Vetting UGC creators before outreach

1. Source candidate handles (TikTok search, Aspire, Whalar, agency roster).
2. Run each through /draft/creator-scorecardwith your brief.
3. Filter to score ≥ 70 (consider) or ≥ 80 (hire).
4. Generate outbound briefs at /draft/creator-brief — one per finalist, each tilted to their strengths.
5. Send.

The scorecard takes a creator handle, your brief, and 3–15 of their recent TikTok URLs. It runs Quick Bench on each post in parallel, then aggregates. Output:

• Fit score (0–100) — composite of style alignment with the brief.
• Recommendation— hire (≥80), consider (60–79), pass (<60).
• Signature — their dominant hook patterns + tone observations across the batch.
• Strengths for this brief — specific moves they make that align with what you want.
• Gaps— where their style doesn't match what the brief asks for. Don't paper over these in outreach.
• Top 3 most relevant posts — links + relevance notes. These are the screenshots you would otherwise have taken manually.

• ≥80 (hire) — strong alignment. Their existing style already shoots what you need. Lowest brief-effort path.
• 60–79 (consider)— they have the chops but not the angle. Need a tighter brief that spells out the gaps. Often these become your best long-term partners because they're flexible.
• <60 (pass)— wrong voice or wrong format for this campaign. Don't try to reshape them via brief — find a different creator. (They might be perfect for a different campaign later.)

The swipe file at /draft/swipe-file is the same parallel-Quick-Bench foundation, but the output is different. Use it when:

• You're analyzing a competitor's feed, not vetting a potential hire.
• You want pattern aggregation (top hooks, recurring themes, what works) instead of fit scoring.
• You don't have a brief yet — you're doing market research to write one.

Both surfaces consume from the team's 1000/day analyze quota — each URL counts as one unit.

When the scorecard says "hire," head to /draft/creator-brief to generate the outbound DM. The template picker at the top of the workbench loads saved templates with one click — handy when you run multiple concurrent campaigns with the same structure but slightly different products.

Save successful templates after each successful run. Six campaigns in, you have a fully indexed brief library.

A typical scorecard run with 10 URLs: 10 analyze units + ~30 seconds of wall time. The team's 1000/day Agency analyze quota covers 100 such vettings per day shared across the team. Each successful hire costs ~$0.02 in analyzer credits. The bad hire it prevents costs at minimum the production fee and at maximum a campaign timeline.