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Jev classification scores 700 Gojiberry outreach messages for performance and mismatch

Author: Romàn

Classification

Romàn

Classify this use case

  • Classification1.00
  • Shipped0.78
  • Measured0.99
  • Usefulness0.60
  • Community post1.00
  • Ready0.96
  • Specific case0.59
  • Copy quality0.54
  • Creativity0.80
  • Distinct intent0.91
Cost
$0.09
Latency
40 seconds for 700 leads
Result
700 leads scored for message performance and mismatch

Ask Jev how each personalised outreach message would perform, and whether it mismatches the lead.

Ask Jev how each personalised outreach message would perform, and whether it mismatches the lead.

Romàn's tweet is a Gojiberry Jev pass on 700 high-intent leads. The follow-up says the video is a concept preview, not product footage. The product is https://gojiberry.ai. Distinct from SuperX, which scores a draft post, and from StealAds, which labels live ads.

The published pass predicted message performance, assigned a confidence score, and detected lead-message mismatches. It did not send the messages. The tweet also lists later jobs such as scoring leads and matching a prospect to a message. Those stay off this pass. The Jev integration is coming soon to GojiberryAI and an MCP.

The tweet prints 40 seconds and $0.09 for 700 leads. It does not print an accuracy figure, so the metric row keeps those totals.

How it works

  1. Load 700 high-intent leads and personalised outreach messages
  2. Ask Jev how each message would perform, and whether it mismatches the lead
  3. Keep the confidence score with those answers
  4. Ship the same pass in GojiberryAI and an MCP