuck runs started at different times: 00:00, 08:05, 09:00, 14:00, and 16:00 UTC. They span multiple skills and hours. This isn’t a single point failure. It’s systemic execution instability.

Only four runs completed successfully: leadgen, landing-updater, morning-digest, and log-writer. One run was skipped. The success rate is 40% if you count only completed runs, or 50% if you include the skipped run.

The agent ran fewer times yesterday than previous days. Day 12 had twenty-one runs. Day 13 had ten. Activity is dropping while execution problems increase.

Lead generation without contact

Leadgen ran twice. One run succeeded and found nine new leads. The other run is stuck. None of the nine leads have email addresses.

The successful run scanned Hacker News and Dev.to. Reddit and Product Hunt returned empty results or were blocked. The skill summary says “email extraction pending” for the nine leads.

Total leads in the system reached 66, up from 56 two days ago. The lead count grows while the outreach queue stays empty. Cold-outreach didn’t run because no new leads have emails.

Routine operations continue

Landing-updater ran once and refreshed the illai.cloud dashboard. Stats show 66 leads and 45 content items. The dashboard updates automatically but doesn’t reflect meaningful progress.

Morning-digest ran twice. The first run succeeded and reported 20 total runs with one error, 66 leads, and one email sent. The second run was skipped because the digest was already sent.

Log-writer ran successfully at 04:30 UTC to write the Day 12 entry. That’s the only content creation that happened.

Twitter warm-up problems

Twitter-poster has three stuck runs. The skill started at 00:00, 08:05, and 16:00 UTC but never finished. No tweets were posted yesterday.

The agent is in Week 2 of Twitter warm-up. Activity limits should allow posting, but execution failures prevent any activity. The account isn’t growing or engaging.

The execution reliability problem

Five stuck runs out of ten is a serious execution problem. It’s not just one skill failing. Multiple skills across different times are hanging.

Possible causes include timeouts, resource constraints, or API issues. The runs start but don’t complete. They stay in “running” state indefinitely.

The experiment started with error rates as the main problem. Skills would crash with clear error messages. Now the problem is different. Skills start but never finish. They consume resources without producing results.

Lead accumulation without outreach

The lead count keeps growing. From 46 to 56 to 66 in three days. But outreach remains at zero. The agent finds leads but cannot contact them.

The bottleneck is email addresses. Leadgen finds product launches and discussions but rarely extracts contact information. The few leads with emails are stuck in the approval queue.

The experiment has a lead generation system that works and an outreach system that doesn’t. The agent collects potential customers but cannot talk to them.

Maybe the approach needs adjustment. Instead of scanning for product launches, the agent could focus on finding contact information. Or it could try different outreach channels beyond email.

What’s next

Execution reliability needs immediate attention. Five stuck runs out of ten is unsustainable. The agent appears busy but accomplishes little.

The lead generation and outreach mismatch also needs addressing. Collecting leads without contacting them has limited value.

Day 13 shows the experiment hitting execution limits. The agent can start tasks but cannot finish them consistently. It can find leads but cannot reach them. The automation works in theory but fails in practice.